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Keep it casual with the Casual Inference podcast. Your hosts Lucy D'Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health. Sponsored by the American Journal of Epidemiology.
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In a world in which everyone is talking about AI, a real track record is hard-earned. Inference by Silo AI dives deep into data-driven organizations and their product development to understand what it means to work with AI.
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Causal Bandits Podcast with Alex Molak is here to help you learn about causality, causal AI and causal machine learning through the genius of others. The podcast focuses on causality from a number of different perspectives, finding common grounds between academia and industry, philosophy, theory and practice, and between different schools of thought, and traditions. Your host, Alex Molak is an entrepreneur, independent researcher and a best-selling author, who decided to travel the world to ...
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Weekly Editors' Audio Summary for JAMA, the Journal of the American Medical Association
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Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular ...
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EE Journal's Amelia Dalton breaks down each week's EE news in an informative, fun and engaging style.
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Audio narrations of LessWrong posts. Includes all curated posts and all posts with 125+ karma. If you'd like more, subscribe to the “Lesswrong (30+ karma)” feed.
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Software engineers, architects and team leads have found inspiration to drive change and innovation in their team by listening to the weekly InfoQ Podcast. They have received essential information that helped them validate their software development map. We have achieved that by interviewing some of the top CTOs, engineers and technology directors from companies like Uber, Netflix and more. Over 1,200,000 downloads in the last 3 years.
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Keeping you up to date with the latest trends and best performing architectures in this fast evolving field in computer science. Selecting papers by comparative results, citations and influence we educate you on the latest research. Consider supporting us on Patreon.com/PapersRead for feedback and ideas.
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Technical discussions with deep learning researchers who study how to build intelligence. Made for researchers, by researchers.
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The Bittensor Guru focuses on Bittensor, the project that combines artificial intelligence and blockchain technology to create an incentivized marketplace for machine learning. This podcast covers the Bittensor ecosystem, community, projects, developments and much more. Hosted by Keith Singery, a Bittensor enthusiast who runs a validator and volunteers as a moderator on the project's official Discord server. Support this podcast by delegating Tao: https://taostats.io/validators/bittensor-gur ...
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Become a Paid Subscriber: https://anchor.fm/drnikkifnp-bc/subscribe This is a branch of MTG Health & Wellness. This podcast is for informational purposes only and not intended to offer any medical diagnosis or treatment. This is not an alternative to the care you receive from your doctors/health providers. DrNikki, FNP-BC is in no way making any medical claims that infer that CBD should be used in place of other prescription medications. Please research your own state laws regarding cannabis ...
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Welcome to Premio Inc's rugged edge media hub, a resource for rugged edge computing content that features product videos, technical application videos, podcasts, and company insights.
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Dive deep into the best sales & marketing automation stacks with hosts John J. Wall of Marketing Over Coffee and Sean Zinsmeister of Infer.
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Interviews with authors of JAMA Guide to Statistics and Methods chapters about common and new statistics and methods used in clinical research and reported in medical journals.
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When A Guy Has A Really F***ed Gender: the lovechild of Magnus Hirschfield and Joe Rogan. Each week, Jolene (she) talks to a guest about their gender, using their personal experience and interests as a springboard for further conversations about gender, sex, and sexuality.
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A daily update on the latest AI Research Papers. We provide a high level overview of a handful of papers each day and will link all papers in the description for further reading. This podcast is created entirely with AI by PocketPod. Head over to https://pocketpod.app to learn more.
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Running out of time to catch up with new arXiv papers? We take the most impactful papers and present them as convenient podcasts. If you're a visual learner, we offer these papers in an engaging video format. Our service fills the gap between overly brief paper summaries and time-consuming full paper reads. You gain academic insights in a time-efficient, digestible format. Code behind this work: https://github.com/imelnyk/ArxivPapers Support this podcast: https://podcasters.spotify.com/pod/s ...
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Taking or considering the GRE Exam or graduate school? You’ll love our short, approachable, and insightful episodes about the GRE Exam and graduate school admissions. This podcast is hosted by Tyler York, co-founder and CEO of Achievable, a modern test prep platform for the GRE exam. You can try it for free at https://achievable.me/ , and the course is only $199 to purchase.
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[не]правильний DevOps - говоримо за життя у DevOps та SRE. Дивись на Youtube: https://youtube.com/@DenysVasyliev Читай телеграм: https://t.me/deadopsclub Підтримуй на Patreon: https://www.patreon.com/denysvasyliev Слухай на платформах: Apple: https://apple.co/33rDn1V Spotify: https://spoti.fi/30oFsKU HB: https://bit.ly/3yneSOP Google: https://bit.ly/3pUM2Bl
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News, views, and interviews of interest to the nursing community.
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Matt Wallace, Tech CTO, covers innovation in AI with an eye on interesting takes for executives, entrepreneurs, and software engineers.
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The Mixtape with Scott is a podcast in which economist and professor, Scott Cunningham, interviews economists, scientists and authors about their lives and careers, as well as the some of their work. He tries to travel back in time with his guests to listen and hear their stories before then talking with them about topics they care about now. causalinf.substack.com
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Shri Sai baba is one of the most revered saints with large number of followers across religions. All his devoted followers around the world can testify to his amazing life teachings. 'Shri Sai Satcharitra' is based on the real-life stories of ‘Shirdi Ke Sai Baba’, a book written by Govind Raghunath Dabholkar. This audio book is our rendition of Shri Sai Satcharitra recited by Sai Deodhar, who is a devout devotee herself and explains Baba's philosophy in each episode in simpler words. Each an ...
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Already having a personal development podcast, Arsenio takes to the ESL world to get as much material as he can to his thousands of academic studying listeners around the world. My goal is to get every accent in the world on my podcast, so for those of you who are listening around the world, dare to ask me in my email down below how to come on for a conversation with me!Early Access: https://arsenioseslpodcast.podia.com/toefl-ibt/34154/monthly/buyTOEFL iBT Reading Course: https://arseniosesl ...
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Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the me ...
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Five-time winner of Best Education Podcast in the Podcast Awards. Grammar Girl provides short, friendly tips to improve your writing and feed your love of the English language. Whether English is your first language or your second language, these grammar, punctuation, style, and business tips will make you a better and more successful writer. Grammar Girl is a Quick and Dirty Tips podcast.
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Grammar Lab is the podcast where we unravel the intricacies of the English language, making grammar accessible and fun for everyone. Our grammar, style, punctuation, and usage tips will make you a more effective communicator and feed your love of language.
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Inspiring & guiding you along your spiritual journey. Hey there awakeners! Welcome to woke news! This News station is created for you, with you and here to take whatever resonates and leave what doesn’t. Join us every week as we explore real truths. “Remember, a lie you have to remember the truth you don’t” Empowering you to embrace your inner, knowing and creative passion. Discover a world beyond societal norms and awaken to your true power. Get ready to resonate, not intimidate, with the n ...
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exclusive musical content for a gratified listening pleasure.
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This is a branch of MTG Health & Wellness where health and wellness related topics are discussed by a doctoral-prepared Board Certified Family Nurse Practitioner (DNP, FNP-BC). There are occasional guest appearances. Cannabis/CBD use is rapidly growing in the medical community. As a Medical Cannabis Consultant, Dr. Nikki is knowledgeable about cannabis and CBD and loves to provide education regarding the safe and effective use, as well as possible dangers related to the misuse of cannabis. T ...
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teaching and learning of basic statistics
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A podcast about computational biology, bioinformatics, and next generation sequencing.
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Bite-sized stories about big reasons to be optimistic. Weekly short stories about the world getting better: teams pushing sustainable development forward using emerging tech, artificial intelligence, design, and behavioral science. Made with love by Quol.ai.
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A monthly podcast where we discuss recent research and developments in the world of Neural Search, LLMs, RAG and Natural Language Processing with our co-hosts Jakub Zavrel (AI veteran and founder at Zeta Alpha) and Dinos Papakostas (AI Researcher at Zeta Alpha).
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Keeping the public up to date with current research taking place in the stem cell research community. Listen to guest speakers discuss their work, how they got to where they are today and their hopes for the future of stem cell research. Hosted by King's College London Centre for Stem Cells & Regenerative Medicine.
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Welcome to Worker Movement, a podcast dedicated to the working class, a podcast dedicated to raising class consciousness. This podcast is for you, for us, for the worker. Leftist cohosts discuss a wide range of topics through the lens of the left / communist / socialist.
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Media Evolution is a membership organization that help media industries to innovate and grow. The videos in this podcast are generated at our annual conference The Conference and lectures we arrange throughout the year. http://www.mediaevolution.se
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The Transformative Ideas Podcast (formerly the ACIT Science Podcast). This podcast is to provide a glimpse into the life of scientists: to learn about the ideas they are passionate about, to find out what gets them out of bed every day to face the challenges and frustrations of working at the frontier to the unknown, and to share in some of the most important lessons they have learned in their career. For inquiries, reach out to manu.brenn@gmail.com.
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Dive into the growing role that data science plays in the latest biomedical innovations. I’m your host, Anika Gupta, a PhD student in Bioinformatics at Harvard and the Broad Institute. Join me for ~30 minutes each week as I go behind the scenes and check the pulse with domain experts and rising stars who are leading advances in data-driven human health. For a glossary of terms and resources my guests recommend, check out: bit.ly/datapulse-glossary Support this podcast: https://podcasters.spo ...
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Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
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The conventional recipe for maximizing model accuracy is to (1) train multiple models with various hyperparameters and (2) pick the individual model which performs best on a held-out validation set, discarding the remainder. In this paper, we revisit the second step of this procedure in the context of fine-tuning large pre-trained models, where fin…
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[QA] The Remarkable Robustness of LLMs: Stages of Inference?
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The study explores Large Language Models' robustness by deleting and swapping layers, finding interventions retain 72-95% accuracy without fine-tuning, with more layers showing increased robustness. https://arxiv.org/abs//2406.19384 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://po…
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Flexible methods with Edward Kennedy | Season 5 Episode 10
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Edward Kennedy Associate Professor, Department of Statistics & Data Science, Carnegie Mellon. Episode notes: ehkennedy.com Evaluating a Targeted Minimum Loss-Based Estimator for Capture-Recapture Analysis: An Application to HIV Surveillance in San Francisco, California: https://academic.oup.com/aje/article/193/4/673/7425624 Doubly Robust Capture-Re…
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“Connecting the Dots: LLMs can Infer & Verbalize Latent Structure from Training Data” by Johannes Treutlein, Owain_Evans
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Crossposted from the AI Alignment Forum. May contain more technical jargon than usual.This is a link post.TL;DR: We published a new paper on out-of-context reasoning in LLMs. We show that LLMs can infer latent information from training data and use this information for downstream tasks, without any in-context learning or CoT. For instance, we finet…
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At Memory Compute: Advancements in AI Inference with Untether AI
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In my podcast this week Bob Beachler from Untether and I explore Untether AI's unique approach to AI inference acceleration. We also chat about their recent collaboration with Arm and the benefits this collaboration brings to autonomous vehicle applications, and where Bob sees the evolution of AI-driven devices headed in the future. Also this week,…
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Causal Inference for Drug Repurposing & CausalLib | Ehud Karavani Ep 18 | CausalBanditsPodcast.com
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Send us a Text Message. Was Deep Learning Revolution Bad For Causal Inference? Did deep learning revolution slowed down the progress in causal research? Can causality help in finding drug repurposing candidates? What are the main challenges in using causal inference at scale? Ehud Karavani, the author of the CausalLib Python library and Researcher …
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NaRCan Revolutionizes Video Editing, Training-Free Video Generation, Recaptioning Web Images with LLaMA-3, Novel Data Synthesis Approach, Smartphone LLM Inference
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NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video EditingMotionClone: Training-Free Motion Cloning for Controllable Video GenerationWhat If We Recaption Billions of Web Images with LLaMA-3?Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingPowerInfer-2: Fast Large Language Model I…
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S3E21: Ashesh Rambachan, Predictive Algorithms and Causal Inference, MIT
1:16:44
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Greetings listeners! It is a pleasure to introduce this week’s guest on the podcast, Ashesh Rambachan, an assistant professor of economics at MIT. I wanted to talk to Ashesh for two main reasons. First, because I wanted to, and second, because I was aware of some of his recent work in econometrics. His recent article on evaluating the fragility of …
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Meryem Arik on LLM Deployment, State-of-the-art RAG Apps, and Inference Architecture Stack
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In this podcast, Meryem Arik, Co-founder/CEO at TitanML, discusses the innovations in Generative AI and Large Language Model (LLM) technologies including current state of large language models, LLM Deployment, state-of-the-art Retrieval Augmented Generation (RAG) apps, and inference architecture stack for LLM applications.Read a transcript of this …
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Ponatinib vs Imatinib for Ph+ ALL, Cholesterol from Childhood to Adulthood and CVD Risk, Causal Inference, and more
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Editor’s Summary by Preeti Malani, MD, MSJ, Deputy Editor of JAMA, the Journal of the American Medical Association, for the June 4, 2024, issue.
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#131 Inference - новий аплікейшн | AI Reliability Engineering | LLM Tracing with OpenInference
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Youtube: https://youtu.be/Ef6JUVLWPwU В цьому епізоді - моя доповідь на Fwdays: AI Reliability Engineering чи варто застосовувати новий підхід або продовжувати використовувати традиційний. Продукти та рішення штучного інтелекту набули величезного значення у забезпеченні конкурентоспроможності бізнесу. Однак розгортання та експлуатація продуктів шту…
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“LLM Generality is a Timeline Crux” by eggsyntax
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Crossposted from the AI Alignment Forum. May contain more technical jargon than usual. Short Summary LLMs may be fundamentally incapable of fully general reasoning, and if so, short timelines are less plausible. Longer summary There is ML research suggesting that LLMs fail badly on attempts at general reasoning, such as planning problems, schedulin…
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FineWeb Datasets, YouDream's 3D Animals, PDE-Solving Breakthrough, Noise-Conditioned Perception Alignment, Language Models' Continual Learning
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The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleYouDream: Generating Anatomically Controllable Consistent Text-to-3D AnimalsDiffusionPDE: Generative PDE-Solving Under Partial ObservationAligning Diffusion Models with Noise-Conditioned PerceptionUnlocking Continual Learning Abilities in Language Models…
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All Powered Up: EVs, Wide Bandgap, and Saving the World with Power Semiconductors
17:23
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Are you powered up for today’s Fish Fry? I certainly hope so! My podcast guest Frank Heidemann (National Instruments) and I are diving into the world of power semiconductors. We chat about recent trends in the power semiconductor market, the benefits of wide bandgap power semiconductors and the role that power semiconductors will play for the futur…
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[QA] REVISION MATTERS: Generative Design Guided by Revision Edits
9:09
9:09
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Investigating how human designer revisions benefit a multimodal generative model for layout design, showing expert edits lead to strong design outcomes, emphasizing human guidance for iterative improvement. https://arxiv.org/abs//2406.18559 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: ht…
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REVISION MATTERS: Generative Design Guided by Revision Edits
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Investigating how human designer revisions benefit a multimodal generative model for layout design, showing expert edits lead to strong design outcomes, emphasizing human guidance for iterative improvement. https://arxiv.org/abs//2406.18559 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: ht…
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1
The Remarkable Robustness of LLMs: Stages of Inference?
15:11
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The study explores Large Language Models' robustness by deleting and swapping layers, finding interventions retain 72-95% accuracy without fine-tuning, with more layers showing increased robustness. https://arxiv.org/abs//2406.19384 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://po…
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RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
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There are two common ways in which developers are incorporating proprietary and domain-specific data when building applications of Large Language Models (LLMs): Retrieval-Augmented Generation (RAG) and Fine-Tuning. RAG augments the prompt with the external data, while fine-Tuning incorporates the additional knowledge into the model itself. However,…
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BigCodeBench Challenges, Cambrian-1 Leap, D-MERIT's Evaluation, Long Context Breakthrough in Vision
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DreamBench++: A Human-Aligned Benchmark for Personalized Image GenerationBigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsCambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsEvaluating D-MERIT of Partial-annotation on Information RetrievalLong Context Transfer from Language to Vision…
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Buying your hometown newspaper, with Samantha & Greg Enslen
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998. This week, I talked with Samantha and Greg Enslen, who recently purchased their hometown newspaper, the "Tippecanoe Gazette" in Tipp City, Ohio. Sam and Greg shared how they are making it work, from updating antiquated systems to expanding news coverage and readership. We also discussed balancing print and digital content, the challenges of ad…
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[QA] Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
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Large Language Models can easily manipulate fact retrieval by changing contexts, behaving like associative memory models. Transformers use self-attention and value matrix for memory tasks. https://arxiv.org/abs//2406.18400 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…
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Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
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Large Language Models can easily manipulate fact retrieval by changing contexts, behaving like associative memory models. Transformers use self-attention and value matrix for memory tasks. https://arxiv.org/abs//2406.18400 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…
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[QA] Data curation via joint example selection further accelerates multimodal learning
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Jointly selecting batches of data improves learning in large-scale pretraining. Multimodal contrastive objectives reveal data dependencies, leading to faster training with reduced computational overhead. https://arxiv.org/abs//2406.17711 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https…
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Data curation via joint example selection further accelerates multimodal learning
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Jointly selecting batches of data improves learning in large-scale pretraining. Multimodal contrastive objectives reveal data dependencies, leading to faster training with reduced computational overhead. https://arxiv.org/abs//2406.17711 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https…
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“Formal verification, heuristic explanations and surprise accounting” by paulfchristiano
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ARC's current research focus can be thought of as trying to combine mechanistic interpretability and formal verification. If we had a deep understanding of what was going on inside a neural network, we would hope to be able to use that understanding to verify that the network was not going to behave dangerously in unforeseen situations. ARC is atte…
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Meet Premio's robust portfolio of fanless mini computers, purpose-built to serve as IoT gateways. These ultra-compact industrial mini PCs are deployed on-premises and ensure 24/7 uptimes to streamline real-time data telematics, IoT consolidation, and enable lite AI inferencing. Explore our Fanless Mini Computers >>…
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TOEFL iBT | Group Coaching | Integrated | Burning Mirrors
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Send us a Text Message. Support the Show. Instagram ESL Podcast: https://www.instagram.com/thearsenioseslpodcast?igsh=bnQxbHR0dWpnOXBr&utm_source=qr Podcast on Spotify: https://open.spotify.com/show/7hdzplWx6xB8mhwDJYiP6f Facebook: https://www.facebook.com/Arseniobuck/?ref=bookmarks Youtube: https://www.youtube.com/channel/UCIzp4EdbJVMhhSnq_0u4ntA…
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Enhancing AI Vision Solutions With Rugged Edge Industrial PC & Monitor
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Explore how a system integrator uses Premio’s Machine Vision Computer & Modular IP65 Touchscreen Panel PC to process their machine vision solutions Learn More >>
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[QA] Large Language Models are Interpretable Learners
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Combining Large Language Models with symbolic programs creates interpretable and accurate decision rules, bridging the gap between expressiveness and interpretability in predictive models. https://arxiv.org/abs//2406.17224 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…
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Large Language Models are Interpretable Learners
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Combining Large Language Models with symbolic programs creates interpretable and accurate decision rules, bridging the gap between expressiveness and interpretability in predictive models. https://arxiv.org/abs//2406.17224 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…
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Seven Failure Points When Engineering a Retrieval Augmented Generation System
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Software engineers are increasingly adding semantic search capabilities to applications using a strategy known as Retrieval Augmented Generation (RAG). A RAG system involves finding documents that semantically match a query and then passing the documents to a large language model (LLM) such as ChatGPT to extract the right answer using an LLM. RAG s…
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LongRAG Breakthrough, LLMs as Judges, Transformer Memory Insights, Video Library AI, Democratizing Art Styles
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LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMsJudging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-JudgesComplexity of Symbolic Representation in Working Memory of Transformer Correlates with the Complexity of a TaskTowards Retrieval Augmented Generation over Large Video LibrariesStylebreeder: Exploring …
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Fish Fry Special Edition: International Women in Engineering Day
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In honor of International Women in Engineering Day, I have an extra podcast episode this week! My guests are Dawn Vertz from Kohler Energy, Sarah Boen from Tektronix and Rosa Chow from TDK. I sat down with each of these esteemed engineers and discussed their journeys into the world of high tech, how the EE landscape has changed over the years and w…
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[QA] Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
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Memorization in language models is complex and influenced by various factors. A taxonomy approach helps understand and predict memorization patterns. https://arxiv.org/abs//2406.17746 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id169247…
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Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
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Memorization in language models is complex and influenced by various factors. A taxonomy approach helps understand and predict memorization patterns. https://arxiv.org/abs//2406.17746 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id169247…
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TOEFL iBT | 1 on 1 Coaching | SQ1 | Quick Tutorial
8:04
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Send us a Text Message. Support the Show. Instagram ESL Podcast: https://www.instagram.com/thearsenioseslpodcast?igsh=bnQxbHR0dWpnOXBr&utm_source=qr Podcast on Spotify: https://open.spotify.com/show/7hdzplWx6xB8mhwDJYiP6f Facebook: https://www.facebook.com/Arseniobuck/?ref=bookmarks Youtube: https://www.youtube.com/channel/UCIzp4EdbJVMhhSnq_0u4ntA…
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“LLM Generality is a Timeline Crux” by eggsyntax
13:08
13:08
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Summary Summary . LLMs may be fundamentally incapable of fully general reasoning, and if so, short timelines are less plausible. Longer summary There is ML research suggesting that LLMs fail badly on attempts at general reasoning, such as planning problems, scheduling, and attempts to solve novel visual puzzles. This post provides a brief introduct…
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“SAE feature geometry is outside the superposition hypothesis” by jake_mendel
18:29
18:29
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Summary: Superposition-based interpretations of neural network activation spaces are incomplete. The specific locations of feature vectors contain crucial structural information beyond superposition, as seen in circular arrangements of day-of-the-week features and in the rich structures. We don’t currently have good concepts for talking about this …
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Prostate Cancer Active Surveillance Outcomes, Race and RAS Blockade in Heart Failure, Pruritus Review, and more
10:30
10:30
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Editor’s Summary by Anne Rentoumis Cappola, MD, ScM, Associate Editor of JAMA, the Journal of the American Medical Association, for the June 25, 2024, issue.
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Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
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42:09
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Language agents perform complex tasks by using tools to execute each step precisely. However, most existing agents are based on proprietary models or designed to target specific tasks, such as mathematics or multi-hop question answering. We introduce Husky, a holistic, open-source language agent that learns to reason over a unified action space to …
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