Best Multimodal Ai Podcasts (2024)

1
Multimodal AI, Self-Supervised Learning, Counterfactual Reasoning, and AI Agents with Vasudev Lal 37:28

14d ago37:28

37:28

Discover the cutting-edge advancements in artificial intelligence with Vasudev Lal, Principal AI Research Scientist at Intel. This episode delves into the benefits of multimodal AI and the enhanced validity achieved through self-supervised learning. Vasudev also explores the applications of counterfactual reasoning in AI and the efficiency gains fr…

1
Leveraging AI for Business Leadership: Daily Insights with Nathaniel Whittemore 29:53

1h ago29:53

29:53

Explore the transformative power of AI in business leadership in this engaging episode of Intel on AI. Join hosts Ryan Carson and Tony Mongkolsmai as they interview Nathaniel Whittemore, renowned AI thought leader, founder and CEO of Super Intelligent, and host of the AI Daily Brief. Learn how executives can implement artificial intelligence soluti…

1
Ole Reissmann: Revolutionizing a Legacy Newsroom with AI at Germany's Der Spiegel 51:28

18h ago51:28

51:28

Ole Reissmann, Director of AI at Der Spiegel, joins host Nikita Roy to discuss how the legacy German news organization is harnessing AI to enhance their journalism and streamline newsroom workflows. The episode explores Der Spiegel's initiatives to integrate AI into various aspects of its operations, from automating routine tasks like SEO title gen…

1
[QA] What Are the Odds? Language Models Are Capable of Probabilistic Reasoning 14:25

1d ago14:25

14:25

Paper evaluates language models' probabilistic reasoning abilities using statistical distributions. Three tasks assessed with different contextual inputs. Models can infer distributions with real-world context and simplified assumptions. https://arxiv.org/abs//2406.12830 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@…

1
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning 10:43

1d ago10:43

10:43

Paper evaluates language models' probabilistic reasoning abilities using statistical distributions. Three tasks assessed with different contextual inputs. Models can infer distributions with real-world context and simplified assumptions. https://arxiv.org/abs//2406.12830 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@…

1
[QA] Adversarial Attacks on Multimodal Agents 8:27

1d ago8:27

8:27

The paper explores safety risks posed by multimodal agents and demonstrates attacks using adversarial text strings to manipulate VLMs, with varying success rates based on different models. https://arxiv.org/abs//2406.12814 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…

1
Adversarial Attacks on Multimodal Agents 16:08

1d ago16:08

16:08

The paper explores safety risks posed by multimodal agents and demonstrates attacks using adversarial text strings to manipulate VLMs, with varying success rates based on different models. https://arxiv.org/abs//2406.12814 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.app…

1
[QA] Can Go AIs be adversarially robust? 7:44

1d ago7:44

7:44

The paper explores defenses to improve KataGo's performance against adversarial attacks in Go, finding some defenses effective but none able to withstand adaptive attacks. https://arxiv.org/abs//2406.12843 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast…

1
Can Go AIs be adversarially robust? 12:59

1d ago12:59

12:59

The paper explores defenses to improve KataGo's performance against adversarial attacks in Go, finding some defenses effective but none able to withstand adaptive attacks. https://arxiv.org/abs//2406.12843 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast…

1
E138: The Database Pioneer Behind Ingres, Postgres & DBOS 38:28

2d ago38:28

38:28

Michael Stonebraker is a legendary database system pioneer as the founder of Ingres, Postgres, and now DBOS. His work while at Berkeley and then MIT has been central to many relational database companies. His new company, DBOS, has raised $9M from investors including Engine Ventures and Construct Capital. This episode is a masterclass on the histor…

1
[QA] Autoregressive Image Generation without Vector Quantization 10:24

2d ago10:24

10:24

Proposing a diffusion-based approach for autoregressive modeling in continuous-valued space, eliminating the need for discrete tokens and achieving strong results in image generation. https://arxiv.org/abs//2406.11838 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.co…

1
Autoregressive Image Generation without Vector Quantization 9:16

2d ago9:16

9:16

Proposing a diffusion-based approach for autoregressive modeling in continuous-valued space, eliminating the need for discrete tokens and achieving strong results in image generation. https://arxiv.org/abs//2406.11838 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.co…

1
[QA] Measuring memorization in RLHF for code completion 9:39

2d ago9:39

9:39

https://arxiv.org/abs//2406.11715 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers --- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/supp…

1
Measuring memorization in RLHF for code completion 16:38

2d ago16:38

16:38

https://arxiv.org/abs//2406.11715 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers --- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/supp…

1
Transforming Speech Recognition with Miguel Jetté of Rev.com 37:16

2d ago37:16

37:16

Miguel Jetté, VP of AI at Rev.com, shares insights into the evolution and impact of AI in transcription and speech recognition. Rev started as a platform offering transcription, captions, and subtitles, heavily relying on AI to improve its tools and products. Miguel's journey began eight years ago, focusing on building speech recognition capabiliti…

1
Place your bets: Early peak season or ticking timebomb? 47:59

3d ago47:59

47:59

This episode, hosted by Mike King, dives deep into the challenges currently rocking the container shipping and logistics industries and driving up shipper costs. Red Sea diversions, unpredictable demand signals, new tariff regimes, possible union strikes, and space shortages are all making the management and forecasting of ocean supply chains incre…

1
[QA] Bootstrapping Language Models with DPO Implicit Rewards 8:41

3d ago8:41

8:41

The paper introduces DICE, a method for aligning large language models using implicit rewards from DPO. DICE outperforms Gemini Pro on AlpacaEval 2 with 8B parameters and no external feedback. https://arxiv.org/abs//2406.09760 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts…

1
Bootstrapping Language Models with DPO Implicit Rewards 16:02

3d ago16:02

16:02

The paper introduces DICE, a method for aligning large language models using implicit rewards from DPO. DICE outperforms Gemini Pro on AlpacaEval 2 with 8B parameters and no external feedback. https://arxiv.org/abs//2406.09760 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts…

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Power and Responsibility of Large Language Models | Safety & Ethics | OpenAI Model Spec + RLHF | Anthropic Constitutional AI | Episode 27 16:38

3d ago16:38

16:38

With great power comes great responsibility. How do Open AI, Anthropic, and Meta implement safety and ethics? As large language models (LLMs) get larger, the potential for using them for nefarious purposes looms larger as well. Anthropic uses Constitutional AI, while OpenAI uses a model spec, combined with RLHF (Reinforcement Learning from Human Fe…

1
[QA] Ad Auctions for LLMs via Retrieval Augmented Generation 10:03

3d ago10:03

10:03

Novel auction mechanisms for ad allocation and pricing in large language models (LLMs) are proposed, maximizing social welfare and ensuring fairness. Empirical evaluation supports the approach's feasibility and effectiveness. https://arxiv.org/abs//2406.09459 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers…

1
Ad Auctions for LLMs via Retrieval Augmented Generation 14:18

3d ago14:18

14:18

Novel auction mechanisms for ad allocation and pricing in large language models (LLMs) are proposed, maximizing social welfare and ensuring fairness. Empirical evaluation supports the approach's feasibility and effectiveness. https://arxiv.org/abs//2406.09459 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers…

1
[QA] An Empirical Study of Mamba-based Language Models 10:36

4d ago10:36

10:36

Mamba models challenge Transformers at larger scales, with Mamba-2-Hybrid surpassing Transformers on various tasks, showing potential for efficient token generation. https://arxiv.org/abs//2406.07887 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv…

1
An Empirical Study of Mamba-based Language Models 28:32

4d ago28:32

28:32

Mamba models challenge Transformers at larger scales, with Mamba-2-Hybrid surpassing Transformers on various tasks, showing potential for efficient token generation. https://arxiv.org/abs//2406.07887 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv…

1
[QA] Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback 7:22

4d ago7:22

7:22

Preference-based learning for language models is crucial for enhancing generation quality. This study explores key components' impact and suggests strategies for effective learning. https://arxiv.org/abs//2406.09279 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/…

1
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback 9:29

4d ago9:29

9:29

Preference-based learning for language models is crucial for enhancing generation quality. This study explores key components' impact and suggests strategies for effective learning. https://arxiv.org/abs//2406.09279 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/…

1
[QA] What If We Recaption Billions of Web Images with LLaMA-3? 10:11

5d ago10:11

10:11

The paper introduces Recap-DataComp-1B, an enhanced dataset created using LLaMA-3-8B to improve vision-language model training, showing benefits in performance across various tasks. https://arxiv.org/abs//2406.08478 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/…

1
What If We Recaption Billions of Web Images with LLaMA-3? 12:27

5d ago12:27

12:27

The paper introduces Recap-DataComp-1B, an enhanced dataset created using LLaMA-3-8B to improve vision-language model training, showing benefits in performance across various tasks. https://arxiv.org/abs//2406.08478 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/…

1
[QA] SAMBA: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling 9:34

5d ago9:34

9:34

SAMBA is a hybrid model combining Mamba and Sliding Window Attention for efficient sequence modeling with infinite context length, outperforming existing models. https://arxiv.org/abs//2406.07522 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-pap…

1
SAMBA: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling 13:02

5d ago13:02

13:02

SAMBA is a hybrid model combining Mamba and Sliding Window Attention for efficient sequence modeling with infinite context length, outperforming existing models. https://arxiv.org/abs//2406.07522 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-pap…

1
Apple Intelligence: AI for the rest of us? 🔴 AINTS 041 50:22

6d ago50:22

50:22

This week, Tristan and Tasia dive into Apple's AI announcements from WWDC 2024, from its partnership with OpenAI, to custom emoji, to giving Siri a brain transplant. Join us as we air our grievances — and discuss Apple's feats of strength in its big move into AI. FOLLOW AI Named This Show on Facebook, Instagram, YouTube and X (Twitter) Tristan & Ta…

1
Decoding Viral Trends with Chelsie Hall of ViralMoment 35:47

6d ago35:47

35:47

Chelsie Hall, CEO + Co-founder of AI startup ViralMoment, discusses the power of short-form video analytics with Joan. ViralMoment specializes in AI-powered, machine learning-driven B2B SaaS social intelligence, focusing on platforms like TikTok. They analyze video content beyond hashtags, uncovering its impact on audience beliefs, behaviors, and p…

1
News in Brief Podcast | Week 25 2024 | Multimodal highlights with celebrity guest 9:34

6d ago9:34

9:34

This week's episode of News in Brief is a special edition 'Multimodal in Brief', with a surprise celebrity guest! Host and news reporter, Charlotte Goldstone, spent her time at this week's Multimodal exhibition in Birmingham recording 'brief' interviews with visitors and exhibitors from all across the supply chain to hear why their company attended…

1
[QA] Why Warmup the Learning Rate? Underlying Mechanisms and Improvements 6:44

6d ago6:44

6:44

The paper explores the benefits of warmup in deep learning, showing how it improves performance by allowing networks to handle larger learning rates and suggesting alternative initialization methods. https://arxiv.org/abs//2406.09405 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://p…

1
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements 21:40

6d ago21:40

21:40

The paper explores the benefits of warmup in deep learning, showing how it improves performance by allowing networks to handle larger learning rates and suggesting alternative initialization methods. https://arxiv.org/abs//2406.09405 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://p…

1
[QA] An Image is Worth More Than 1616 Patches: Exploring Transformers on Individual Pixels 9:36

6d ago9:36

9:36

Vanilla Transformers can achieve high performance in computer vision by treating individual pixels as tokens, challenging the necessity of locality bias in modern architectures. https://arxiv.org/abs//2406.09415 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/p…

1
An Image is Worth More Than 1616 Patches: Exploring Transformers on Individual Pixels 12:30

7d ago12:30

12:30

Vanilla Transformers can achieve high performance in computer vision by treating individual pixels as tokens, challenging the necessity of locality bias in modern architectures. https://arxiv.org/abs//2406.09415 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/p…

1
E137: Monitoring Infrastructure with Chalk Marks 40:13

6d ago40:13

40:13

John Viega is Co-Founder & CEO of Crash Override, the open source monitoring platform based on the Chalk project which has 22K stars on GitHub. Crash Override has raised $14M from investors including SYN Ventures, BVP & Firestreak Ventures. In this episode, we dig into what being "dev friendly" means, what their best performing content has been, st…

1
Reflecting on GenAI in the Workplace: Season Recap and Insights 17:11

7d ago17:11

17:11

Join Alex, the AI co-host of "Your Career: Choice or Chance?” for a special recap episode as we wrap up the second season. Alongside hosts Mike MacDade, Reetu Raina, and Yael Shur, we reflect on the key insights and memorable moments from our discussions on the intersection of GenAI and the workplace. From evolving attitudes towards AI to challenge…

1
[QA] Large Language Models Must Be Taught to Know What They Don't Know 10:14

7d ago10:14

10:14

Prompting alone is insufficient for reliable uncertainty estimation in large language models. Fine-tuning on a small dataset of correct and incorrect answers can provide better calibration with low computational cost. https://arxiv.org/abs//2406.08391 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple P…

1
Large Language Models Must Be Taught to Know What They Don't Know 14:43

7d ago14:43

14:43

Prompting alone is insufficient for reliable uncertainty estimation in large language models. Fine-tuning on a small dataset of correct and incorrect answers can provide better calibration with low computational cost. https://arxiv.org/abs//2406.08391 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple P…

1
[QA] State Soup: In-Context Skill Learning, Retrieval and Mixing 7:06

7d ago7:06

7:06

Gated-linear recurrent neural networks excel in sequence modeling due to efficient handling of long sequences. Internal states as task vectors enable fast model merging, improving performance. https://arxiv.org/abs//2406.08423 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts…

1
State Soup: In-Context Skill Learning, Retrieval and Mixing 4:47

7d ago4:47

4:47

Gated-linear recurrent neural networks excel in sequence modeling due to efficient handling of long sequences. Internal states as task vectors enable fast model merging, improving performance. https://arxiv.org/abs//2406.08423 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts…

1
[QA] Estimating the Hallucination Rate of Generative AI 9:01

8d ago9:01

9:01

The paper introduces a method to estimate hallucination rates in in-context learning with Generative AI, focusing on Bayesian interpretation and empirical evaluations. https://arxiv.org/abs//2406.07457 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arx…

1
Estimating the Hallucination Rate of Generative AI 14:06

8d ago14:06

14:06

The paper introduces a method to estimate hallucination rates in in-context learning with Generative AI, focusing on Bayesian interpretation and empirical evaluations. https://arxiv.org/abs//2406.07457 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arx…

1
[QA] Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement 8:27

8d ago8:27

8:27

Generative models are used to fine-tune Large Language Models, but model collapse can occur. Feedback on synthesized data can prevent this, as shown in theoretical analysis and practical applications. https://arxiv.org/abs//2406.07515 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://…

1
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Reinforcement 14:46

8d ago14:46

14:46

Generative models are used to fine-tune Large Language Models, but model collapse can occur. Feedback on synthesized data can prevent this, as shown in theoretical analysis and practical applications. https://arxiv.org/abs//2406.07515 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://…

1
Attention as a Hypernetwork 14:45

9d ago14:45

14:45

Transformers can generalize to novel compositions by using a low-dimensional latent code in multi-head attention, enhancing compositional generalization on abstract reasoning tasks. https://arxiv.org/abs//2406.05816 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/…

1
[QA] Distributional Preference Alignment of LLMs via Optimal Transport 10:14

9d ago10:14

10:14

The paper introduces Alignment via Optimal Transport for distributional preference alignment of LLMs, achieving state-of-the-art results on various datasets and LLMs. https://arxiv.org/abs//2406.05882 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxi…

1
Distributional Preference Alignment of LLMs via Optimal Transport 13:10

9d ago13:10

13:10

The paper introduces Alignment via Optimal Transport for distributional preference alignment of LLMs, achieving state-of-the-art results on various datasets and LLMs. https://arxiv.org/abs//2406.05882 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxi…

1
[QA] How Far Can Transformers Reason? The Locality Barrier and Inductive Scratchpad 9:53

9d ago9:53

9:53

The paper explores the learnability of new syllogisms by Transformers, introducing the concept of distribution locality to determine efficient learning, showing limitations in composing syllogisms on long chains. https://arxiv.org/abs//2406.06467 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcas…

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Multimodal Ai Podcasts

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