Technology, AI, machine learning and algorithms. Come join the discussion on Discord! https://discord.gg/4UNKGf3
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Data Science at Home

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Destroy your toaster before it kills you. Drama at OpenAI and other stories (Ep. 244)
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Brace yourselves, dear friends! In this episode, we delve into the earth-shattering revelation that OpenAI might have stumbled upon AGI (lol) and we're all just seconds away from being replaced by highly sophisticated toasters (lol lol). Spoiler alert: OpenAI's CEO is just playing 7D chess with the entire human race. So, sit back, relax, and enjoy …
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Dive into the cool world of AI chips with us! 🚀 We're breaking down how these special computer chips for AI have evolved and what makes them different. Think of them like the superheroes of the tech world! Don't miss out! 🎙️🔍 #AIChips #TechTalk #SimpleScienceBy Francesco Gadaleta
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Rolling the Dice: Engineering in an Uncertain World (Ep. 242)
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22:44
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Hey there, engineering enthusiasts! Ever wondered how engineers deal with the wild, unpredictable twists and turns in their projects? In this episode, we're spilling the beans on uncertainty and why it's the secret sauce in every engineering recipe, not just the fancy stuff like deep learning and neural networks! Join us for a ride through the worl…
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How Language Models Are the Ultimate Database(Ep. 241)
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In this episode, dive deep into the world of Language Models as we decode their intricate structure, revealing how these powerful algorithms exploit concepts from the past. But... what if LLMs were just a database? References https://fchollet.substack.com/p/how-i-think-about-llm-prompt-engineeringBy Francesco Gadaleta
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Elon is right this time: Rust is the language of AI (Ep. 240)
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In this episode, I delve into Elon Musk's foresight on the future of AI as he champions Rust programming language. Here is why Rust stands at the forefront of AI technology and the potential it holds. References https://github.com/WasmEdge/mediapipe-rs https://blog.stackademic.com/why-did-elon-musk-say-that-rust-is-the-language-of-agi-eb36303ce341…
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Attacking LLMs for fun and profit (Ep. 239)
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As a continuation of Episode 238, I explain some effective and fun attacks to conduct against LLMs. Such attacks are even more effective on models served locally, that are hardly controlled by human feedback. Have great fun and learn them responsibly. References https://www.jailbreakchat.com/ https://www.reddit.com/r/ChatGPT/comments/10tevu1/new_ja…
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Unlocking Language Models: The Power of Prompt Engineering (Ep. 238)
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Join me on an enlightening journey through the world of prompt engineering. Explore the multifaceted skills and strategies involved in harnessing the potential of large language models for various applications. From enhancing safety measures to augmenting models with domain knowledge, learn how prompt engineering is shaping the future of AI. Refere…
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Erosion of Software Architecture Quality in the Age of AI Code Generation (Ep. 237)
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In this era of AI-powered code generation, software architects are facing a concerning decline in the quality of their creations. The once meticulously crafted software architectures are now being compromised. Should LLMs be responsible? References Program Design in the UNIX Environment https://harmful.cat-v.org/cat-v/unix_prog_design.pdf…
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The new dimension of AI: Vector Databases (Ep. 236)
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Let's delve into the emerging trend in database design – or is it really a new trend? The realm of vector databases and their revolutionary influence on AI and ML is making headlines. Come along as we investigate how these groundbreaking databases are revolutionizing the landscape of data storage, retrieval, and processing, ultimately unlocking the…
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Building Self Serve Business Intelligence With AI and LLMs at Zenlytic (Ep. 235)
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In this episode, we dive into the world of data analytics and artificial intelligence with Ryan, the CEO, and Paul, the CTO of Zenlytic. Having graduated from Harvard and with extensive backgrounds in venture capital, consulting, and data engineering, Ryan and Paul provide valuable insights into their journey of building Zenlytic, a cutting-edge an…
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Money, Cryptocurrencies, and AI: Exploring the Future of Finance with Chris Skinner (Ep. 234)
41:21
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In this captivating podcast episode, join renowned financial expert Chris Skinner as he delves into the fascinating realm of the future of money. From cryptocurrencies to government currencies, the metaverse to artificial intelligence (AI), Skinner explores the intricate interplay between technology and humanity. Gain valuable insights as he define…
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Debunking AGI Hype and Embracing Reality (Ep. 233)
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In this thought-provoking episode, we sit down with the renowned AI expert, Filip Piekniewski, Phd, who fearlessly challenges the prevailing narratives surrounding artificial general intelligence (AGI) and the singularity. With a no-nonsense approach and a deep understanding of the field, Filip dismantles the hype and exposes some of the misconcept…
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Full steam ahead! Unraveling Forward-Forward Neural Networks (Ep. 232)
23:35
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In this exciting episode, we dive into the world of Forward-Forward Neural Networks, unveiling their mind-boggling power and potential. Join us as we demystify these advanced AI algorithms and explore how they're reshaping industries and revolutionizing machine learning. From self-driving cars to personalized medicine, discover the cutting-edge app…
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The LLM Battle Begins: Google Bard vs ChatGPT (Ep. 231)
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Brace yourselves as we uncover the mind-blowing AI model, Google Bard, that's poised to challenge ChatGPT and other conversational AI systems. Join us as we explore the revolutionary features of Bard, its cutting-edge architecture, and its ability to generate human-like responses. Discover why AI enthusiasts are buzzing with excitement. References:…
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Unleashing the Force: Blending Neural Networks and Physics for Epic Predictions (Ep. 230)
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In this enlightening episode of our podcast, we delve into the fascinating realm of Physics Informed Neural Networks (PINNs) and explore how they combine the extraordinary prediction capabilities of neural networks with the unparalleled accuracy of physics models. Join us as we unravel the mysteries behind PINNs and their potential to revolutionize…
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AI’s Impact on Software Engineering: Killing Old Principles? [RB] (Ep. 229)
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13:54
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In this episode, we dive into the ways in which AI and machine learning are disrupting traditional software engineering principles. With the advent of automation and intelligent systems, developers are increasingly relying on algorithms to create efficient and effective code. However, this reliance on AI can come at a cost to the tried-and-true met…
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Warning! Mathematical Mayhem Ahead: Demystifying Liquid Time-Constant Networks (Ep. 228)
20:59
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Hold on to your calculators and buckle up for a wild mathematical ride in this episode! Brace yourself as we dive into the fascinating realm of Liquid Time-Constant Networks (LTCs), where mathematical content reaches new heights of excitement. In this mind-bending adventure, we demystify the intricacies of LTCs, from complex equations to mind-boggl…
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Efficiently Retraining Language Models: How to Level Up Without Breaking the Bank (Ep. 227)
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Get ready for an eye-opening episode! 🎙️ In our latest podcast episode, we dive deep into the world of LoRa (Low-Rank Adaptation) for large language models (LLMs). This groundbreaking technique is revolutionizing the way we approach language model training by leveraging low-rank approximations. Join us as we unravel the mysteries of LoRa and discov…
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Revolutionize Your AI Game: How Running Large Language Models Locally Gives You an Unfair Advantage Over Big Tech Giants (Ep. 226)
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This is the first episode about the latest trend in artificial intelligence that's shaking up the industry - running large language models locally on your machine. This new approach allows you to bypass the limitations and constraints of cloud-based models controlled by big tech companies, and take control of your own AI journey. We'll delve into t…
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Data Science at Home


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Rust: A Journey to High-Performance and Confidence in Code at Amethix Technologies (Ep. 225)
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The journey of porting our projects to Rust was intense, but it was a decision we made to improve the quality of our software. The migration was not an easy task, as it required a considerable amount of time and resources. However, it was worth the effort as we have seen significant improvements in code reusability, code cleanliness, and performanc…
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The Power of Graph Neural Networks: Understanding the Future of AI - Part 2/2 (Ep.224)
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In this episode of our podcast, we dive deep into the fascinating world of Graph Neural Networks. First, we explore Hierarchical Networks, which allow for the efficient representation and analysis of complex graph structures by breaking them down into smaller, more manageable components. Next, we turn our attention to Generative Graph Models, which…
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The Power of Graph Neural Networks: Understanding the Future of AI - Part 1/2 (Ep.223)
27:40
27:40
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In this episode, I explore the cutting-edge technology of graph neural networks (GNNs) and how they are revolutionizing the field of artificial intelligence. I break down the complex concepts behind GNNs and explain how they work by modeling the relationships between data points in a graph structure. I also delve into the various real-world applica…
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Leveling Up AI: Reinforcement Learning with Human Feedback (Ep. 222)
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In this episode, we dive into the not-so-secret sauce of ChatGPT, and what makes it a different model than its predecessors in the field of NLP and Large Language Models. We explore how human feedback can be used to speed up the learning process in reinforcement learning, making it more efficient and effective. Whether you're a machine learning pra…
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The promise and pitfalls of GPT-4 (Ep. 221)
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In this episode, we explore the potential of the highly anticipated GPT-4 language model and the challenges that come with its development. From its ability to generate highly coherent and creative text to concerns about ethical considerations and the potential misuse of such technology, we delve into the promise and pitfalls of GPT-4. Join us as w…
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Data Science at Home


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AI’s Impact on Software Engineering: Killing Old Principles? (Ep. 220)
13:26
13:26
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13:26
In this episode, we dive into the ways in which AI and machine learning are disrupting traditional software engineering principles. With the advent of automation and intelligent systems, developers are increasingly relying on algorithms to create efficient and effective code. However, this reliance on AI can come at a cost to the tried-and-true met…
…
continue reading