How Language Models Are the Ultimate Database(Ep. 241)

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.</p> But... what if LLMs were just a database?</p>  </p> References</p> <a href="https://fchollet.substack.com/p/how-i-think-about-llm-prompt-engineering">https://fchollet.substack.com/p/how-i-think-about-llm-prompt-engineering</a></p>  </p>

00:26:26

Elon is right this time: Rust is the language of AI (Ep. 240)

In this episode, I delve into Elon Musk's foresight on the future of AI as he champions Rust programming language. <br /> Here is why Rust stands at the forefront of AI technology and the potential it holds.</p> References</p> <a href="https://github.com/WasmEdge/mediapipe-rs">https://github.com/WasmEdge/mediapipe-rs</a></p> <a href="https://blog.stackademic.com/why-did-elon-musk-say-that-rust-is-the-language-of-agi-eb36303ce341">https://blog.stackademic.com/why-did-elon-musk-say-that-rust-is-the-language-of-agi-eb36303ce341</a></p>  </p>

00:24:05

Attacking LLMs for fun and profit (Ep. 239)

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.</p> Have great fun and learn them responsibly.</p>  </p> References</p> <a href="https://www.jailbreakchat.com/">https://www.jailbreakchat.com/</a></p> <a href="https://www.reddit.com/r/ChatGPT/comments/10tevu1/new_jailbreak_proudly_unveiling_the_tried_and/">https://www.reddit.com/r/ChatGPT/comments/10tevu1/new_jailbreak_proudly_unveiling_the_tried_and/</a></p> <a href="https://arxiv.org/abs/2305.13860">https://arxiv.org/abs/2305.13860</a></p>  </p>

00:22:14

Unlocking Language Models: The Power of Prompt Engineering (Ep. 238)

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.</p>  </p> References</p> <ol><li><a href="https://arxiv.org/pdf/2109.01652.pdf">https://arxiv.org/pdf/2109.01652.pdf</a></li> <li><a href="https://arxiv.org/abs/2201.11903">https://arxiv.org/abs/2201.11903</a></li> <li><a href="https://arxiv.org/abs/2302.00923">https://arxiv.org/abs/2302.00923</a></li> <li><a href="https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering">https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering</a></li> <li><a href="https://www.axios.com/2023/02/22/chatgpt-prompt-engineers-ai-job">https://www.axios.com/2023/02/22/chatgpt-prompt-engineers-ai-job</a></li> </ol>

00:28:08

Erosion of Software Architecture Quality in the Age of AI Code Generation (Ep. 237)

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?</p>  </p> References</p> <a href="https://harmful.cat-v.org/cat-v/unix_prog_design.pdf">Program Design in the UNIX Environment</a><br /> https://harmful.cat-v.org/cat-v/unix_prog_design.pdf</p>

00:23:51

The new dimension of AI: Vector Databases (Ep. 236)

Let's delve into the emerging trend in database design – or is it really a new trend? <br /> The realm of vector databases and their revolutionary influence on AI and ML is making headlines. <br /> Come along as we investigate how these groundbreaking databases are revolutionizing the landscape of data storage, retrieval, and processing, ultimately unlocking the complete potential of artificial intelligence and machine learning. <br /> But are they genuinely as innovative as they seem?</p>  </p> References</p> <a href="https://partee.io/2022/08/11/vector-embeddings/">https://partee.io/2022/08/11/vector-embeddings/</a></p> <a href="https://blog.det.life/why-you-shouldnt-invest-in-vector-databases-c0cd3f59d23c">https://blog.det.life/why-you-shouldnt-invest-in-vector-databases-c0cd3f59d23c</a></p> <a href="https://medium.com/@ryanntk/choosing-the-right-embedding-model-a-guide-for-llm-applications-7a60180d28e3">https://medium.com/@ryanntk/choosing-the-right-embedding-model-a-guide-for-llm-applications-7a60180d28e3</a></p>  </p>  </p>

00:27:16

Building Self Serve Business Intelligence With AI and LLMs at Zenlytic (Ep. 235)

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 analytics platform. <br /> <br /> Join us as we explore how Zenlytic's natural language interface enhances user experiences, enabling seamless access and analysis of analytics data. Discover how their self-service platform empowers teams to leverage business intelligence effectively, and learn about the unique features that set Zenlytic apart from other analytics platforms in the market. Delve into the crucial aspects of data security and privacy while granting team access, and find out how Zenlytic's analytics capabilities have transformed companies into data-driven decision-makers, ultimately improving their performance. <br /> <br /> </p> References <ul><li>Zenlytic Website: <a href="https://www.zenlytic.com/product">https://www.zenlytic.com/product</a></li> <li>AI Will Save the World (a16z): <a href="https://a16z.com/2023/06/06/ai-will-save-the-world/">https://a16z.com/2023/06/06/ai-will-save-the-world/</a></li> <li>Llama AI (ai.meta.com): <a href="https://ai.meta.com/llama/">https://ai.meta.com/llama/</a></li> <li>"Llama 2: Open Foundation and Fine-Tuned Chat Models" (arxiv.org): <a href="https://arxiv.org/abs/2307.09288">https://arxiv.org/abs/2307.09288</a></li> <li>"GPT-4 Technical Report" (arxiv.org): <a href="https://arxiv.org/abs/2303.08774">https://arxiv.org/abs/2303.08774</a></li> </ul>

00:47:37

Money, Cryptocurrencies, and AI: Exploring the Future of Finance with Chris Skinner (Ep. 234)

In this captivating podcast episode, join renowned financial expert Chris Skinner as he delves into the fascinating realm of the future of money. <br /> 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 defines the future of money, examines the potential impact of cryptocurrencies on traditional government currencies, and addresses the advantages and disadvantages of digital currencies. <br /> Delve into the complex issues of regulation and governance in the context of emerging financial technologies, and discover Skinner's unique perspective on the metaverse and its implications for the future of money and technology. <br /> Brace yourself for an enlightening discussion on the integration of AI in the financial sector and its potential impact on humanity. Tune in to explore the cutting-edge concepts that shape our financial landscape and get a glimpse of what lies ahead.</p>  </p> You can read about Chris at <a href="https://thefinanser.com/">https://thefinanser.com/</a></p>  </p> Sponsors</p> This episode is sponsored by Setapp.  Setapp is a platform that combines 230+ powerful MacOS and iOS apps and<br /> tools under one $9.99 subscription. Their selection of apps is mostly helpful for people who use their<br /> Macs as an actual working tool, covering complete use cases like coding, designing, project and time<br /> management and so on. Once subscribed, you get full access to paid features of the apps, as well as to<br /> new apps that are being constantly added.<br /> So you’ll always be sure you’re not missing out on any cool apps and services that actually help you do<br /> your work more efficiently for just a fraction of the price. Get 7 days for free at <a href="https://stpp.co/dsat">https://stpp.co/dsat</a></p>  </p>

00:41:21

Debunking AGI Hype and Embracing Reality (Ep. 233)

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 misconceptions about AI, LLMs and AGI. <br /> Join us as we delve into the real-world implications of AI, separating fact from fiction, and gaining a firm grasp on the tangible possibilities of AI advancement. <br /> <br /> If you're seeking a refreshingly pragmatic perspective on the future of AI, this episode is an absolute must-listen.</p>  </p> Filip Piekniewski Bio<br /> Filip Piekniewski is a distinguished computer vision researcher and engineer, specializing in visual object tracking and perception. He approaches machine learning with a pragmatic mindset, recognizing its current limitations. Filip earned his Ph.D. from Warsaw University, where he explored neuroscience and later joined Brain Corporation in San Diego. His extensive study of neuroscience inspired him to develop innovative, bio-inspired machine learning architectures. Filip's unique blend of scientific curiosity and software engineering expertise allows him to quickly prototype and implement new ideas. He is known for his realistic perspective on AI, debunking AGI hype and focusing on tangible advancements.</p>   Sponsors</p> <ul><li> Finally, a better way to do B2B research. <a href="https://www.newtonx.com/datascience/">NewtonX </a>The World’s Leading B2B Market Research Company</p> </li> <li> Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let <a href="https://arcticwolf.com/datascience">Arctic Wolf</a> be your guide.<br /> Check it out at <a href="https://arcticwolf.com/datascience">https://arcticwolf.com/datascience</a></p> </li> <li><a href="https://amethix.com/">Amethix</a> works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance.</li> </ul>  </p> References</p> <ol><li><a href="https://twitter.com/filippie509">https://twitter.com/filippie509</a></li> <li><a href="http://blog.piekniewski.info/">http://blog.piekniewski.info/ (</a>On limits of deep learning and where to go next with AI.)</li> </ol> </p>  </p>

00:59:29

Full steam ahead! Unraveling Forward-Forward Neural Networks (Ep. 232)

In this exciting episode, we dive into the world of Forward-Forward Neural Networks, unveiling their mind-boggling power and potential. <br /> Join us as we demystify these advanced AI algorithms and explore how they're reshaping industries and revolutionizing machine learning. <br /> From self-driving cars to personalized medicine, discover the cutting-edge applications that are propelling us into a new era of AI greatness. <br /> Get ready to unlock the secrets of Forward-Forward Neural Networks and witness the future of artificial intelligence unfold before your eyes. <br /> Don't miss out – tune in now and be part of the AI revolution!</p> Sponsors <ul><li>Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let <a href="https://arcticwolf.com/datascience">Arctic Wolf</a> be your guide.<br /> Check it out at <a href="https://arcticwolf.com/datascience">https://arcticwolf.com/datascience</a></li> <li><a href="https://amethix.com/">Amethix</a> works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance.</li> </ul>  </p> References <p class="title mathjax"><a href="https://arxiv.org/abs/2212.13345">The Forward-Forward Algorithm: Some Preliminary Investigations</a></p>  </p>

00:23:35