Eavesdrop in on chats between Nicolay, William, and their savvy friends about the latest in AI: new architectures, developments, and tools. It's like chilling with your techie friends at the bar downing a few beers.
Artificially Unintelligent
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4.4(8 reviews)
52 episodes
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Podcast Overview
Eavesdrop in on chats between Nicolay, William, and their savvy friends about the latest in AI: new architectures, developments, and tools. It's like chilling with your techie friends at the bar downing a few beers.
Language
🇺🇲
Publishing Since
7/3/2023
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Recent Episodes
December 17, 2023
E49 Arxiv Dives: Retrieval Augmented Generation for Knowledge-Intensive NLP Tasks
<p>In this episode of the Artificially Unintelligent podcast, hosts William and Nicolay look into the paper "Retrieval Augmented Generation for Knowledge-intensive NLP Tasks." They discuss the significance of RAG (Retrieval Augmented Generation) in enhancing large language models (LLMs), highlighting its innovative approach to combining linguistic and factual knowledge. The episode covers the shift from parametric to non-parametric memory in AI, examining the challenges and potential solutions for separating these components. They also explore the paper's practical implications, particularly in the context of Meta's research direction and the broader NLP field. Key takeaways include the importance of RAG in reducing hallucinations in LLMs and the future direction of AI research, especially in multimodality. Tune in for an insightful deep dive into the evolving world of AI and NLP.</p> <p>Do you still want to hear more from us? Follow us on the Socials:</p> <ul> <li>Nicolay: <a href="https://www.linkedin.com/in/nicolay-gerold/">LinkedIn</a> | <a href="https://twitter.com/phroneteon">X (formerly known as Twitter)</a></li> <li>William: <a href="https://www.linkedin.com/in/williamlindskog/">LinkedIn</a></li> </ul>
December 13, 2023
E48 Making LLM Training Easier with Hugging Face's TRL
<p>In this episode of the Artificially Unintelligent Podcast, hosts William and Nicolay delve into Hugging Face's Transformer Reinforcement Learning (TRL) library, discussing its impact and potential in AI training. They begin by explaining what Hugging Face is and its significance in the AI community, emphasizing its repository of models and datasets, particularly for large language models. The conversation then shifts to the TRL library, highlighting its ease of use and integration with other Hugging Face libraries, such as PyTorch and TensorFlow. They explore the simplicity of the TRL trainer classes, which make complex training processes more accessible, especially for reinforcement learning by human feedback. The hosts also discuss TRL's applications in natural language processing and ponder its potential in other modalities like images and audio. Wrapping up, they reflect on Hugging Face's business model and its contribution to the open-source AI community. This episode offers valuable insights into the TRL library, making it a must-listen for AI enthusiasts and professionals interested in efficient and effective AI model training.</p> <p>Do you still want to hear more from us? Follow us on the Socials:</p> <ul> <li>Nicolay: <a href="https://www.linkedin.com/in/nicolay-gerold/">LinkedIn</a> | <a href="https://twitter.com/phroneteon">X (formerly known as Twitter)</a></li> <li>William: <a href="https://www.linkedin.com/in/williamlindskog/">LinkedIn</a></li> </ul>
December 11, 2023
E47 A Retrospective on OpenAI's Turbulent Weekend: Leadership, Breakthroughs, and Speculations
<p>In this episode of Artificially Unintelligent, hosts William and Nicolay dive into the dramatic events unfolding at OpenAI. They discuss the whirlwind of changes in leadership, starting with the unexpected firing of Sam Altman and the subsequent shakeup within the company's board of directors. The conversation touches on the speculated reasons behind these moves, including a groundbreaking AI development known as QStar and its safety implications. They explore the nuances of this development, discussing how it might enhance AI's mathematical capabilities and the potential risks involved. The hosts also speculate on how Microsoft, as a major stakeholder in OpenAI, might benefit from these changes. The episode provides an in-depth analysis of the recent turmoil at OpenAI, offering insights into the complex dynamics of leading AI companies and the implications these changes could have on the future of AI development.</p> <p>Do you still want to hear more from us? Follow us on the Socials:</p> <ul> <li>Nicolay: <a href="https://www.linkedin.com/in/nicolay-gerold/">LinkedIn</a> | <a href="https://twitter.com/phroneteon">X (formerly known as Twitter)</a></li> <li>William: <a href="https://www.linkedin.com/in/williamlindskog/">LinkedIn</a></li> </ul>
52 total episodes available
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