Latent Space: The AI Engineer Podcast

swyx + Alessio
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103 snips
Oct 19, 2023 • 1h 9min

The End of Finetuning — with Jeremy Howard of Fast.ai

Jeremy Howard, co-creator of Fast.ai and a leading voice in machine learning, shares his journey from skepticism to success in AI. He discusses the groundbreaking ULMFiT approach to fine-tuning language models and how it faced initial resistance despite its effectiveness. Howard emphasizes the importance of democratizing AI, creating accessible tools, and fostering community engagement. He also explores the evolution of training dynamics in language models and the power of technology to empower diverse communities, advocating for open-source initiatives.
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92 snips
Oct 14, 2023 • 1h 5min

Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue

Kanjun Qiu, co-founder of Imbue, shares insights on building capable AI agents and the challenges they face. He discusses the pitfalls of relying solely on reinforcement learning, revealing why it struggles with higher-level reasoning. The conversation covers innovative projects like Avalon, aimed at improving AI training environments, and the importance of high-quality data. Kanjun also emphasizes the need for creative company cultures and community-driven innovation to advance AI technology responsibly and effectively.
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37 snips
Oct 8, 2023 • 1h 30min

[AIE Summit Preview #2] The AI Horcrux — Swyx on Cognitive Revolution

Swyx, an AI engineer and host of the Cognitive Revolution podcast, joins Nathan LeBenz to discuss the evolving landscape of AI engineering. They highlight the growing demand for AI engineers and share insights on essential skills, tools, and the hiring landscape. Skepticism among software engineers and the transformative potential of AI tools like GPT-4 are also explored. With a preview of the upcoming AI Engineer Summit, they emphasize the importance of community and ongoing education in navigating the fast-paced AI world.
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27 snips
Oct 7, 2023 • 39min

[AIE Summit Preview #1] Swyx on Software 3.0 and the Rise of the AI Engineer

In this insightful conversation, Swyx, an AI expert and keynote speaker at the AI Engineer Summit, delves into the evolution of Software 3.0. He explains how this new paradigm leverages foundation models like GPT-3, eliminating the need for traditional data labeling. Swyx also highlights the burgeoning role of AI engineers and the importance of understanding model architecture. The discussion touches on OpenAI's innovations, the debate over true intelligence in language models, and the necessity of practical solutions in the AI landscape.
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131 snips
Oct 5, 2023 • 1h 8min

RAG Is A Hack - with Jerry Liu from LlamaIndex

Join Jerry Liu, the founder of LlamaIndex, as he shares his journey from roles at Uber and Quora to leading the RAG revolution in AI. He delves into the evolution of LlamaIndex, which enables better knowledge access through its innovative tree-index structure. Liu discusses the complexities of fine-tuning large language models and the importance of hands-on experience in optimizing performance. The conversation touches on the integration of structured and unstructured data, as well as the critical challenges in evaluating RAG systems, making it a fascinating listen for AI enthusiasts.
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33 snips
Sep 29, 2023 • 1h 21min

Building the Foundation Model Ops Platform — with Raza Habib of Humanloop

Raza Habib, Co-founder and CEO of Humanloop, discusses the evolution of prompt engineering and its essential role in AI development. He highlights the importance of effective prompt evaluations and the various types of human feedback that drive product innovation. Habib also explores the challenges of navigating AI landscapes between Europe and the US, emphasizing the need for practical applications of AI. Additionally, he introduces Humanloop's new free tier, designed to enhance accessibility for startups, and shares insights on achieving product-market fit in the fast-paced AI industry.
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23 snips
Sep 20, 2023 • 53min

Heralds of the AI Content Flippening — with Youssef Rizk of Wondercraft.ai

Youssef Rizk, co-founder of Wondercraft AI, dives into the transformative world of AI-generated content. He discusses the development of Wondercraft and its innovative tools that enhance podcast creation. The conversation highlights the growing influence of AI in making academic research accessible and emphasizes the importance of consistent quality in audio storytelling. Rizk also tackles the balance between human creativity and AI's role, revealing how voice characteristics can shape listener engagement in this rapidly evolving field.
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77 snips
Sep 14, 2023 • 1h 29min

Doing it the Hard Way: Making the AI engine and language 🔥 of the future — with Chris Lattner of Modular

Chris Lattner, a renowned compiler engineer who created LLVM and Swift, discusses the future of AI development. He dives into why AI software is currently lacking and how his team at Modular is tackling fragmented platforms. He delves into Mojo, a new programming language aimed at enhancing performance and user productivity. Lattner emphasizes the importance of collaboration in AI frameworks and the need for effective AI compiler designs. The conversation also touches on the potential for innovative user interfaces in reshaping AI's public perception.
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98 snips
Sep 6, 2023 • 1h 1min

The Point of LangChain — with Harrison Chase of LangChain

Harrison Chase, Founder of LangChain and former sports analytics expert, shares fascinating insights about his journey from sports to machine learning. He discusses LangChain's evolution from a simple prompt templating tool to a comprehensive AI framework that simplifies large language model applications. Harrison also explores the challenges of AI, including managing hallucinations and ensuring observability. The conversation includes exciting news about LangChain Hub and emphasizes the need for effective user experience and collaboration in the fast-paced world of AI development.
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15 snips
Aug 30, 2023 • 1h 12min

RWKV: Reinventing RNNs for the Transformer Era — with Eugene Cheah of UIlicious

In this discussion, Eugene Cheah, CTO of UIlicious and a key contributor to the RWKV project, dives into the revolutionary RWKV model. He explains how it sidesteps traditional Transformers, achieving superior efficiency and context handling. The conversation highlights the significance of community-driven AI resources and how RWKV addresses memory limitations in processing large datasets. Cheah also explores the balance between open-source licensing and the use of coding models in enterprise settings, showcasing the global shift in AI technology.

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