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Content + AI

Paco Nathan: Overview of the AI Tech Stack and Business Ecosystem – Episode 2

Nov 1, 2023
Paco Nathan, an AI expert since the 1980s, shares insights on using graphs in AI, structured content benefits, and the tech stack of AI tools. He discusses sequence-to-sequence and diffusion technologies, preferring SSM over LLMs. Nathan also talks about the impact of LLM chat agents on content, the importance of using personal data sets, and detailed task analysis in building AI models. He contrasts AI developments at big companies with the open-source AI ecosystem.
30:17

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Utilizing small, specialized models (SSMs) over large language models (LLMs) is essential for practical AI applications.
  • Open-source AI projects provide a diverse ecosystem beyond major tech companies, emphasizing the importance of curated data sets and domain expertise.

Deep dives

AI Ecosystem Overview

The AI landscape is not solely dominated by large language models and major tech companies like Microsoft and Google. Paco Nathan, with over 40 years of experience in AI, emphasizes the diverse open-source AI projects and technologies beyond chat agents. He highlights the importance of natural language and graph technologies, citing his work at Derwin.ai focusing on using open source tools to power knowledge graph applications for enterprise clients. Nathan also discusses the integration of large language models with techniques like retrieval for accessing knowledge sources.

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