Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0 cover image

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0

Supervise the Process of AI Research — with Jungwon Byun and Andreas Stuhlmüller of Elicit

Apr 11, 2024
56:20
Snipd AI
Jungwon Byun and Andreas Stuhlmüller of Elicit discuss the evolution of AI tools, GPT models, workflow efficiency, Illicit for data extraction, systematic AI research, and company growth. They delve into collaboration, AI advancements, and mission-driven organization transitions.
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Podcast summary created with Snipd AI

Quick takeaways

  • Illiset focuses on model improvements and user queries over latest language models.
  • Monitoring model performance includes hallucination rate and training efficiency.

Deep dives

Development of Illiset's Research Workflow and Evolution Towards an AI Research Assistant

Illiset's journey began with a focus on geopolitical forecasting before adapting to a more general research assistant model. The team's emphasis on a workflow centered around model improvements and advancements rather than solely relying on the latest language models sets them apart. Illiset's approach of understanding user queries and integrating detailed vetted data sets during training reflects a commitment to high-quality AI research tools.

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