Machine Learning Street Talk (MLST) cover image

Machine Learning Street Talk (MLST)

Cohere co-founder Nick Frosst on building LLM apps for business

Jun 16, 2024
41:25
Snipd AI
Nick Frosst, Co-founder of Cohere, discusses the future of LLMs and AGI, solving real business problems with AI models. He talks about Cohere's Command R* models, challenges with large language models, specialized vs. general-purpose models, retrieval augmented generation, and the evolving benchmarks in language model development.
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Podcast summary created with Snipd AI

Quick takeaways

  • Cohere prioritizes practical business solutions over AGI ambitions.
  • Cohere's Command R models enhance language models with retrieved external knowledge for improved performance.

Deep dives

Cohere's Focus on Real-World Solutions

Cohere distances itself from AGI ambitions, prioritizing practical technology applications to solve real-world problems. The release of Command R models by Cohere, particularly beneficial for retrieval augmented generation, aims to enhance language models with external knowledge retrieved from databases. This approach helps in knowledge-intensive tasks where external information augments the model's performance.

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