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Tech Disruptors
Cohere’s Path to Differentiation in LLM Race
Jul 18, 2024
Nick Frosst, co-founder of Cohere, discusses the unique approach to model training like retrieval augmented generation, tokenization strategies, and challenges in debugging language models. They explore the significance of large language models with text prompts, focusing on efficient problem-solving in enterprise applications and the debate on model size vs synthetic data for AI development.
36:35
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Quick takeaways
- Cohere prioritizes enterprise solutions over AGI, tailoring models to real-world needs.
- Retrieval-augmented generation boosts model accuracy and credibility by integrating validated external sources.
Deep dives
Focus on Enterprise Solutions with Language Models
The company Cohere uniquely concentrates on addressing enterprise challenges using language models rather than aiming for Artificial General Intelligence (AGI). By tailoring products to meet the practical needs of enterprises, Cohere ensures the effective deployment of language models on real-world enterprise data. Their Command-R model family, particularly Command-R and Command-R Plus, excel in retrieval augmented generations and multilingual support, emphasizing solving real enterprise problems.
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Discover
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