The Sandra Kublik Podcast
Training Retrieval Augmented Generation With Ola Piktus
Apr 9, 2024
Join Ola Piktus, a research expert at Cohere, as she discusses retrieval-augmented generation (RAG) in AI models. Dive into topics like model hallucination, RAG applications in real-world scenarios, and the balance between creativity and accuracy. Explore Ola's career journey from software engineering to cutting-edge AI research in a captivating conversation.
01:20:47
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Quick takeaways
- RAG enhances language models by integrating external sources for accuracy and reliability.
- The evolution of retrieval methods in language models highlights future advancements and responsibilities of organizations.
Deep dives
Retrieval-Augmented Generation Enhancing Language Models with External Information
Retrieval augmented generation integrates large language models with external sources, aiming to improve accuracy and reliability. Cohere's Command R and Command R Plus models optimize advanced RAG use cases by offering citations, multi-step tool use for task automation, and multi-lingual task excellence, available on various cloud platforms. For instance, Command R Plus efficiently retrieves information like top-performing movies in 2022, visually presents the data with citations, showcasing the power of multi-step tool use in RAG.
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