Philosophical AI Debates
The discussion dives into the implications of advanced AI technologies, weighing their potential benefits against philosophical concerns. Recent advancements in multilingual retrieval and augmented generation are highlighted, with a particular emphasis on the importance of addressing hallucinations in language models. The conversation stresses the need for practical applications that solve real-world problems while remaining grounded in reality.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Cohere co-founder Nick Frosst on building LLM apps for business
Related Questions
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business and the clip Model Evaluation Insights?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data, as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business and the clip Model Evaluation Insights?
Do I get it right that a Retrieval Augmented Generation (RAG) system can retrieve data in addition to its training data, as discussed in the episode with Cohere co-founder Nick Frosst on building LLM apps for business?