Automating Data Processing
The discussion delves into the complexities of data scoring and the importance of context in generating effective vectors. While there is optimism about future automation in data processing, the need for fine-tuning remains a crucial aspect of achieving desirable results in generative AI systems. The conversation highlights the evolving nature of conversational AI, emphasizing that it now encompasses much more than just chat interactions.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Are Vector DBs the Future Data Platform for AI? with Ed Anuff - 664
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 Cohere co-founder Nick Frosst on building LLM apps for business and the clip Model Evaluation Insights?