Is RAG Still Needed? Choosing the Best Approach for LLMs
Автор: IBM Technology
Загружено: 2026-03-09
Просмотров: 50312
Описание:
Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdpReK
Learn more about Retrieval Augmented Generation (RAG) here → https://ibm.biz/BdpReG
Are massive context windows replacing RAG? 🤔 Martin Keen breaks down RAG vs. long context in LLM workflows. Explore how vector databases, semantic search, and embedding models impact AI performance to help you choose the right solution for your applications. 🚀
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdpRee
#retrievalaugmentedgeneration #llm #aiworkflow #vectordatabase
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
