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Check out our new course RAG in Production in collaboration with @weights_biases and @weaviate_io. Learn how to elevate your retrieval-augmented generation skills with practical tips on performance, evaluation, and optimization. Enroll today: https://t.co/D7zfzhwi86
Our new RAG++ course is now live. Built in collaboration with @cohere and @Weaviate_io, it's designed for engineers to create production-ready RAG systems. With hands-on exercises, you'll learn evaluation strategies, retrieval techniques, and more. Register here:… https://t.co/HxTBaWG4R9
This free course has everything you need to know to bring your RAG prototype to production. It covers: 1. Evaluating RAG pipelines: First, this course starts off by explaining how to evaluate a RAG pipelines and run experiments with @weights_biases‘s Weave. 2. Building a… https://t.co/nFJEwSdDAt
Weights & Biases, in collaboration with Cohere and Weaviate, has launched a new, free course titled RAG++ aimed at engineers looking to build production-ready retrieval-augmented generation (RAG) systems. The course covers a wide range of topics including evaluation strategies, data preprocessing, and advanced retrieval techniques. It offers hands-on exercises to help participants learn practical skills such as performance optimization and evaluation of RAG pipelines. The course is designed to enhance the capabilities of Language Learning Models (LLMs) by incorporating real-time, external knowledge for smarter, more context-aware decisions. An exclusive session with the Deep Learning Institute is also part of the offering.
