Unlocking Innovation: Coh's Command R+ Language Model Breakthrough
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In this riveting video from Connor Shorten, we delve into the world of Coh's groundbreaking Command R+ large language model. This isn't just any ordinary LM, oh no. It's a specialized beast, focusing on retrieval augmented generation like never seen before. Picture this: the ability to pull information from documents or chat with PDFs or vector databases. It's like having a supercharged brain at your fingertips, ready to tackle any task thrown its way. The team is absolutely buzzing about Command R+ and its jaw-dropping features, from the massive 128,000 token input window to its slick multilingual support.
But wait, there's more! They kick things off with a DSP demo showcasing how Command R+ can be seamlessly integrated into applications with DSPi. It's like watching a high-octane race where technology meets innovation head-on. The team also introduces Command R+ as the shiny new addition to the We8 recipes collection, adding a touch of flair to an already impressive lineup. They're practically giddy with excitement about this latest gem in their repository, urging viewers to check it out for themselves.
To get a taste of Command R+ in action, users simply pass in the model name, set the maximum tokens, and voila! They're off to the races, testing out this powerhouse LM in real-world scenarios. The team walks us through a fascinating use case involving software documentation, highlighting the crucial role of retrieval in ensuring accurate answers from large language models. It's like watching a masterful performance on the world stage, with Command R+ taking center stage and stealing the show. And let's not forget about the model's ability to handle long-context retrieval augmented generation, a game-changer in the realm of AI technology.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch Building RAG with Command R+ from Cohere, DSPy, and Weaviate! on Youtube
Viewer Reactions for Building RAG with Command R+ from Cohere, DSPy, and Weaviate!
Idea for a next video: dspy replacing a support agent and bootstrapping/optimizing/compiling based on historical human support threads
Multilingual approach to tokenization
Connecting to local cohere command r model for function calling or tool use using dspy
Request for videos on synthetic data generation using DSPy
Comparison to Cody from Cody's Lab channel
Inquiry on using custom data with Weaviate
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