Cohere's Command-R+ Specialized Model for RAG and Tools
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- Опубліковано 31 тра 2024
- Meet Command-R+, Cohere's advanced generative AI tailored for large-scale enterprise use. Specializing in retrieval-augmented generation and tool utilization, Command-R empowers organizations to implement AI-driven solutions that utilize proprietary knowledge and streamline intricate tasks in 10 leading languages. Featuring a broadened 128k token context window and enhanced pricing options, Command-R+ works alongside Cohere's Embed and Rerank models, enhancing both precision and productivity, all while placing a strong emphasis on the protection and confidentiality of data.
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Signup for Advanced RAG:
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LINKS:
Blogpost: tinyurl.com/mr29bwb9
Try it out yourself: coral.cohere.com/?s=t
TIMESTAMPS:
[00:00] What is Cohere's Command R+
[01:40] Performance on RAG, multilingual and Tools
[05:30] Exploring Cohere Coral: A Platform for Experimentation
All Interesting Videos:
Everything LangChain: • LangChain
Everything LLM: • Large Language Models
Everything Midjourney: • MidJourney Tutorials
AI Image Generation: • AI Image Generation Tu... - Наука та технологія
Most of these evaluations just goes to show how powerful GPT-4 is. Even though it was released over a year ago.
thanks a lot - after watching this video I registered in cohere to try command R+
Gave it a test run, there's an issue with web search connector, there's NO way to control/limit the # of search results token usage, at times the context window easily bloats to 40K tokens after 40 second latency, with command+r (not plus version) each API call with web connector ends up costing about 0.08 cents.
Makes this very cost prohibitive, unless they find a way to let the end user limit the RAG context window when using web connector.
this is very useful