Tool generations by Command models just got better! We’ve updated our Structured Outputs so that our models now strictly adhere to your tool descriptions, ensuring all required parameters are included with accurate data types.
It’s finally Friday.
Time for another LLM cost vs. performance showdown.
The result from today’s tests indicate an emergence of 3 distinct LLM tiers:
• throughput tier
• workhorse tier
• intelligence tier
Throughput tier: Unreal tokens / sec. Only groq mistral 8x7b at the…
Azure will be the first cloud to offer Cohere's latest LLM, as we build on our commitment to offer customers the broadest selection of state of the art and open source models.
Azure will be the first cloud to offer Cohere's latest LLM, as we build on our commitment to offer customers the broadest selection of state of the art and open source models.
⌘R+
Welcoming Command R+, our latest model focused on scalability, RAG, and Tool Use. Like last time, we're releasing the weights for research use, we hope they're useful to everyone! txt.cohere.com/command-r-plus…
Financial RAG Evaluation🕵️
Haiku got lots of excitement yesterday.
I ran it through my financial RAG eval pipeline today.
Haiku was fast, but struggled on correctness versus similar models.
Cmd-r remained financial RAG champ.
Main takeaways:
• haiku faster than gpt-3.5
•…
Join us tomorrow (Wed) at 12pm PT to discuss the recent statement from @CohereAI @OpenAI@AI21Labs on best practices for deploying LLMs with @aidangomezzz@Miles_Brundage@Udi73613335. Please reply to this Tweet with questions!
Google AI blog post on our recent work published in NeurIPS'20 on applying deep reinforcement learning to optimize tensor computation graphs. Many more exciting things in the pipeline!
ai.googleblog.com/2020/12/end-to…#googleai#mlforsystems
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