Cohere has introduced Command-R, a 35 billion parameter model optimized for scalability, RAG, and Tool Use. The model is compared to GPT3.5 in terms of price and speed, excelling in retrieval with a 128K context window and support for 10 languages. Command-R is open source for research use, aiming to make generative AI breakthroughs accessible to the community.
We just released a more detailed blog post on Command-R with Tools: https://t.co/V2XQWpcAJ7 https://t.co/jp3jFhJSyp
We’ve launched our Tool Use API alongside the newest model Command-R to help build more advanced RAG solutions for complex reasoning tasks! With Tool Use, developers can automate tasks across multiple systems and connect with external ones. https://t.co/7Qi1mx4gEN
We’ve launched our Tool Use API alongside the newest model Command-R to help build more advanced RAG solutions for complex reasoning tasks! With Tool Use, developers can automate tasks across multiple systems and connect with external ones.
Our new blog by David Myriel explains how @LangChainAI simplifies the development of RAG-based applications. Leverage pre-trained models and support complex pipelines with a few lines of code. 🦜 https://t.co/D5tUCg2vgr
🤖 From this week's issue: Cohere announced the release of a new language model called Command-R, which is designed for Retrieval Augmented Generation at scale. https://t.co/3bhaomgFvV
Announcing Cohere models, daily analytics, and speedups! Introducing @Cohere models - Cohere just launched Command-R, a new multi-purpose conversational model with long context (128k tokens) - It comes in at 2 million prompt tokens per $ https://t.co/lEwlJHzNdL
RAG at Production Scale with Cohere's New AI Model Cohere just rolled out Command-R, a generative model optimized for long context tasks such as RAG and using external APIs and tools. It targets the sweet spot between efficiency and accuracy for smoother transitions from… https://t.co/7O9h7M7VZP
Cohere AI Unleashes Command-R: The Ultimate 35 Billion-Parameter Revolution in AI Language Processing, Setting New Standards for Multilingual Generation and Reasoning Capabilities! Quick read: https://t.co/oDNy1ZYjHy Project: https://t.co/tK50dY1Uy5 #ArtificialIntelligence… https://t.co/BVgHjSiemH
The recent command-R model from Cohere directly addresses several issues that many people face when trying to take a proof-of-concept LLM app and deploy it into production… TL;DR: Cohere recently released an open-source (for research purposes) LLM, called Command-R, that is… https://t.co/ILOty4lFtc
Welcome @CohereForAI Command-R! The top trending among over 500k open-access models! 🚀 https://t.co/F4ee7TAulJ https://t.co/vVUqxWxSwW
Command-R by Cohere is OUT NOW! Download it at your favorite model store 🎉 It’s been quite a ride to get to this point and I’m incredibly proud of what we have achieved with RAG, tool use, and all of Cohere. I want to highlight one particular unique aspect of ⌘-R: citations! https://t.co/wXsBc4I43x
Daily AI News in 60 Seconds 1/8 Cohere launches Command-R AI model for enterprises Cohere's Command-R is a powerful AI model for enterprises, excelling at information retrieval, using external tools, and processing longer information. https://t.co/sak5QHvb13
playing around with Command-R today -- actually insanely impressive. good tool use, low hallucination, great retrieval *this* is the language model enterprise customers actually need well done @cohere 🥳
This week, we launched Command-R, which crowns @cohere's stack of RAG-optimized language models. Join me in any of these upcoming dates as I break down this advanced-RAG, multilingual stack: March 12, 3PM: #SXSW2024, Austin, Texas. Hacks / Hackers (Sign up:… https://t.co/XBtH7lcikq
to celebrate ⌘-r release, here is Perplexity in a single tweet of code. !pip install cohere import cohere co = cohere.Client("API_KEY") https://t.co/tji6OFZt0A(message="what is Retrieval Augmented Generation?", model="command-r", connectors=[{"id":"web-search"}], ) https://t.co/FB45Fibm65
We’re excited to see @cohere launching Command-R today! Enterprises can test and evaluate Cohere’s models on Scale GenAI Platform, incorporate these models into their RAG pipelines, and use these models to build custom GenAI apps built on their own data 💪 https://t.co/5Znm1q3t6F
Cohere releases powerful 'Command-R' language model for enterprise use https://t.co/ZlRBgIWJLR
Cohere's command-r is solid. The model launched today and is optimized for RAG. I ran it through my financial RAG evaluation pipeline vs. gpt-3.5 turbo. command-r won. Financial RAG Eval Setup: • naive RAG (no reranking, etc.) • 100 questions on Airbnb's 2023 10-K •… https://t.co/xJeaC2cjJb
A particularly satisfying figure from @cohere's Command-R release 😉 https://t.co/IgwWsPEAan https://t.co/koYGSlws98
Cohere presents Command-R Command-R is a research release of a 35 billion parameter highly performant generative model. Command-R is a large language model with open weights optimized for a variety of use cases including reasoning, summarization, and question answering.… https://t.co/Q8SuBHX3Np
Wow! @CohereForAI just released CMD-R 🔥 > Beats GPT 3.5 > 128K context window. > 35 billion parameters. > 10 languages. > Optimised for reasoning, question answering and summarisation. > Use it directly in transformers 🤗 https://t.co/Oztz6OxJl4
Start the process of building your own RAG LLM Application with Thierry and Pedro in the video below! https://t.co/3IF86jHLOo
Start the process of building your own RAG LLM Application with Thierry Moreau and Pedro Torruella in the video below! 👉 https://t.co/3IF86jHLOo
And here's @cohere weights for the CMD+R model on @huggingface 👮Non commercially licensed 🤏35B that beats GPT3.5 on speed/accuracy 📖128K tokens in context 🌐10 languages support (trained on 23) 🧰Tool use capabilities baked in 📚Grounding in provided context Great f/ RAG https://t.co/HXrfFPCYNi
Combine long context (128K) with a high RAG performance and open source even the weights; this is what Cohere is doing 👏 https://t.co/QD7j3s9d6X
🚀 Very excited to share that Command-R is out! 🚀 Command-R is multilingual, capable of handling long contexts, and powered by RAG and Tool Use! You can try it out at https://t.co/0oCwZWINMa or simply download the weights and run it yourself 🤩! https://t.co/qnW2BgCijl https://t.co/3fiSY28wkD
We are excited to launch C4AI Command-R, a 35 billion parameter model weights release designed to make generative AI breakthroughs accessible to the research community. 🎉 https://t.co/2roAFUmHYJ https://t.co/KiY9hHtQP5
Today, we’re excited to release Command-R, a new RAG-optimized LLM aimed at large-scale production workloads. Command-R fits into the emerging “scalable” category of models that balance high efficiency with strong accuracy, enabling companies to move beyond proof of concept, and… https://t.co/Td2QC2g7rE
Incredibly proud of our world class team driving continuous improvements @cohere and delivering a best-in-class RAG-powered, long-context-capable, multilingual LLM available to the research and dev communities. Try it out at https://t.co/eA2eXNB3Dg & https://t.co/fA58258nuz🚀 https://t.co/f6JuKeS0CR
Interesting approach🤔 Cohere announced Command-R and compares it to GPT3.5 (price and speed wise) 🔥 Specialize in Retrieval (specifically when paired with embed+rerank) ✨ 128K context window with very high accuracy 🌐 speaks 10 languages ⚖️ Open Weights for research https://t.co/8xuFq0uoFA
Craziest Day Ever! @cohere released a super high Performance Retrieval Augmented Generation (RAG) model with 128k context window that smokes existing open source models! 🤯🤯 https://t.co/nrr5HrCqOq
🚨🚨🚨BREAKING!!🚨🚨🚨 @cohere INTRODUCES COMMAND-R "⌘-R" - Strong accuracy on RAG and Tool Use - Low latency, and high throughput - Longer 128k context and lower pricing - Strong capabilities across 10 key languages - Model weights available on HuggingFace for research and… https://t.co/04FmUytXfE
⌘-R Introducing Command-R, a model focused on scalability, RAG, and Tool Use. We've also released the weights for research use, we hope they're useful to the community! https://t.co/0Q4Uj6zFjd