Nils Reimers @Nils_Reimers
Director of Machine Learning @Cohere | ex-huggingface | Creator of SBERT (https://t.co/MKKOMfuQ4C) nils-reimers.de Joined August 2016-
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Command R+ is underrated for everyday use 👀. The speed & the balance of good reasoning, concise answers, and nice writing style makes it perhaps the best daily assistant 🔥
we open sourced our chat interface. github.com/cohere-ai/cohe…
Binary Quantization with @weaviate_io and @cohere - Binary Quantization BQ and Product Quantization PQ reduce memory usage in vector databases while keeping retrieval accuracy high kaggle.com/code/ajitmistr…
Amazing opportunity IMHK. Some of the brightest IR researchers have joined Cohere over the last year.
Amazing opportunity IMHK. Some of the brightest IR researchers have joined Cohere over the last year.
You have experiences with training state-of-the-art neural search models and want to lead a team of excellent engineers to train the next big thing? Looking for a great manager for one of my core search teams: jobs.lever.co/cohere/0feec90…
Few days ago a plot comparing MMLU scores vs active parameters became quite popular. Active parameters is only relevant if you run the LLM with batch size 1. In production deployment you batch requests, completely changing your conclusions. Below a better graph comparing user…
Few days ago a plot comparing MMLU scores vs active parameters became quite popular. Active parameters is only relevant if you run the LLM with batch size 1. In production deployment you batch requests, completely changing your conclusions. Below a better graph comparing user…
Powered by leading enterprise AI platform @cohere, we're excited to launch our digital workplace experience solution for modern enterprises! atomicwork.com/blog/digital-w…
We've enabled multi-step tooluse with Command R+ in our Chat API! With just one API call, Command R+ can explore the world with your tools, deep diving across application boundaries to answer your prompts. Developers are able to review its reasoning through its planning and…
We've enabled multi-step tooluse with Command R+ in our Chat API! With just one API call, Command R+ can explore the world with your tools, deep diving across application boundaries to answer your prompts. Developers are able to review its reasoning through its planning and…
We're thrilled to announce that @atomicworkhq is collaborating with @cohere to build the future of enterprise service and digital workspace experience. With this partnership, Atom, our AI assistant, is more accurate and intelligent than ever before! x.com/atomicworkhq/s…
We're thrilled to announce that @atomicworkhq is collaborating with @cohere to build the future of enterprise service and digital workspace experience. With this partnership, Atom, our AI assistant, is more accurate and intelligent than ever before! x.com/atomicworkhq/s…
Command R, R+, and Rerank 3 are now all available on AWS Sagemaker! Should be easy to get up and running, but let us know if you need help. Links to the listing below
Command R, R+, and Rerank 3 are now all available on AWS Sagemaker! Should be easy to get up and running, but let us know if you need help. Links to the listing below
Cohere keeps shipping!📦Introducing Compass, our new embedding model! What's inside: > works with multi-aspect data like emails, invoices, support tickets, log messages, tabular data > converts data to JSON to avoid context loss Compass is in private beta, sign up to try it…
Learn about the @hireborderless success story in our upcoming webinar on April 30 at 2pm ET! Discover how RAG technology within Cohere’s Command R and Embed model helped them develop a cutting-edge legal AI assistant for global employment. Register here: info.cohere.ai/building-a-rag…
@kiwicopple @supabase @ollama Would love to see @cohere and @supabase together to get the new embedding models from cohere.. on the edge .. @Nils_Reimers is ahead of the game with int8/binary models (scale!) and also their new multi-aspect models: txt.cohere.com/compass-beta/ Hey why not add cmd-r+ too ;-)
Announcing the private beta of our newest foundation embedding model, Cohere Compass: designed specifically for multi-aspect data like emails, invoices, CVs, and support tickets to offer superior enterprise search capabilities. Sign up to try it out! txt.cohere.com/compass-beta
Excited to share Cohere Compass! An embedding model built to handle your weirdest semi-structured enterprise data. Checkout blog for details and beta signup 👀.
Excited to share Cohere Compass! An embedding model built to handle your weirdest semi-structured enterprise data. Checkout blog for details and beta signup 👀. https://t.co/rRRYEwsb2w
Compass seems very useful because it streamlines the formatting of unstructured multi-aspect inputs like PDFs and JPEGs before dumping them into a vector db. Every week, Cohere is launching a new banger. They've literally created a new developer suite with Command R+, Rerank 3,…
Compass seems very useful because it streamlines the formatting of unstructured multi-aspect inputs like PDFs and JPEGs before dumping them into a vector db. Every week, Cohere is launching a new banger. They've literally created a new developer suite with Command R+, Rerank 3,… https://t.co/JpfMHUyPfs
Cohere announces Compass A new foundation embedding model that allows indexing and searching on multi-aspect data Traditional RAG pipeline would lose the contextual information, but with Compass the metadata and text are stored, along with multi-aspect representations capturing…
Command R+ The Top Open-Weights LLM + RAG and Multilingual Support My highlights on the release of the latest Cohere models and why I'm excited for LLM research. newsletter.ruder.io/p/command-r
When you try Compass, it will be obvious that it's a model carefully trained by a team who care deeply about production search systems. It solves a couple of fundamental semantic search issues which arise at scale. Internally, it's been a joy to build with. Today, we feel ready…
When you try Compass, it will be obvious that it's a model carefully trained by a team who care deeply about production search systems. It solves a couple of fundamental semantic search issues which arise at scale. Internally, it's been a joy to build with. Today, we feel ready…
(((ل()(ل() 'yoav))).. @yoavgo
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nelson auner @nelsonauner
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1K Followers 34 Following serverless vector db built from first principles on object storage: 10x-100x cheaper, usage-based pricing, and massive scalability DM for access
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Daniel Campos @spacemanidol
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Omar Khattab @lateinteraction
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My blog reached for the first time 100,000 monthly visitors.🤯 Thank you! 🤗
Cohere releases toolkit to accelerate generative AI app development in the enterprise venturebeat.com/ai/cohere-rele…
@kapa_ai's "Ask AI" bot is now live on @Docker's docs! 🐳 we can't contain(er) our excitement as avid docker users ourselves! 😅 check it out here: docs.docker.com
So proud that I followed the @CohereForAI journey from the beginning. Thank you @sarahookr for your great efforts 💙
Chohere-Toolkit & Terrarium ✨ 📌 @cohereai nailed the currently most lucrative and requested enterprise use cases - which is secure RAG with private enterprise data, local code interpreter for running untrusted LLM-generated code to do math, ASCII art, etc. 📌 Build and deploy…
It has been such a privilege to get to work with Sara. What she has built out of @CohereForAI is absolutely wild. Thanks for everything Sara :) excited for what this next year brings.
Cohere is nothing without @sarahookr and @CohereForAI 💙
We've aggregated all of the DSPy resources from the Weaviate team on one page! It is broken into two categories: 1. Hands on Learning and 2. Read and Listen 📚 DSPy round-up: weaviate.io/developers/wea… We're also very excited to host our in-person meetup with DSPy, @arizeai, and…
While QLoRA is the go-to for fine-tuning quantized LLMs, the latest release of the Adapters library enables training various alternative QAdapter variants on top of quantized @huggingface models ⬇️
🚀 Our latest Adapters library release integrates quantized model training, enabling efficient fine-tuning of LLMs with Q-LoRA, Q-Bottleneck Adapters, or Q-PrefixTuning. 🎉 Check out this notebook to learn how to fine-tune Llama 3 with Q-LoRA 🦙✨: github.com/Adapter-Hub/ad…
📢 Cohere Toolkit One of the biggest challenge in AI is productionizing, the team at Cohere solves this issue They bring you a collection of prebuilt components enabling users to quickly build and deploy RAG applications. @cohere @aidangomez @sbaji 👏🏻 Link in 🧵
Yesterday, we open sourced the Cohere Toolkit. We think this will be a major accelerant for getting LLMs into production within enterprise. github.com/cohere-ai/cohe…
create-llama is the easiest way to get started with a full-stack RAG application and take it all the way to production, and it just hit version 0.1! There's a ton of updates recently, including: ✅ @ollama support, so you can run llama3 and phi3 ✅ New vector database support…
Use `npx create-llama` to quickly create RAG applications using @llama_index. Now, you can show the sources of the retrieved context (think of @perplexity_ai). Watch the video below to see the feature in action. 📃 Code: github.com/run-llama/crea…
I can attest to it!👌🏽 Building proper UI/UX is the main blocker Thanks for open sourcing it ❤️
@natolambert Our models are great at tool use and rag. And they are cheap and reliable enough to take to production. It turns out that creating a good UI/UX in your environment for using our models this way is a significant blocker to adoption. Open sourcing this interface should help :)
Come work with us for 6 months on synthetic data research! Reach out to amazing @ecats_ if you are interested 🔥
The Cohere Toolkit is here! We’re releasing an open-source repository for devs to build RAG applications, just like the Cohere demo. It's a game-changer for developers to accelerate and simplify building enterprise AI apps like knowledge assistants. cohere.com/blog/cohere-to…
Command R+ is underrated for everyday use 👀. The speed & the balance of good reasoning, concise answers, and nice writing style makes it perhaps the best daily assistant 🔥
I liked this move a lot. I was particularly intrested to see how @cohere implements the citations. It's time to find out. Thank you guys (again).
we open sourced our chat interface. github.com/cohere-ai/cohe…
Build and deploy your own chatbot with citations in <1 minute `docker run -e COHERE_API_KEY=‘$CO_API_KEY’ -p 8000:8000 -p 4000:4000 ghcr.io/cohere-ai/cohe…`. We’re also releasing a fast, easy to use python sandbox called terrarium. We’ll be contributing more features in the next…
Very excited to see what people build with this at BUILD DAY :) info.cohere.ai/cohere-build-d…
we open sourced our chat interface. github.com/cohere-ai/cohe…
Favorite release in April: we open-sourced Coral, our RAG-optimized chat interface! What's inside? 🪸 > multi-turn conversations, citations, document uploads, chat history > supports custom retrieval tools and data sources > integrates with our models on AWS and Azure, soon all…
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