🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

1313 in 13th position after launching on 13th mar

I really enjoyed my Machine Learning Street Talk chat with Tim at #NeurIPS2024 about some of the research we've been doing on reasoning, robustness and human feedback. If you have an hour to spare and are interested in some semi-coherent thoughts revolving around AI robustness, it may be worth

My team recently launched a best-in-class LLM specializing in English and Arabic. We just published a tech report explaining our methods. Check it out on arxiv: arxiv.org/abs/2503.14603

I'm excited to the tech report for our @Cohere Cohere For AI Command A and Command R7B models. We highlight our novel approach to model training including the use of self-refinement algorithms and model merging techniques at scale. Command A is an efficient, agent-optimised

Our Command A tech report is online! Go check it out!

Announcing the keynote speakers for #ICLR2025! Speakers will cover topics ranging from foundational advances in language models, AI safety, open-ended learning, and the nature of intelligence itself. blog.iclr.cc/2025/04/11/ann…

Today we are releasing Embed 4 – the new SOTA foundation for agentic enterprise search and retrieval applications! cohere.com/blog/embed-4 Check out the blog for similarly visually satisfying graphs :)

🎉👏

𝐂𝐨𝐡𝐞𝐫𝐞 𝐄𝐦𝐛𝐞𝐝 𝐯𝟒 - 𝐒𝐭𝐚𝐭𝐞-𝐨𝐟-𝐭𝐡𝐞-𝐚𝐫𝐭 𝐭𝐞𝐱𝐭 & 𝐢𝐦𝐚𝐠𝐞 𝐫𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 Today we are releasing Embed v4, unlocking so many cool new features for retrieval. 🇺🇳 100+ languages 🖼️ Text & Image capabilities 📜 128k context length

Attending #ICLR2025 and interested in #LLM, #Alignment, or #SelfImprovement? Then come by and check out our work from cohere: "Self-Improving Robust Preference Optimization" - a new alignment method that unlocks self-refinement in LLMs! 📍 Poster Session 4 — Friday, 3–5:30 PM

Very proud of this work which is being presented ICLR 2026 later today. While I will not be there — Catch up with Viraat Aryabumi and Ahmet Üstün who are both fantastic and can share more about our work at both Cohere Labs and cohere. 🔥✨

Sparse attention is one of the most promising strategies to unlock long-context processing and long generation reasoning in LLMs. We performed the most comprehensive study on training-free sparse attention to date. Here is what we found:

It is critical for scientific integrity that we trust our measure of progress. The lmarena.ai has become the go-to evaluation for AI progress. Our release today demonstrates the difficulty in maintaining fair evaluations on lmarena.ai, despite best intentions.

How do we build multimodal systems that work effectively across the globe? 🌍 Today we release the Aya Vision Technical Report, the detailed recipe behind Aya Vision models, unifying state-of-the-art multilingual capabilities in multimodal and text tasks across 23 languages!

Can LLMs be incentivised to generate token sequences (in this case preambles) that condition downstream models to improve performance when judged by reward models? Yes! ✅

We froze an LLM ❄️, trained a system prompt generator using RL for conditioning it and got pretty cool results! This new work by Lisa Alazraki demonstrates that optimizing the system prompt alone can enhance downstream performance without updating the original model.

Another paper coming out of Lisa Alazraki‘s internship with us at cohere! 🎉 Go check it out! 👀

We’re proud to partner with the governments of Canada and the UK to accelerate adoption of secure AI solutions in the public sector. Today, our CEO and co-founder @AidanGomez met with Prime Minister of Canada and UK Prime Minister to discuss the strategic importance of AI for national

🚨 Wait, adding simple markers 📌during training unlocks outsized gains at inference time?! 🤔 🚨 Thrilled to share our latest work at Cohere Labs: “Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers“ that explores this phenomenon! Details in 🧵 ⤵️

We’re looking for a Research Engineer / Scientist with a focus on Data Analysis and Evaluation to join the post-training team at Cohere! More details and application here: jobs.ashbyhq.com/cohere/6170371… Feel free to reach out if you'd like to know more!