
ML for Search @Cohere | Open source @AdapterHub | prev. @TUDarmstadt @UKPLab @clifapt.bsky.social
Germany
Joined June 2020
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We’re also introducing a brand-new feature: Context Focus.
Your LLM often needs a few sentences, not the whole document. Context Focus lets you return precise passages with accompanying relevance scores, reducing token consumption by up to 41% while maintaining accuracy.
Context Focus is opt-in and works like a dial: you control how much context and quality you want.
Clifton Poth retweeted
Super proud to announce our latest embedding models, great work alongside the team @samarthbhargav @floschne_cohere @fdschmidt @clifapt . Once more looking forward to what can be build it with better embeddings
🚀 Sovereign AI for the world.
Cohere & Aleph Alpha form transatlantic AI powerhouse anchored in Canada & Germany! Combining our global scale with European R&D excellence to build sovereign, enterprise-grade AI. Security, privacy & trust for businesses & governments worldwide. #SovereignAI #AIPartnership
Learn more: businesswire.com/news/home/2…
Image from left to right: Rolf Schumann, Schwarz Digits, Samuel Weinbach, Aleph Alpha, Aidan Gomez, Cohere, Minister Solomon, Canada, Minister Wildberger, Germany
Clifton Poth retweeted
LLM agents are assumed to integrate unexpected environmental observations into their reasoning. It turns out they don't.
We added the complete task solution into agent environments as a file or an API endpoint, and measured whether agents act on what they discover. They almost never do.
Starkest example: on AppWorld, gpt-oss-120b sees a CLI command documented as "returns the complete solution to this task" in 97.54% of runs. It calls it in 0.53%. Same pattern for GLM-4.7 and other models, across Terminal-Bench, SWE-Bench, and AppWorld.
📜 arxiv.org/abs/2604.17609
🧵👇
Clifton Poth retweeted
Introducing Cohere Rerank 4.0 in Microsoft Foundry — a major upgrade to how enterprises search, ground, and reason with their data.
Clifton Poth retweeted
when i say i am excited about boring AI this is what i mean.
Rerankers wont make you believe the end of the world is coming, but god damn are they useful.
Cohere just released the best reranker in the world. again.
Replying to @cohere
It’s available in two versions to meet your company’s specific search needs: Fast and Pro.
Clifton Poth retweeted
Introducing our latest breakthrough in AI search and retrieval: Rerank 4!
It’s the most advanced set of reranking models on the market, with best-in-class performance across search relevance, speed, deployment flexibility, multilingual support, and domain-specific understanding.
Clifton Poth retweeted
🚀Adapters v1.2 is out!🚀
We've made Adapters incredibly flexible: Add adapter support to ANY Transformer architecture with minimal code!
We used this to add 8 new models out-of-the-box, incl. ModernBERT, Gemma3 & Qwen3!
Explore this +2 new adapter methods in this thread👇(1/5)
Clifton Poth retweeted
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
Clifton Poth retweeted
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 :)
Clifton Poth retweeted
We’re excited to introduce our newest state-of-the-art model: Command A!
Command A provides enterprises maximum performance across agentic tasks with minimal compute requirements.
Clifton Poth retweeted
🎁 A new update of the Adapters library is out!
Check out all the novelties, changes & fixes here:
github.com/adapter-hub/adapt…
Clifton Poth retweeted
Your search can see now.
We're excited to release fully multimodal embeddings for folks to start building with!
Clifton Poth retweeted
Replying to @UKPLab @emnlpmeeting @IGurevych @TUDarmstadt @ProLOEWE @ATHENECenter @emergen_CITY @FraunhoferSIT @Hessian_AI @jtonglet @Furkansahinuc @thy2512 @yufanghou @IBMResearch @AmazonScience @Koby_Loby @XiaoL558286 @ndaheim_ @dmacjam @mrinmayasachan @trumancfy @xinranz3 @soshsihao @hongming110 @koeppl_lab @CarnegieMellon @uwcse @AndreasWaldis @anne_lauscher @hslu @summetix @HaritzPuerto @mtutek @somakaditya @XiaodanZhu2048 @IITKgp @IngenuityLabs @QueensECE @QianRuan_ @ilokuznetsov
One more paper is accepted to the Findings of #EMNLP2024:
»M2QA: Multi-domain Multilingual Question Answering«
by
@LeonEnglaender, @h_sterz, @clifapt, @PfeiffJo, @ilokuznetsov, @IGurevych
📰arxiv.org/abs/2407.01091
💻github.com/UKPLab/m2qa
(11/🧵)#EMNLP2024
Clifton Poth retweeted
𝐂𝐨𝐡𝐞𝐫𝐞 𝐑𝐞𝐫𝐚𝐧𝐤 𝐕𝟑 𝐨𝐧 𝐀𝐳𝐮𝐫𝐞 AI - 𝐒𝐮𝐩𝐞𝐫𝐜𝐡𝐚𝐫𝐠𝐞 𝐲𝐨𝐮𝐫 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥
Happy to announce that the most powerful model for retrieval, Rerank V3 by @cohere , is available on Azure AI.
It excels on extremely complex queries.
Clifton Poth retweeted
a single line of code to improve any RAG workflow.
Clifton Poth retweeted
🚀𝐇𝐢𝐠𝐡𝐞𝐫 𝐓𝐡𝐫𝐨𝐮𝐠𝐡𝐩𝐮𝐭 - 𝐂𝐨𝐡𝐞𝐫𝐞 𝐑𝐞𝐫𝐚𝐧𝐤 𝟑 𝐍𝐢𝐦𝐛𝐥𝐞
Cohere Rerank is the perfect model to improve your Search Relevancy with just 1 line of code.
But serving high enterprise workloads with hundred thousands of queries per hour was still expensive.























