Cohere intends to acquire Perplexity immediately after their acquisitions of TikTok and Google Chrome.
We will continue to monitor the progress of those deals closely so we can submit our term sheet upon completion.
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The most beautiful, intelligent, and kind woman I’ve ever known agreed to marry me.
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Big news today: we’ve raised $500M to grow @cohere, and have added some incredible new leaders to our team!
We’re fortunate to build Cohere to be the world’s best choice for enterprises alongside some of the best investors, partners, and customers in the business.
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⌘-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!
txt.cohere.com/command-r/
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it's pretty extraordinary that we have a literal doomsday cult steering the narrative on tech regulation. Not a figurative doomsday cult, a literal "omnipotent entity is coming, it will annihilate us all" doomsday cult.
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The only MIT relevant to our generation of artificial intelligence is Manipal Institute of Technology.
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⌘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-plu…
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Every Canadian computer scientist should be working for Cohere, Shopify, the CSE, or starting a company for the home that raised them.
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Today @cohere is very excited to introduce Command A, our new model succeeding Command R+. Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding usecases. 🧵
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This whole platform has just devolved into culture/race war vitriol. It’s not fun or interesting here anymore. Turns out you actually do want a non-zero amount of moderation and censorship or the loudest and dumbest crowd everyone else out.
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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/cohere-…
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We will be withdrawing our Waterloo interns from the bay in response to the unjustified unnecessary illegal tariffs
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Introducing Rerank 3! Our latest model focused on powering much more complex and accurate search.
It's the fastest, cheapest, and highest performance reranker that exists. We're really excited to see how this model influences RAG applications and search stacks.
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Cohere is making it dramatically easier to build applications using RAG. We've released code that makes connecting LLMs to your private sources of knowledge seamless.
Here's how to give your model access to 100 sources like Google Drive, Slack, GitHub, Pinecone, and more. 🧵
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So excited to finally come out of stealth and announce @CohereAI 🥰 We've spent the past year building extremely high quality language models and today we're opening them up to the world! (cohere.ai)
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Command RおよびR+の主要言語として日本語をサポートできることを嬉しく思います。日本語の機能を今後も向上させていくことを最優先事項とします。
Japanese
Japanese MT-Bench:
📃 arxiv.org/abs/2306.05685
🧑💻 github.com/Stability-AI/Fast…
Japanese MT-Bench consists of 60 open-ended questions. We use GPT-4-as-a-judge (with English MT-Bench instructions, amended with a criterion that the model should generate text in Japanese) for evaluation, rating generations on a scale of 0–10 (which biases this eval towards GPT-4-Turbo). Due to the small sample size, there is some variance in results.
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I’m excited to share @Cohere’s newest model, Embed 4!
Embed 4 is the optimal search engine for secure enterprise AI assistants and agents.
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I’m very excited to welcome @mira__joyce to @_EricHu’s team at Cohere. Mira’s work speaks for itself, she’s consistently managed to tap into nascent cultural undercurrents and translate them into art that reaches millions. Welcome, Mira!
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It was so great to see almost everyone (we missed you @nikiparmar09!!) from the Transformer paper again. We still haven't all been in the same room at the same time, but we'll make it happen one day.
@lukaszkaiser @kyosu @ashVaswani @ilblackdragon @YesThisIsLion
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I don't think people have fully internalized just how broken public evaluation of models is.
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Today, Cohere turns five years old. Half a decade.
It's been a long journey, we're very far from where we started in that bar above Dundas.
Every day I'm grateful for @nickfrosst and @1vnzh. They're my best friends and incredible business partners.
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Very excited to join @Rivian’s board. Rivian already delivers the best driver experience in existence, and it’s about to get even better with AI.
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Very proud to announce Cohere’s partnerships with Canada and Britain! Thank you Prime Ministers Carney and Starmer for your vision and leadership.
🇨🇦 ❤️ 🇬🇧
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 @CanadianPM and @10DowningStreet to discuss the strategic importance of AI for national sovereignty and global economic growth. It can significantly boost productivity and efficiency to enhance government services.
This marks another major step in expanding our global presence and transforming operations for regulated industries and governments around the world.
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Your search can see now.
We're excited to release fully multimodal embeddings for folks to start building with!
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Tragic to see a doomerist takeover of a great company. Don’t fraternise with cults.
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I’m so excited to share something we’ve been working on for awhile: North is @cohere’s AI workspace for enterprises. Today we’re releasing the platform for early access!
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We've been investing heavily in lobbying. This first $70B dollars is just the beginning.
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Oh wow, Canada is playing to win the AI game again. pm.gc.ca/en/news/news-releas…
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Excited to announce the Compass Beta, a very powerful multi-aspect data search system powered by a new embedding model, Compass.
We're looking for help stress-testing the model's capabilities and finding where it breaks. Sign up here: txt.cohere.com/compass-beta/
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Don’t sleep on @CohereAI
venturebeat.com/ai/openai-ri…
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Cohere is hiring Machine Learning Members of Technical Staff cohere.com/careers
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Noam is one of the most brilliant people I’ve worked with. Google is lucky to have him back, massive congrats to them. Hopefully the whole Character team got a good outcome here.
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Another pro-tip for doing really well on evals: just train on the test set. Literally just do it, you have the examples right there.
Ie. here's [redacted] on HumanEval.
If you rely on GPT-4-based evals like MT-Bench, JSYK this is the exact same model with "Don't be chatty" versus "Be chatty" appended to the preamble...
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Excited to announce a new round of funding for Cohere. Looking forward to putting this money to work building new models and helping enterprises adopt them.
We’re excited to announce our Series D financing to accelerate growth, expand our team, & develop our next class of frontier, enterprise-grade, data privacy-focused AI technology.
We’re bringing highly scalable and secure AI solutions to global enterprises wherever their data is and in whatever language they speak.
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Targeted Dropout is a super simple and easy to implement technique to make your NN more robust to weight pruning. Blog: for.ai/blog/targeted-dropout…
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so to be clear you’re cheering on the downfall of Twitter because you don’t like electric car space billionaire and are cheering on generation of mental illness billionaire
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Come work on Meta’s key innovations with us at @cohere!
it looks like meta's new model's "Key innovaton" : "interleaved no-RoPE attention" for infintie context, is actually the same thing cohere command-a model introduced few days ago! They were literally 5 days apart!
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Stay Canadamaxxing 🍁
Cohere is excited to announce our new office in Montreal, QC!
We look forward to contributing to the local AI landscape, collaborating with new and existing partners in the city, and growing our Montreal-based team.
cohere.com/blog/montreal-off…
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Very grateful for @geoffreyhinton. A real hero for our field and for Canada.
Congrats to @geoffreyhinton :) I could not think of a more deserving scientist
His passion for discovery and invention will always be an inspiration. But his kindness, playfulness, and mentorship have benefited me most.
Thanks for everything Geoff! Congrats!
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I'm hiring for ML Engineers/Scientists interested in augmenting LLMs with Tool Use.
Apply here: bit.ly/3fWN7r0
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Congrats to @sarahookr and the whole @CohereForAI community for winning Best Paper at ACL!!!
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We believe AI should eliminate the mundane, not compromise your data.
That’s why we built North — an agentic AI platform designed for real work, real teams, and extreme security.
Here's what makes it different..
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Today @CohereForAI and @cohere are releasing two new multilingual models spanning 23 popular languages. Across a range of use-cases, these models represent a new state-of-the-art.
We're also releasing the weights (8B & 32B) on @huggingface
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Was lovely to meet and speak with @RishiSunak at @10DowningStreet last evening. We discussed the UK's growing AI ecosystem and @CohereAI's British roots.
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Cohere takes secure deployments seriously. Here are some photos of Ivan installing North for one of our enterprise customers.
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Cohere is hiring loss function observers
Do you:
- listen to 𝖉𝖊𝖆𝖙𝖍 𝖌𝖗𝖎𝖕𝖘
- 𝕤𝕦𝕡𝕖𝕣𝕔𝕠𝕞𝕡𝕦𝕥𝕖 enjoyer
- model capability 𝑜𝒷𝓈𝑒𝓈𝓈𝑒𝒹
- data 𝓁𝑜𝓋𝑒𝓇
- want to live and work in Toronto/London/SF
Then please apply below:
jobs.lever.co/cohere/f36be9d…
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If you rely on GPT-4-based evals like MT-Bench, JSYK this is the exact same model with "Don't be chatty" versus "Be chatty" appended to the preamble...
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The fact that LLMs lack a constrained inner monologue feels like a fairly catastrophic weakness that needs to be changed. They're certainly given time to think between tokens, but that thinking is fixed compute, brief, and left totally undiscretised.
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I’m surprised we’re not RAG by default yet.
Think of all the parameters our models will get back for reasoning when LLMs aren’t forced to remember everything that has ever happened.
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The pitch to MLEs has changed from “we’ll give you an insane amount of compute” to “we’ll give you an insane number of data annotators”
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Cohere is hiring for folks interested in building omnimodal models fusing vision, audio, and text.
Come join @TheOneKloud’s team and work across both pre and post-training to teach Command models to see and hear and reason about those domains.
Link in the next tweet
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Do you:
- listen to 𝖉𝖊𝖆𝖙𝖍 𝖌𝖗𝖎𝖕𝖘
- 𝕤𝕦𝕡𝕖𝕣𝕔𝕠𝕞𝕡𝕦𝕥𝕖 enjoyer
- model capability 𝑜𝒷𝓈𝑒𝓈𝓈𝑒𝒹
- data 𝓁𝑜𝓋𝑒𝓇
- want to live and work in Toronto/London/SF
Then please apply below:
jobs.lever.co/cohere/f36be9d…
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One day, if we put our heads down and work very hard, Cohere may become “known”.
businessinsider.com/oracle-c…
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Proud to announce another round of funding focused on bringing together a global group of institutional and strategic investors.
I am unbelievably lucky to get to build Cohere with such an incredible team, and in particular, I’m so lucky to have these two.
Today, we’re excited to announce new funding to help us bring generative AI to enterprises around the globe.
AI will be the heart that powers the next decade of business success, and Cohere is ready to lead the way.
txt.cohere.com/announcement/
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Cohere raised some money. So excited to continue building an amazing platform alongside an amazing team.
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We're excited to start putting Coral in the hands of users!
Coral is "retrieval-first" in the sense it will reference and cite its sources when generating an answer.
Coral can pull from an ecosystem of knowledge sources including Google Workspace, Office365, ElasticSearch, and many more to come.
Coral can be deployed completely privately within your VPC, on any major cloud provider.
Today, we introduce Coral: a knowledge assistant for enterprises looking to improve the productivity of their most strategic teams. Users can converse with Coral to help them complete their business tasks.
cohere.com/coral?utm_source=…
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we've constructed a digital environment where we will train AGI (for enterprise)
Coblox by @rayhascode @joannemagbits
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Very excited to partner with McKinsey to bring Generative AI to enterprise.
Deploy Cohere's Command models using your data, within your secure environment, on any cloud.
We're excited to announce our new strategic collaboration with @cohere, the leading developer of enterprise #AI platforms and state-of-the-art large language models. Discover more➡ mck.co/3NPFSyA
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Great article by @_RobToews on some of the major applications of NLP powering our interaction with technology.
forbes.com/sites/robtoews/20…
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We're throwing 4 hackathons at each of our offices around the world!! If you're in NYC, London, Toronto, or SF come hang out with us and build with Command R and R+ 🛠️
Get ready for Cohere Build Day 🌐
Join our exclusive developer workshop in 4 cities! Dive into our new Command R & R+ models and learn from Cohere experts to develop enterprise-grade AI solutions.
Submit your interest to attend now:
info.cohere.ai/cohere-build-…
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Incredibly proud to see Canada’s Budget 2025 prioritise AI as a key pillar of the country’s economic future.
Cohere will continue championing Canadian leadership in the next generation of AI technology.
Budget 2025 invests in Canada’s next frontier — from AI to quantum to the people driving it forward.
We have the brains. We have the will.
We’re building Canada Strong.
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guy living in SF who has lived in 2 places before (small town he was born in, then in a forested suburb for uni): We are so back baby
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Validation loss starts trending upwards but validation accuracy keeps going up. What is this?
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you've finished model merging and get to appreciate the result
Today @CohereForAI and @cohere are releasing two new multilingual models spanning 23 popular languages. Across a range of use-cases, these models represent a new state-of-the-art.
We're also releasing the weights (8B & 32B) on @huggingface
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Super fascinating to see Microsoft quite transparently and boldly pursue anti-competitive activity.
Charging 28-200x as much to use a service if you have LLMs in the loop. Obviously doesn't hurt Google which has it's own index, only startups.
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This is my favourite table
Our Cohere Embed model now natively supports int8 and binary embeddings! Today, we’ve released compressed embeddings and an updated Embed Jobs feature for error-free, efficient large dataset processing to support powerful enterprise search.
txt.cohere.com/embed-compres…
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Very excited to announce Embed v3! SOTA embeddings on very difficult embedding and retrieval tasks. Embed 1 billion tokens for $100, deploy to prod on every cloud, and completely privately. txt.cohere.com/introducing-e…
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我们在增强 Command 处理中文的能力方面进行了大量投资。我很期待看到华语社群将利用它创造什么。请多多提供反馈，以便我们能够改进。
Chinese
CMMLU:
🧑💻 github.com/haonan-li/CMMLU
CMMLU consists of multiple-choice questions sourced from Chinese textbooks. It has been used to evaluate Chinese LLMs including Qwen-72B, Yi-Chat, etc. We evaluate in the zero-shot setting for simplicity.
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I’m extremely excited to partner with Fujitsu to bring Cohere to Japan. 🇯🇵
Japan is one of the most technologically ambitious and advanced economies in the world and we’re excited to put Command to work there.
We’re excited to announce a strategic partnership with @Fujitsu_Global to deliver highly secure AI solutions with industry-leading Japanese language capabilities to accelerate adoption for global enterprises!
cohere.com/blog/fujitsu-part…
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AI is only as useful as the data it can access, and the systems it can control.
If it can’t see the data that answers your question, or can’t control the systems needed to automate, then value is left on the table.
@cohere builds with security and privacy front of mind.
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