Cohere
“Command R+ (⌘ R+) is our most capable model (with open weights!) yet! I’m particularly excited about its multilingual capabilities. It should do pretty well in 10 languages (English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Arabic, and Chinese). You can…” / X – https://twitter.com/seb_ruder/status/1775882934542533021
“In a lot of other models, Arabic/اللغة العربية (and other non-English languages) are more expensive to use because the tokenizer basically punishes other languages by requiring a lot more tokens to represent their text. Command R+ improves the tokenization, requiring less tokens…” / X – https://twitter.com/JayAlammar/status/1775928159784915229
“New open model by Cohere is here! C4AI Command R+ 🔥 128K context length 104b parameters Multilingual Conversational Tool support and RAG capabilities Model https://twitter.com/osanseviero/status/1775882744792273209
“👂 @cohere Integration Package 🦜 Hot off the heels of Cohere’s v5 sdk supporting tool calling and their new Command R+ model, we’re excited to announce the `langchain-cohere` package, which exposes all of their integrations ranging from their chat models to model-specific… https://twitter.com/LangChainAI/status/1775889394916049230
“As RAG gets more complicated, it starts to look more agentic 🤖 @cohere released a new open weights (!!) model that is a perfect fit for this @RLanceMartin made a killer video on it – check it out below thanks to @aidangomez and everyone at cohere for this!!” / X – https://twitter.com/hwchase17/status/1775922998853414961
“LLM Developers loved Command R, some called it the RAG King, well, hang on till you meet Command R+. Out now! Open weights. Much, much more capable: – Multi-hop RAG: It takes RAG capabilities to a whole new level, when dealing with complex questions, it’s able to search for…” / X – https://twitter.com/JayAlammar/status/1775881793796726808
“Today, we’re introducing Command R+: a state-of-the-art RAG-optimized LLM designed to tackle enterprise-grade workloads and speak the languages of global business. Our R-series model family is now available on Microsoft Azure, and coming soon to additional cloud providers. https://twitter.com/cohere/status/1775878850699808928
Introducing Command R+: A Scalable LLM Built for Business – https://cohere.com/blog/command-r-plus-microsoft-azure
“Breaking: Canadian pension fund PSP Investments is set to co-lead @cohere’s funding round at a valuation of ~$5Bn. The model developer’s ARR is at $22MM this month, up from $13MM at the end of last year. https://twitter.com/steph_palazzolo/status/1773095998555898305
Databricks
“DBRX is the top open-source model on the latest WildBench Leaderboard on HuggingFace! Thanks to our friends @allen_ai for this benchmark of LLMs with challenging tasks from real users in the wild. #DBRX https://twitter.com/DbrxMosaicAI/status/1774916729149513956
Mistral
“Announcing Dolphin-2.8-mistral-7b-v0.2 Trained on @MistralAI’s new v0.2 base model with 32k context. Sponsored by @CrusoeCloud, @WinsonDabbles, and @abacusai https://twitter.com/erhartford/status/1774539935355396582
Grok
“Should be available on 𝕏 next week. Grok 2 should exceed current AI on all metrics. In training now.” / X – https://twitter.com/elonmusk/status/1773655245769330757?s=20
Other Open Source News
“Doing extensive manual testing of Smaug-2 – our latest LLM! Check out the speed! Local LLMs can be blazingly fast. Iterating to make it the best open-source LLM based on human eval!! https://twitter.com/bindureddy/status/1774146771234799743
Shog Hub – OpenSource repository https://hub.shog.ai/
“SWE-Agent is an open-source software engineering agent with a 12.3% resolve rate on SWE-Bench! Check out SWE-agent in action at https://twitter.com/_carlosejimenez/status/1775157915789463935
“Mojo 🔥, the programming language that turns Python into a beast, went open-source. This is a huge step and great news for the Python and AI communities! With Mojo 🔥 you can write Python code or scale all the way down to metal code. It’s fast! https://twitter.com/svpino/status/1774406305148805525
“🔥 Ragdoll – an open-source solution for building personalized character.ai-style assistants 🤖🕺 We are excited to feature Ragdoll and Ragdoll Studio (by bennyschmidt), a library and web app for building AI Personas based on a character, a web page (e.g. an e-commerce… https://twitter.com/llama_index/status/1774619392137138350

Heads up! You’ve scrolled to the end of this category. There may have been just one or two links (above), so go back up and double check to be sure you didn’t quickly scroll down past it.
Be Sure To Read This Week’s Main Post:
This week’s executive overview and top links are here:
AI News #27: Week Ending 04/05/2024 with Executive Summary and Top 48 Links
The post you just read is an deep dive extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.
- Agents/Copilots
- Amazon
- Apple
- Artificial General Intelligence (AGI)
- Augmented and Virtual Reality (AR/VR)
- Autonomous Vehicles
- AI Audio
- Business and Enterprise AI
- Chips and Hardware
- Consumer Products
- Education
- Ethics/Legal Security
- Images/Photos
- International AI News
- Locally Run AI Models
- Mobile
- Meta
- Microsoft
- OpenAI
- Open Source
- Podcasts/YouTube
- Publishing and News
- Robots and Embodiment
- Science and Medicine
- Video
- Vision/Multimodality
- X/Twitter/Grok
- Tech and Development
Credits/Sources

Most of these weekly links come from just a few prolific oversharing sources. Please follow them, as they work hard to find the news each week and they make it a lot easier for me to compile.
- Robert Scoble: https://x.com/Scobleizer
- Ethan Mollick: https://www.linkedin.com/in/emollick/
- Alan Thompson: https://lifearchitect.ai/
- Theoretically Media: https://www.youtube.com/@TheoreticallyMedia
- The Rundown: https://www.therundown.ai/
- Bilawal Sidhu: https://twitter.com/bilawalsidhu/
- TLDR: https://tldr.tech/ai
- Jeremiah Owyang: https://twitter.com/jowyang
- Nick St. Pierre: https://twitter.com/nickfloats
- Dr. Jim Fan: https://twitter.com/DrJimFan
- All About AI: https://www.youtube.com/@AllAboutAI
- Marshall Kirkpatrick: https://aitimetoimpact.com/
- AI News (Smol Talk): https://buttondown.email/ainews/archive/
For previous issues, please visit the archives!

Thanks for reading!





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