Arcee.ai

They’ve been featured in Bloomberg, Forbes, TheCube, VentureBeat, TechCrunch and more… Now’s your time to meet Mark McQuade and Brian Benedict– the star co-founders of the start-up that created the small language model category (SLM). Mark and Brian will be at AWS re:Invent in Vegas, where they’ll be launching their latest product: a new platform that leverages SLMs in a way that, more than ever, brings immediate ROI and transforms how teams do business – in companies across ALL industries. Be among the first to get a peek at the new product, straight from Mark and Brian. ???????? ???????? ?? ???????? ???????? ???? ?????? ???????????????? ???? ??????’?? ???????? ???? ???? ?????? ???? ?? ??????????????, ???? ? ???????? ???? ?????????? #????????. ? #reinvent2024 #EnterpriseAI #GenAI #AgenticAI

Looking for a comprehensive survey of Enterprise AI to guide your 2025 decisions? GAI Insights has dropped their annual Corporate Buyers’ Guide to Enterprise Intelligence Applications (EIA) report, which ???????? ???????? ???????????????? ??????????? ????? ???? ?????? ???? ?????????? ???????????????? ??????????????. The report includes:?? ?? Profiles of Arcee AI and 28 other vendors, including Anthropic, OpenAI, Databricks, Microsoft, IBM, and Mistral AI ?? Analysis of Open vs. Closed-Source model debate and trends ?? AI pricing and growth projections. Subscribe to the GAI Insights newsletter (https://lnkd.in/dDZ3dST8) for all the details and to learn how to get your copy of the report! #EnterpriseAI #LLMs #GenAI #NLP

With exactly one week to go until re:Invent, we’re thrilled to bring you a major announcement: Arcee AI has entered into a ?Strategic Collaboration Agreement (SCA) ? with AWS. We’re proud to have worked closely with AWS since Day 1 and through every stage of our growth ??????. Today, nine of our highly-performant and cost-effective SLMs are available on the AWS Marketplace. Our customers can deploy and test our SLMs in minutes thanks to AWS SageMaker JumpStart. And for production, they can seamlessly deploy them privately within their AWS infrastructure, benefiting from AWS's security, scalability, and reliability. Next week, we’ll be at re:Invent, where ?? yet another MAJOR announcement about Arcee AI + AWS ?? will be dropping. That’s where we’ll also be offering the ?????????? ?????????????? ???? ?????? ???????? ??????????????: a platform that takes SLMs to the next level of accessibility, practical use, and business value. Thank you to TechBullion for the coverage of this key partnership as we bring SLMs to the world ???? https://lnkd.in/eWuXK9F6

At Arcee AI we’re proud to have a roster of clients that’s growing by the day, and we’re equally committed to our contributions to the open-source community–which include popular repos like MergeKit and DistillKit. Today, we’re psyched to let you know about one of our big ongoing collaborations: led by Prime Intellect and with other global partners, ???? ?????????? ?????? ?????????? ?????????????????????????? ?????? ?????????? ???????????? ?????? ????, ????????????, ?????? ????????! Utilizing our SOTA post-training pipeline, we have started fine-tuning the model and will fully open source the results in a week. ???????? ???????? ??????????????: ?? the base model ?? checkpoints ?? the post-trained model ?? and data! Follow us here on Linkedin, and Prime Intellect over on X, to stay across the big release!! #GenAI #opensource #EnterpriseAI?

?? Lots of voices are saying that, in the generative AI space, 2024 has been the year of the Small Language Model (SLM). As the pioneers of the SLM category, we’re certainly not going to argue with them. ?? As we ?? look ahead to 2025 ?? it’s also clear what’s coming: it will be the year of #AI agents. ?? Stay tuned to Arcee AI's channels for big announcements coming soon RE how to combine the performance and efficiency of SLMs with the transformative power of #AgenticAI. In the meantime, learn more about the capabilities of AI agents in this article–in which we explain the six main types of AI agents, including some that are already household names. https://lnkd.in/dFbtwbNK

?? The countdown is on to AWS re:Invent 2024 ?? where our team will be ready to tell you how and why small language models (SLMs) are the key to getting serious ROI from your #GenAI. They'll also be offering previews of ?our next big product?: how we've taken the category we created, small language models, and made them even more powerful for delivering immediate ROI to all teams in all industries. ?? Get ahead of the re:Invent game by scheduling a 1-on-1 with a member of our stellar team that will be on-site:? https://lnkd.in/eTs7VFHQ #EnterpriseAI #reinvent2024

?? Arcee AI will be at re:Invent in Vegas from December 2-6 ! ?? We're excited to have partnered with MongoDB as part of their AI Avenue – come find us at the AI Showcase Booth #1406. ?? Chat with our experts, see demos, and discover how ? Arcee AI + MongoDB Atlas + AWS ? offer the easiest and most secure enterprise AI solution. Our Customer Success ML Engineer William Barber will be doing a lightning talk on Day 1. The talk is a must-attend for anyone interested in what companies can do better when it come to getting ROI from your #GenAI. ? Full details on that and the other AI Avenue lightning talks here: https://lnkd.in/euFpxgFb

?? What’s the difference between a large language model #LLM and a small language model (SLM)? ?? What are the trade-offs when opting for small over large? ?? And – putting aside the cost savings – can small really beat large when it comes to performance and accuracy? Suddenly everyone seems to be talking about SLMs, so take your key questions to the source: Arcee AI, where ???? ?????????????????? ?????? ?????????? ???????????????? ?????????? ????????????????. Get your key questions answered on our “All About SLMs” page, and reach out to our team when you’re ready to learn how SLMs are bringing cutting-edge #GenAI to companies of all sizes. https://lnkd.in/eDpgPFFF #innovation #EnterpriseAI?#NLP

How does Arcee AI make ?????????? Language Models that have an ???????????????? impact when it comes to accuracy and performance? It’s thanks to our SOTA post-training pipeline, which includes steps like distillation, Spectrum training, and model merging. And as fierce advocates for open-source research, we’ve been proud to share with the community several major elements of the techniques that make up our training pipeline. Our contributions have perhaps been felt the the most with MergeKit – our repo that enables model merging. This week, we'd like to celebrate our Research team for the publication of their MergeKit academic paper in the ?????????????????????? ???? ?????? ???????? ???????????????????? ???? ?????????????????? ?????????????? ???? ?????????????? ???????????????? ???????????????????? (#EMNLP).? ?? Huge congrats to the the authors (tagged below) ?? You can check out the paper here:?https://lnkd.in/ebxjiNjp #GenAI #NLP #innovation??

?? As the end of 2024 approaches, the rise of ?????????? ???????????????? ???????????? (SLMs) is undeniable. ? Here at Arcee AI we're proud to be the pioneers of the SLM category – but even we have been pleasantly surprised by quickly the market has shifted towards grasping the fact that SMALL is better than large when it comes language models ?? If you happen to still be stuck in #LLM-world, fear not – we’ve put together a crash course on SLMs. Check it out here, and drop a comment below if you'd like to get in touch with our team to learn how easy it is to implement SLMs in any size company: https://lnkd.in/e-GbMwPf #GenAI #NLP #innovation?