Ai2

Our senior director Hannaneh Hajishirzi has been trying to solve puzzles since she was a child. Don't take our word for it — Hanna's mom is one of the featured interviews in this awesome profile by GeekWire!

Meet OLMo 2, the best fully open language model to date, including a family of 7B and 13B models trained up to 5T tokens. OLMo 2 outperforms other fully open models and competes with open-weight models like Llama 3.1 8B — As always, we released our data, code, recipes and more 🎁 Read about the OLMo 2 recipe in our blog: https://lnkd.in/gPMeBczs

Meet Tülu 3 -- a set of state-of-the-art instruct models with fully open data, evaluation, code, and training algorithms, designed to serve as a comprehensive guide for modern post-training techniques. We invented new methods for fine-tuning language models with RL and built upon best practices in the community to scale synthetic instruction and preference data. We’re excited to bring the Tulu 3 recipe to more models shortly 🥳 Try it out: https://lnkd.in/gk3Q49a5

Much of the #AI spotlight is on Meta, Google, Amazon, OpenAI, Anthropic, and others in "Big AI." But there's another one looking to make waves and has been studying artificial intelligence for over a decade: Ai2. Created by the late Microsoft co-founder Paul Allen, AI2 wants to develop AI for the common good. It's arguably one of the most prolific AI research institutions, having published over 1,000 papers and has won many awards, minus a Turing Award, for its work. Ali Farhadi, a University of Washington professor and a long-time #AI researcher, is now leading that charge. An early employee, he helped build the firm's computer vision team, eventually developing technology that became a startup that Apple acquired. After a few years away, Farhadi returned for an opportunity he couldn't pass up: Taking control of AI2. Under his stewardship, the company's focus has narrowed, targeting areas where its work will have the most significant impact. One of them is promoting openness in AI. "AI is born and raised in the open," Farhadi tells me in an interview conducted at AI2's Seattle, Washington office. Today's issue of The AI Economy examines the work AI2 is doing, the importance of openness in AI, why Farhadi claims we're in an "evaluation crisis," the future of the technology, and what he thinks about artificial general intelligence (AGI) Plus, remember this week's curated news roundup! ---- 🔔 Enjoy what you read? Subscribe now to The AI Economy for more. https://lnkd.in/g6QERP6u 🚨 Follow Ken Yeung for more #tech and #business news. ♻️ Like and share! #artificialintelligence #enterprise #business #innovation #LLMs #technology #opensource

Open access to data. Open models. Open code. Open standards. Our approach to openness is all-encompassing, so we can build a future where AI is accessible to all. Learn more: https://lnkd.in/guNydGzQ

AI has limitless potential, which must be developed safely and responsibly. Our research team is dedicated to upholding our 5️⃣ principles to safeguard AI development and explore its potential.

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Are you a Semantic Scholar API user who'd like to access the data without rate limits? Learn about self-hosting in our upcoming webinar, presented by Seth Watson at moara.io! You’ll learn how to manage large-scale academic information independently and how to build efficient, cost-effective data solutions. 📅 Thursday, November 7th 🕙 10:00 - 11:00 AM Pacific Standard Time Sign up now: https://lnkd.in/gpxjSRhc

📣 We're looking for a Lead Technical Product/Program Manager to join our team! If you're a leader who thrives in greenfield problems, and who likes wearing multiple hats 🎩 , this could be the perfect role for you: https://lnkd.in/gtMi_VUy

There seems to be some confusion around what “open source” AI means 🤔 At Ai2 it could not be clearer. We are not just open, we are More Than Open. ▪ Open Data: Open access to pre-training data is a must have for understanding model behavior. We cannot take a scientific approach to AI creation without access to and understanding of the training data.  ▪ Open Models: We train AI models in the open. We share design decisions, learnings, and documentation along the way so that anyone can understand how our models are trained. ▪ Open Code: We openly share training code, model weights, checkpoints, and evaluation benchmarks  to enable anyone to reproduce or build upon our models.  ▪ Open Standards: We are setting open standards. We provide open evaluation tools, benchmarks, and safety toolkits so that the community can develop safe and trustworthy AI together. Learn more: https://lnkd.in/gzCkf427.