Exciting news 🎉 Our submission for SWE-Bench has secured the 1st position on the SWE-Bench lite leaderboard.  Grateful for the opportunity to contribute to and work on building the SoTA agent. Thank you to Robert Rizk and Richard Rizk for the opportunity and support. #SWEBench

A proud and milestone moment: Meta showcases and releases a report on our pioneering Medical LLM work (OpenBioLLM) 🔥 Great to see the field evolving and major players recognizing the impact AI can have on healthcare delivery. Early innovations paving the way for broader

Discover how Saama fine-tuned a series of Llama models to streamline clinical trials and accelerate personalized medicine allowing researchers and healthcare providers to generate clinical trial protocols, improve diagnostic accuracy, and enhance treatment planning. Learn more

OpenBioLLM-8B and OpenBioLLM-70B are new fine-tuned Llama models developed by Saama to streamline tasks that can accelerate clinical trials, opening up new possibilities in personalized medicine. More details in their research paper ➡️ go.fb.me/x3iq84

1000 citations: Like a well-trained model, finally converged to meaningful impact! 🤠 :) Since 2018 -

✨ Big life update: Happy to share that I'm moving to Boston to start my PhD at Harvard University! 🎓 Looking forward to new chapter and would love to connect with fellow researchers. Always happy to chat about AI, AI in healthcare, Robotics or grab coffee! #phd #AI #Boston #Harvard

LoRA makes fine-tuning more accessible, but it's unclear how it compares to full fine-tuning. We find that the performance often matches closely---more often than you might expect. In our latest Connectionism post, we share our experimental results and recommendations for LoRA.