Another great week in open ML! Here's a small recap 🫰🏻
Model releases ⏯️ Video Language Models AI at Meta released Vision-CAIR/LongVU_Qwen2_7B, a new state-of-the-art long video LM model based on DINOv2, SigLIP, Qwen2 and Llama 3.2
💬 Small language models Hugging Face released HuggingFaceTB/SmolLM2-1.7B, a family of new smol language models with Apache 2.0 license that come in sizes 135M, 360M and 1.7B, along with datasets. Meta released facebook/MobileLLM-1B, a new family of on-device LLMs of sizes 125M, 350M and 600M
"Comparing Open-source and Proprietary LLMs in Medical AI"
We put the biggest AI brains 🧠 to the test on medical tasks 🏥 using popular benchmarks such as MedQA.
Closed-source vs. open-source, costs decoded, and performance revealed! We need even more comprehensive benchmarks and evaluations of LLMs in medical tasks 🔬
Last Week in Medical AI: Top Research Papers/Models 🏅(September 7 - September 14, 2024)
🏅 Medical AI Paper of the week Chai-1 Foundation model molecular structure prediction
Medical LLMs & Benchmarks - BrainWave: A Brain Signal Foundation Model - DS-ViT: Vision Transformer for Alzheimer’s Diagnosis - EyeCLIP: Visual–language model for ophthalmic - Segment Anything Model for Tumor Segmentation - MEDIC: Evaluating LLMs in Clinical Applications
Medical LLM Applications - KARGEN: Radiology Report Generation LLMs - DrugAgent: Explainable Drug Repurposing Agents - Improving RAG in Medicine with Follow-up Questions
Frameworks and Methodologies - Infrastructure for Automatic Cell Segmentation - Data Alignment for Dermatology AI - Diagnostic Reasoning in Natural Language - Two-Stage Instruction Fine-tuning Approach for Med
AI in Healthcare Ethics - Concerns and Choices of Using LLMs for Healthcare - Understanding Fairness in Recommender Systems - Towards Fairer Health Recommendations
Thank you for your continued support and love for this series! Stay up-to-date with weekly updates on Medical LLMs, datasets, and top research papers by following @aaditya 🤗