Automating RL Workflows with Vision-Language Models, Novel Metric for Formula Recognition, Fei-Fei Li’s World Labs Funding, Microsoft’s MedFuzz AI Method for Medical QA

Advancements in utilizing vision-language models (VLMs) in reinforcement learning (RL) and robotics. Introducing a novel evaluation metric for formula recognition. Fei-Fei Li's World Labs secures $230M in funding. Microsoft researchers propose MedFuzz, a new AI method for evaluating medical question-answering models.

Sources:
https://www.marktechpost.com/2024/09/13/automating-reinforcement-learning-workflows-with-vision-language-models-towards-autonomous-mastery-of-robotic-tasks/
https://www.marktechpost.com/2024/09/13/character-detection-matching-cdm-a-novel-evaluation-metric-for-formula-recognition/
https://techcrunch.com/2024/09/13/fei-fei-lis-world-labs-comes-out-of-stealth-with-230m-in-funding/
https://www.marktechpost.com/2024/09/13/microsoft-researchers-propose-medfuzz-a-new-ai-method-for-evaluating-the-robustness-of-medical-question-answering-llms-to-adversarial-perturbations/

Outline:
(00:00:00) Introduction
(00:00:47) Automating Reinforcement Learning Workflows with Vision-Language Models: Towards Autonomous Mastery of Robotic Tasks
(00:03:04) Fei-Fei Li’s World Labs comes out of stealth with $230M in funding
(00:05:23) Microsoft Researchers Propose MedFuzz: A New AI Method for Evaluating the Robustness of Medical Question-Answering LLMs to Adversarial Perturbations