Large Language Models (LLMs) have successfully replicated human-like conversational abilities and demonstrated proficiency in coding. However, they continue to grapple with the challenges of maintaining high reliability and stringent abidance to ethical and safety measures. Reinforcement Learning from Human Feedback (RLHF) or Preference-based Reinforcement Learning (PbRL) has emerged as a promising solution to help fine-tune…
Reinforcement learning (RL) is a branch of artificial intelligence where an agent learns to make decisions through interaction with its environment. The principles of RL rely on concepts of agents, environments, states, actions, reward signals, policies, value functions, and a balance of exploration and exploitation.
Agents interact with their environment, which provides different states that form…
A study conducted by Massachusetts Institute of Technology (MIT) researchers has revealed that physicians are less adept at diagnosing skin diseases in patients with darker skin, solely based on image analysis. This disparity was revealed in a study that involved over 1,000 dermatologists and general practitioners. The accuracy of dermatologists in characterizing images of darker…