AI

Supervised Fine-tuning (SFT), Reward Modeling (RM), and Proximal Policy Optimization (PPO) are all part of TRL. In…

IntroductionPrompt engineering focuses on devising effective prompts to guide Large Language Models (LLMs) such as GPT-4 in…

Last September, world leaders like Elon Musk, Mark Zuckerberg, and Sam Altman, OpenAI’s CEO, gathered in Washington D.C. with the…

Researchers from China have introduced a new corrective AI framework called Woodpecker to address the problem of…

Projecting a dynamic system’s future behaviour, or dynamics forecasting, entails understanding the underlying…

Speech continuation and question-answering LLMs are versatile tools that can be applied to a wide array of tasks and…

Large Language Models have shown amazing capabilities in recent times. Diffusion models, in particular, have been…

In recent times, the zero-shot and few-shot capabilities of Large Language Models (LLMs) have increased…

In Reinforcement learning (RL), effectively integrating human feedback into learning processes has risen to the…

Large language model (LLM) research and applications have advanced remarkably in recent years. These generative…