BOND: A Groundbreaking Advancement in Reinforcement Learning from Human Feedback
In ensuring safety and quality of training language models, Reinforcement Learning from Human Feedback (RLHF) plays a crucial role. Recently,
Read MoreIn ensuring safety and quality of training language models, Reinforcement Learning from Human Feedback (RLHF) plays a crucial role. Recently,
Read MoreWe have witnessed shifts in our engagement with machines, thanks to developments in chatbot technology. Such advanced conversational agents employ
Read MoreUnderstanding RAG: Enhancing LLMs with External Knowledge Retrieval-Augmented Generation (RAG) significantly improves the performance of Large Language Models (LLMs) by
Read MoreLarge Language Models (LLMs) are the foundation of progress in natural language processing (NLP) within the constantly changing world of
Read MoreIntroduction Artificial Intelligence (AI) has been growing exponentially during the recent years, giving the rise to the large language models
Read MoreIntroduction SenseTime, a frontrunner in AI technology, has recently introduced the SenseNova 5.5 system. This latest release underscores SenseTime’s commitment
Read MoreIn the ever-evolving world of artificial intelligence, a new player has emerged: Moshi. This advanced AI chatbot boasts features comparable
Read MoreThe future of artificial intelligence (AI) and machine learning (ML) lies in the development of small, specialized language models. These
Read MoreThe theory of mind, the ability to attribute mental states to oneself and others, is fundamental to human social interactions.
Read MoreIn the rapidly evolving field of Natural Language Processing (NLP), evaluating language models is crucial to ensure their effectiveness in
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