Browsing: ML News
The recent developments in the field of Artificial Intelligence, especially the introduction of Large Language Models, have paved the way for AI in almost every domain.…
ChatGPT has revolutionized the capability of easily producing a wide range of fluent text on a wide range of topics. But how good are they really?…
Tencent AI Lab researchers address challenges in the reliability of retrieval-augmented language models (RALMs), which may retrieve irrelevant information, leading to misguided responses. The proposed approach,…
Researchers from Google Research, Google DeepMind, and the University of Waterloo introduce SWIM-IR, a synthetic retrieval training dataset encompassing 33 languages, addressing the challenge of limited…
UrbanGIRAFFE, an approach proposed by researchers from Zhejiang University for photorealistic image synthesis, is introduced for controllable camera pose and scene contents. Addressing challenges in generating…
Large Language Models (LLMs) have shown great capabilities in various natural language tasks such as text summarization, question answering, generating code, etc., emerging as a powerful…
As AI continues to grow and impact all aspects of our lives, research is being conducted to make it more useful and convenient. Today, AI is…
Supervised Fine-tuning (SFT), Reward Modeling (RM), and Proximal Policy Optimization (PPO) are all part of TRL. In this full-stack library, researchers give tools to train transformer…
In multi-modal language models, a pressing challenge has emerged – the inherent limitations of existing models in grappling with nuanced visual instructions and executing a myriad…
Large Language Models, with their human-imitating capabilities, have taken the Artificial Intelligence community by storm. With exceptional text understanding and generation skills, models like GPT-3, LLaMA,…