Browsing: ML News
Large language models (LLMs) have the potential to lead users to make poor decisions, especially when these models provide incorrect information with high confidence, which is…
Large language models (LLMs) have shown promise in powering autonomous agents that control computer interfaces to accomplish human tasks. However, without fine-tuning on human-collected task demonstrations,…
GitLab offers AI features like code suggestions, vulnerability explanations, and DevSecOps automation, which streamline development processes. These features leverage AI to enhance code quality, improve security,…
A major challenge in the field of natural language processing (NLP) is addressing the limitations of decoder-only Transformers. These models, which form the backbone of large…
Accurately predicting antibody structures is essential for developing monoclonal antibodies, pivotal in immune responses and therapeutic applications. Antibodies have two heavy and two light chains, with…
Recent advances in artificial intelligence, primarily driven by foundation models, have enabled impressive progress. However, achieving artificial general intelligence, which involves reaching human-level performance across various…
Microsoft’s AI courses offer comprehensive coverage of AI and machine learning concepts for all skill levels, providing hands-on experience with tools like Azure Machine Learning and…
Research on Autonomous systems revolves around enhancing the capabilities of autonomous agents to explore complex environments effectively. This includes leveraging advanced algorithms and large-scale pre-trained models…
Grokking is a newly developed phenomenon where a model starts to generalize well long after it has overfitted to the training data. It was first seen…
Tsinghua University’s Knowledge Engineering Group (KEG) has unveiled GLM-4 9B, a powerful new language model that outperforms GPT-4 and Gemini in various benchmarks. Developed by the…