GitLab offers AI features like code suggestions, vulnerability explanations, and DevSecOps automation, which streamline development processes. These features leverage AI…
Machine Learning
Large language models (LLMs) have shown promise in powering autonomous agents that control computer interfaces to accomplish human tasks. However,…
Recent advances in artificial intelligence, primarily driven by foundation models, have enabled impressive progress. However, achieving artificial general intelligence, which…
This paper explores the domain of uncertainty quantification within large language models (LLMs) to identify scenarios where uncertainty in response…
Recent advancements in machine learning have been actively used to improve the domain of healthcare. Despite performing remarkably well on…
Accurately predicting antibody structures is essential for developing monoclonal antibodies, pivotal in immune responses and therapeutic applications. Antibodies have two…
In today’s age, learning AI is crucial as companies increasingly rely on it for efficiency, automation, and personalization, yet not…
Dataset distillation is an innovative approach that addresses the challenges posed by the ever-growing size of datasets in machine learning.…
The remarkable performance in different reasoning tasks has been demonstrated by several Large Language Models (LLMs), such as GPT-4, PaLM,…
A major challenge in the field of natural language processing (NLP) is addressing the limitations of decoder-only Transformers. These models,…
Achieving real-time speech recognition directly within a web browser has long been a sought-after milestone. Whisper WebGPU by a Hugging…
Sampling from complex, high-dimensional target distributions, such as the Boltzmann distribution, is crucial in many scientific fields. For instance, predicting…
Zyphra announced the release of Zyda, a groundbreaking 1.3 trillion-token open dataset for language modeling. This innovative dataset is set…
Chain-of-Thought (CoT) reasoning enhances the capabilities of LLMs, allowing them to perform more complex reasoning tasks. Despite being primarily trained…
Monte Carlo (MC) methods rely on repeated random sampling, so they are widely utilized for simulating and approximating complicated real-world…
The ability to discern relevant and essential information from noise is paramount in AI, particularly within large language models (LLMs).…
Audio classification has evolved significantly with the adoption of deep learning models. Initially dominated by Convolutional Neural Networks (CNNs), this…
Microsoft’s AI courses offer comprehensive coverage of AI and machine learning concepts for all skill levels, providing hands-on experience with…
Fusion oncoproteins, formed by chromosomal translocations, are key drivers in many cancers, especially pediatric ones. These chimeric proteins are difficult…
Choosing large language models (LLMs) tailored for specific tasks is crucial for maximizing efficiency and accuracy. With natural language processing…