Hugging Face Releases Observers: An Open-Source Python Library that Provides Comprehensive Observability for Generative AI APIs

Graph and geometric deep learning models have been successful in machine learning for drug discovery, specifically in modeling atomistic interactions, 3D/4D situations, activity and property prediction, and molecular production. However, the lack of large labeled datasets…

Understanding Biomolecular Interactions Studying how biomolecules interact is essential for drug discovery and protein design. Traditionally, finding the 3D structure of proteins required expensive and lengthy lab work. However, AlphaFold3, launched in 2024, changed the game…

Practical Solutions for Building Information Modeling (BIM) Using Advanced Language Models Recent research has shown that large language models (LLMs) can automate wall features in building design software, allowing designers to express their ideas using natural…

Introduction to Finer-CAM Researchers at The Ohio State University have developed Finer-CAM, a groundbreaking method that enhances the accuracy and interpretability of image explanations in fine-grained classification tasks. This technique effectively addresses the limitations of existing…

Recent research delves into the linear concept representation in Large Language Models (LLMs). It challenges the conventional understanding of LLMs and proposes that the simplicity in representing complex concepts is a direct result of the models’…

PyTorch Researchers Introduce an Optimized Triton FP8 GEMM (General Matrix-Matrix Multiply) Kernel TK-GEMM that Leverages SplitK Parallelization PyTorch introduced TK-GEMM, an optimized Triton FP8 GEMM kernel, to accelerate FP8 inference for large language models (LLMs) like…

Genetic algorithms are highlighted as an efficient tool for feature selection in large datasets, showcasing how it can be beneficial in minimizing the objective function via population-based evolution and selection. A comparison with other methods is…

SPHINX is a multi-modal large language model that addresses the limitations of existing models in understanding visual instructions and performing diverse tasks. It integrates model weights, tuning tasks, and visual embeddings to excel in tasks like…

DiG: Revolutionizing Molecular Modeling with Equilibrium Distribution Prediction Practical Solutions and Value DiG, a deep learning framework, predicts equilibrium distributions of molecular systems efficiently, enabling diverse molecular sampling for understanding structure-function relationships and designing molecules and…

Tarsier is an open-source Python library created by Reworkd to facilitate web interaction with multi-modal Language Models (LLMs) like GPT-4. It visually tags interactable elements on web pages, enhancing the capabilities of these models. Tarsier simplifies…

Researchers are using sim-to-real reinforcement learning to train humanoid robots like Digit V3 to perform tasks in real-world settings, such as walking in unfamiliar environments and carrying loads without toppling over. This approach employs repeated simulations…

Engineers have developed a method to teach robots to recognize uncertainty by quantifying the vagueness of human instructions, prompting them to request clarification when necessary, such as when multiple objects are present but only one is…

Mira Murati is appointed CTO, while Greg Brockman reassumes the position of President. CEO Sam Altman and board chair Bret Taylor have released messages regarding these changes.

The human brain is a complex organ that processes information hierarchically and in parallel. Can these techniques be applied to deep learning? Yes, researchers at the University of Copenhagen have developed a neural network called Neural…

Practical AI Solutions for Business Advancement Mapping Neural Networks to Graph Structures: Enhancing Model Selection and Interpretability through Network Science Machine learning and deep neural networks (DNNs) drive modern technology, impacting products like smartphones and autonomous…

Zamba2-2.7B: Revolutionizing Small Language Models Enhanced Performance and Efficiency Zyphra’s Zamba2-2.7B sets a new standard in small language models, achieving remarkable efficiency and performance. Trained on a substantial dataset, it matches larger models while reducing resource…

Understanding Automatic Benchmarks for Evaluating LLMs Affordable and Scalable Solutions: Automatic benchmarks like AlpacaEval 2.0, Arena-Hard-Auto, and MTBench are becoming popular for evaluating Large Language Models (LLMs). They are cheaper and more scalable than human evaluations.…