AI system “Coscientist” masters Nobel Prize-winning chemistry reactions

Microsoft Research has introduced GraphRAG, a solution that uses Large Language Models (LLMs) to improve Retrieval-Augmented Generation (RAG) performance. By employing LLM-generated knowledge graphs, GraphRAG overcomes the challenges of extending LLM capabilities beyond their training data.…

Researchers propose a new dataset called Chop & Learn (ChopNLearn) to study compositional generalization in object recognition. They introduce two tasks, Compositional Image Generation and Compositional Action Recognition, to evaluate existing generative models and video recognition…

The Value of CS-Bench in Evaluating LLMs in Computer Science Introduction The emergence of large language models (LLMs) has shown significant potential across various fields. However, effectively utilizing computer science knowledge and enhancing LLMs’ performance remains…

Advancements in Healthcare with LLMs Large Language Models (LLMs) are transforming healthcare by enhancing clinical support through innovative tools like Microsoft’s BioGPT and Google’s Med-PaLM. However, these models must align with strict professional standards and FDA…

Recent research has focused on artificial multimodal representation learning, particularly in the integration of tactile perception. Touch-vision-language (TVL) dataset and benchmark have been introduced by UC Berkeley, Meta AI, and TU Dresden, aiming to advance touch…

Challenges in LLM Training Data Importance of Training Data in AI In Artificial Intelligence and Data Science, having ample and accessible training data is crucial for the capabilities of Large Language Models (LLMs). These models use…

Challenges in Traditional Information Retrieval (IR) Traditional IR systems struggle with complex tasks because they are built for single-step interactions. Users often have to modify their queries multiple times to get the right results. This makes…

VisionGPT-3D, a unified framework by researchers from top universities, leverages cutting-edge vision models and algorithms to automate the selection of state-of-the-art vision processing methods. It focuses on tasks like reconstructing 3D images from 2D representations and…

STORM: An AI-Powered Writing System for the Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking Generating comprehensive and detailed outlines for long-form articles, such as those on Wikipedia, poses a significant challenge. Traditional approaches…

Transforming Reasoning with CODEI/O Understanding the Challenge Large Language Models (LLMs) have improved in processing language, but they still struggle with reasoning tasks. While they can excel in structured areas like math and coding, they face…

The latest motion estimation method extracts long-term motion trajectories for each pixel, even in fast movements and complex scenes. OmniMotion explores this exciting technology and discusses the future of motion analysis.

Researchers from various universities in China and Hong Kong developed GS-SLAM, a 3D Gaussian-based SLAM system, to balance accuracy with efficiency. It uses innovative rendering and adaptive strategies to enhance pose tracking, demonstrating competitive performance on…

Understanding Reward Functions in Reinforcement Learning Reward functions are essential in reinforcement learning (RL) systems. They help define tasks but can be challenging to design effectively. A common method uses binary rewards, which are simple but…

Meet Torchchat: A Flexible Framework for Accelerating Llama 3, 3.1, and Other Large Language Models Across Laptop, Desktop, and Mobile Practical Solutions and Value The rapid development of Large Language Models (LLMs) has significantly impacted various…

The text introduces an exploration of OpenAI’s GPT architecture, with further details available on the Towards Data Science platform.

The text outlines five strategies for transforming a Data Science practice to a Senior role. These strategies include re-thinking the finish line, knowing stakeholders, generating opportunities, mastering processes, and becoming a teacher. The author emphasizes the…

Generative AI has revolutionized AI, finding applications in text generation, code generation, summarization, and more. One evolving area is natural language processing (NLP) for intuitive SQL queries, aiming to make database querying more accessible to non-technical…

Global payment leader Mastercard has partnered with crypto payment platform MoonPay to leverage Web3 tools for improved marketing and customer engagement. The collaboration was announced at the Money20/20 event in Las Vegas, with both companies expressing…