In this tutorial, we will build an efficient Legal AI CHatbot using open-source tools. It provides a step-by-step guide to […]
Category: Machine Learning
This AI Paper from Weco AI Introduces AIDE: A Tree-Search-Based AI Agent for Automating Machine Learning Engineering
The development of high-performing machine learning models remains a time-consuming and resource-intensive process. Engineers and researchers spend significant time fine-tuning […]
Moonshot AI and UCLA Researchers Release Moonlight: A 3B/16B-Parameter Mixture-of-Expert (MoE) Model Trained with 5.7T Tokens Using Muon Optimizer
Training large language models (LLMs) has become central to advancing artificial intelligence, yet it is not without its challenges. As […]
Sony Researchers Propose TalkHier: A Novel AI Framework for LLM-MA Systems that Addresses Key Challenges in Communication and Refinement
LLM-based multi-agent (LLM-MA) systems enable multiple language model agents to collaborate on complex tasks by dividing responsibilities. These systems are […]
TokenSkip: Optimizing Chain-of-Thought Reasoning in LLMs Through Controllable Token Compression
Large Language Models (LLMs) face significant challenges in complex reasoning tasks, despite the breakthrough advances achieved through Chain-of-Thought (CoT) prompting. […]
Stanford Researchers Introduce OctoTools: A Training-Free Open-Source Agentic AI Framework Designed to Tackle Complex Reasoning Across Diverse Domains
Large language models (LLMs) are limited by complex reasoning tasks that require multiple steps, domain-specific knowledge, or external tool integration. […]
Google DeepMind Research Releases SigLIP2: A Family of New Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Modern vision-language models have transformed how we process visual data, yet they often fall short when it comes to fine-grained […]
Robot with 1,000 muscles twitches like human while dangling from ceiling
Plans for 279 robots to start While the Protoclone is a twitching, dangling robotic prototype right now, there’s a lot […]
Meet Baichuan-M1: A New Series of Large Language Models Trained on 20T Tokens with a Dedicated Focus on Enhancing Medical Capabilities
While LLMs have shown remarkable advancements in general-purpose applications, their development for specialized fields like medicine remains limited. The complexity […]
Boosting AI Math Skills: How Counterexample-Driven Reasoning is Transforming Large Language Models
Mathematical Large Language Models (LLMs) have demonstrated strong problem-solving capabilities, but their reasoning ability is often constrained by pattern recognition […]