marktechpost3d
DeepSeek AI Releases DeepGEMM: An FP8 GEMM Library that Supports both Dense and MoE GEMMs Powering V3/R1 Training and Inference
Efficient matrix multiplications remain a critical component in modern deep learning and high-performance computing. As models become increasingly complex, conventional approaches to General Matrix ...
marktechpost4d
Open-Reasoner-Zero: An Open-source Implementation of Large-Scale Reasoning-Oriented Reinforcement Learning Training
Large-scale reinforcement learning (RL) training of language models on reasoning tasks has become a promising technique for mastering complex problem-solving skills. Currently, methods like OpenAI’s ...
marktechpost4d
DeepSeek AI Releases DeepEP: An Open-Source EP Communication Library for MoE Model Training and Inference
Large language models that use the Mixture-of-Experts (MoE) architecture have enabled significant increases in model capacity without a corresponding rise in computation. However, this approach also ...
marktechpost4d
This AI Paper from Menlo Research Introduces AlphaMaze: A Two-Stage Training Framework for Enhancing Spatial Reasoning in Large Language Models
Artificial intelligence continues to advance in natural language processing but still faces challenges in spatial reasoning tasks. Visual-spatial reasoning is fundamental for robotics, autonomous ...
marktechpost5d
What are AI Agents? Demystifying Autonomous Software with a Human Touch
In today’s digital landscape, technology continues to advance at a steady pace. One development that has steadily gained attention is the concept of the AI agent—software designed to perform tasks ...
marktechpost5d
Meta AI Introduces MLGym: A New AI Framework and Benchmark for Advancing AI Research Agents
The ambition to accelerate scientific discovery through AI has been longstanding, with early efforts such as the Oak Ridge Applied AI Project dating back to 1979. More recent advancements in ...
marktechpost3d
Enhancing Instruction Tuning in LLMs: A Diversity-Aware Data Selection Strategy Using Sparse Autoencoders
Pre-trained LLMs require instruction tuning to align with human preferences. Still, the vast data collection and rapid model iteration often lead to oversaturation, making efficient data selection a ...
marktechpost6d
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 used in robotics, finance, and coding but ...
marktechpost3d
Convergence Releases Proxy Lite: A Mini, Open-Weights Version of Proxy Assistant Performing Pretty Well on UI Navigation Tasks
In today’s digital landscape, automating interactions with web content remains a nuanced challenge. Many existing solutions are resource-intensive and tailored for narrowly defined tasks, which limits ...
marktechpost6d
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 model sizes and datasets continue to grow, traditional ...
marktechpost4d
Getting Started with GitHub: Upload, Clone, and Create a README
GitHub is an essential platform for version control and collaboration. This guide will walk you through three fundamental GitHub skills: creating and uploading a repository, cloning an existing ...
marktechpost6d
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. To address these challenges, researchers have ...