marktechpost3d
Simplifying Self-Supervised Vision: How Coding Rate Regularization Transforms DINO & DINOv2
Learning useful features from large amounts of unlabeled images is important, and models like DINO and DINOv2 are designed for this. These models work well for tasks like image classification and ...
marktechpost4d
Meta AI Introduces SWE-RL: An AI Approach to Scale Reinforcement Learning based LLM Reasoning for Real-World Software Engineering
Modern software development faces a multitude of challenges that extend beyond simple code generation or bug detection. Developers must navigate complex codebases, manage legacy systems, and address ...
marktechpost5d
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 ...
marktechpost8d
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 ...
marktechpost5d
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 ...
marktechpost7d
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 ...
marktechpost14d
LG AI Research Releases NEXUS: An Advanced System Integrating Agent AI System and Data Compliance Standards to Address Legal Concerns in AI Datasets
After the advent of LLMs, AI Research has focused solely on the development of powerful models day by day. These cutting-edge new models improve users’ experience across various reasoning, content ...
marktechpost6d
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 ...
marktechpost6d
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 ...
marktechpost8d
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 ...
marktechpost7d
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 ...
marktechpost6d
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 ...