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 ...
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 ...
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 ...
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 ...
marktechpost5d
Microsoft Researchers Introduces BioEmu-1: A Deep Learning Model that can Generate Thousands of Protein Structures Per Hour on a Single GPU
Proteins are the essential component behind nearly all biological processes, from catalyzing reactions to transmitting signals within cells. While advances like AlphaFold have transformed our ability ...
marktechpost5d
Getting Started with Google Colab: A Beginner’s Guide to Free Cloud Computing
In today’s data-driven world, having access to powerful computing resources is essential for developers, data scientists, and students alike. Enter Google Colab – a game-changing platform that ...
marktechpost6d
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. The primary challenge lies in ...
marktechpost7d
Meta AI Releases ‘NATURAL REASONING’: A Multi-Domain Dataset with 2.8 Million Questions To Enhance LLMs’ Reasoning Capabilities
Large language models (LLMs) have shown remarkable advancements in reasoning capabilities in solving complex tasks. While models like OpenAI’s o1 and DeepSeek’s R1 have significantly improved ...
marktechpost6d
Fine-Tuning NVIDIA NV-Embed-v1 on Amazon Polarity Dataset Using LoRA and PEFT: A Memory-Efficient Approach with Transformers and Hugging Face
In this tutorial, we explore how to fine-tune NVIDIA’s NV-Embed-v1 model on the Amazon Polarity dataset using LoRA (Low-Rank Adaptation) with PEFT (Parameter-Efficient Fine-Tuning) from Hugging Face.
marktechpost7d
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 of medical knowledge and the ...
marktechpost5d
Building a Legal AI Chatbot: A Step-by-Step Guide Using bigscience/T0pp LLM, Open-Source NLP Models, Streamlit, PyTorch, and Hugging Face Transformers
In this tutorial, we will build an efficient Legal AI CHatbot using open-source tools. It provides a step-by-step guide to creating a chatbot using bigscience/T0pp LLM, Hugging Face Transformers, and ...