Creating An AI Agent-Based System with LangGraph: A Beginner’s Guide
What is an Agent?
An agent is a Large Language Model (LLM)-powered system...
Meta AI Introduces MR.Q: A Model-Free Reinforcement Learning Algorithm with Model-Based Representations for Enhanced...
Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative...
Optimization Using FP4 Quantization For Ultra-Low Precision Language Model Training
Large Language Models (LLMs) have emerged as transformative tools in research and...
TensorLLM: Enhancing Reasoning and Efficiency in Large Language Models through Multi-Head Attention Compression and...
LLMs based on transformer architectures, such as GPT and LLaMA series, have...
Qwen AI Introduces Qwen2.5-Max: A large MoE LLM Pretrained on Massive Data and Post-Trained...
The field of artificial intelligence is evolving rapidly, with increasing efforts to...
Qwen AI Releases Qwen2.5-VL: A Powerful Vision-Language Model for Seamless Computer Interaction
In the evolving landscape of artificial intelligence, integrating vision and language capabilities...
A Comprehensive Guide to Concepts in Fine-Tuning of Large Language Models (LLMs)
With the current conversation about widespread LLMs in AI, it is crucial...
ByteDance Introduces UI-TARS: A Native GUI Agent Model that Integrates Perception, Action, Reasoning, and...
GUI agents seek to perform real tasks in digital environments by understanding...
Microsoft AI Introduces CoRAG (Chain-of-Retrieval Augmented Generation): An AI Framework for Iterative Retrieval and...
Retrieval-Augmented Generation (RAG) is a key technique in enterprise applications that combines...
Leveraging Hallucinations in Large Language Models to Enhance Drug Discovery
Researchers have highlighted concerns regarding hallucinations in LLMs due to their generation...
