What is an Agent? An agent is a Large Language Model (LLM)-powered system that can decide its own workflow. Unlike […]
Category: Tech News
NVIDIA AI Releases Eagle2 Series Vision-Language Model: Achieving SOTA Results Across Various Multimodal Benchmarks
Vision-Language Models (VLMs) have significantly expanded AI’s ability to process multimodal information, yet they face persistent challenges. Proprietary models such […]
Meta AI Introduces MR.Q: A Model-Free Reinforcement Learning Algorithm with Model-Based Representations for Enhanced Generalization
Reinforcement learning (RL) trains agents to make sequential decisions by maximizing cumulative rewards. It has diverse applications, including robotics, gaming, […]
Optimization Using FP4 Quantization For Ultra-Low Precision Language Model Training
Large Language Models (LLMs) have emerged as transformative tools in research and industry, with their performance directly correlating to model […]
TensorLLM: Enhancing Reasoning and Efficiency in Large Language Models through Multi-Head Attention Compression and Tensorisation
LLMs based on transformer architectures, such as GPT and LLaMA series, have excelled in NLP tasks due to their extensive […]
Qwen AI Introduces Qwen2.5-Max: A large MoE LLM Pretrained on Massive Data and Post-Trained with Curated SFT and RLHF Recipes
The field of artificial intelligence is evolving rapidly, with increasing efforts to develop more capable and efficient language models. However, […]
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 remains a complex challenge. Traditional models often struggle […]
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 to understand some of the basics involved. Despite […]
InternVideo2.5: Hierarchical Token Compression and Task Preference Optimization for Video MLLMs
Multimodal large language models (MLLMs) have emerged as a promising approach towards artificial general intelligence, integrating diverse sensing signals into […]
Microsoft AI Introduces CoRAG (Chain-of-Retrieval Augmented Generation): An AI Framework for Iterative Retrieval and Reasoning in Knowledge-Intensive Tasks
Retrieval-Augmented Generation (RAG) is a key technique in enterprise applications that combines large foundation models with external retrieval systems to […]