LLMs based on transformer architectures, such as GPT and LLaMA series, have excelled in NLP tasks due to their extensive […]
Category: Applications
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 […]
Leveraging Hallucinations in Large Language Models to Enhance Drug Discovery
Researchers have highlighted concerns regarding hallucinations in LLMs due to their generation of plausible but inaccurate or unrelated content. However, […]
Test-Time Preference Optimization: A Novel AI Framework that Optimizes LLM Outputs During Inference with an Iterative Textual Reward Policy
Large Language Models (LLMs) have become an indispensable part of contemporary life, shaping the future of nearly every conceivable domain. […]
Quantifying Knowledge Transfer: Evaluating Distillation in Large Language Models
Knowledge distillation, a crucial technique in artificial intelligence for transferring knowledge from large language models (LLMs) to smaller, resource-efficient ones, […]
DeepSeek-AI Releases Janus-Pro 7B: An Open-Source multimodal AI that Beats DALL-E 3 and Stable Diffusion
Multimodal AI integrates diverse data formats, such as text and images, to create systems capable of accurately understanding and generating […]