A new AI model for the agentic era
A note from Google and Alphabet CEO Sundar Pichai: Information is at the core of human progress. It’s …
Updates to Veo, Imagen and VideoFX, plus introducing Whisk in Google Labs
While video models often “hallucinate” unwanted details — extra fingers or unexpected objects, for example — Veo 2 …
FACTS Grounding: A new benchmark for evaluating the factuality of large language models
Responsibility & Safety Published 17 December 2024 Authors FACTS team Our comprehensive benchmark and online leaderboard offer a …
New training approach could help AI agents perform better in uncertain conditions | MIT News
A home robot trained to perform household tasks in a factory may fail to effectively scrub the sink …
ByteDance Introduces UI-TARS: A Native GUI Agent Model that Integrates Perception, Action, Reasoning, and Memory into a Scalable and Adaptive Framework
GUI agents seek to perform real tasks in digital environments by understanding and interacting with graphical interfaces such …
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 …
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 …
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 …
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 …
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 …