Technology

VeBrain: A Unified Multimodal AI Framework for Visual Reasoning and Real-World...

AI Observer
Technology

Adopting agentic AI? Build AI fluency, redesign workflows, don’t neglect supervision

AI Observer
Anthropic

Did you pre-order the Samsung Galaxy S25 Edge?

AI Observer
Anthropic

Nothing Phone (3) leak confirms flagship specs

AI Observer
Anthropic

PlayStation’s Canadian multiplayer service game is in trouble.[19659001]

AI Observer
Anthropic

Telus weekend sale reduces plans by $10

AI Observer
News

Nvidia plans to build a China R&D centre as export limits...

AI Observer
News

OpenAI’s planned Abu Dhabi data center would be larger than Monaco

AI Observer
News

ChatGPT launches Codex, a new AI tool for software development

AI Observer
News

AI Agents Now Write Code in Parallel: OpenAI Introduces Codex, a...

AI Observer
News

Salesforce AI Releases BLIP3-o: A Fully Open-Source Unified Multimodal Model Built...

AI Observer

Featured

Education

Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for...

AI Observer
Education

ether0: A 24B LLM Trained with Reinforcement Learning RL for Advanced...

AI Observer
Uncategorized

IFC Eyes $10M Investment in Senegalese AI Health Startup KERA

AI Observer
News

OpenAI’s second largest paying market gets its own office: The South...

AI Observer
AI Observer

Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for...

Reinforcement Learning’s Role in Fine-Tuning LLMs Reinforcement learning has emerged as a powerful approach to fine-tune large language models (LLMs) for more intelligent behavior. These models are already capable of performing a wide range of tasks, from summarization to code generation. RL helps by adapting their outputs based on structured...