News

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

AI Observer
News

Anthropic’s Claude AI is reportedly getting a two-way voice soon

AI Observer
News

ChatGPT burns tens of millions of Softbank dollars listening to you...

AI Observer
News

Today’s LLMs create exploits at lightning speed from patches

AI Observer
News

Netflix CEO says AI can make movies ‘10% better’

AI Observer
Computer Vision

Cyberpunk 2077 Ultimate Edition on Switch 2 uses DLSS

AI Observer
Computer Vision

Horizon Robotics, a Chinese company, offers Chery

AI Observer
AMD

BigQuery is 5x larger than Snowflake or Databricks. What Google is...

AI Observer
Anthropic

HONOR 400 Lite will be available from 25 April

AI Observer
Anthropic

Acer’s touchscreen AI Laptop with 16GB RAM is only $570

AI Observer
Anthropic

Samsung Galaxy A36 vs. Samsung Galaxy A35

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...