NEW Articles from Team or Enterprise organizations will get promoted to the main section. AI Labs Must Resist Age Verification
Clock070303
• • 4
Introducing AutoBench 2.0: Our New Benchmarking Platform is Out Just in Time to Evaluate GPT 5.2.
PeterKruger
• • 1
cua-bench: A Framework for Benchmarking, Training Data, and RL Environments for Computer-Use Agents
cua-ai
• • 13
Spinning Up a CPU-Only Micro-LLM with LoRA for Literary Style
salakash
• • 22
Phare LLM benchmark V2: Reasoning models don't guarantee better security
davidberenstein1957
• • 10
Qwen-Image-i2L: Training Strategies for Image-to-LoRA Generation
kelseye
• • 59
Training strategies of Z-Image-Turbo
kelseye
• • 7
I built a spot market for bare metal GPUs (and how to get A100s for $0.38/hr)
JackJackJ
• • 2
testing
Introducing txtai, the all-in-one AI framework
Nemotron 3 Nano \- A new Standard for Efficient, Open, and Intelligent Agentic Models
nvidia
• • 114
ToolSEE: Tool Retrieval for Scalable Agents
prane-eth
• • 1
EuroLLM-22B
eurollm-team
• • 56
GPU Efficiency in VLAI Model Training
cedricbonhomme
• 🧠 Teaching AI to "Think" with Images through Self-Calling
ywenxi
• • 1
Why I Refuse to Issue Proof Before Storage Is Durable
AmosTipton
• Complete Guide: Training and Inference with π₀.₅ (pi05) on Custom Datasets
One Politically-Salient Entity Broke My Guardrail Pipeline (Flash 2.5 “Trump/Sanders” case study)
martinsu
• • 3
🤖 AI 美女,咋都长一个样儿?用 Z-Image-Turbo 跑了一万张图,发现大秘密!
Gboo2023
• • 1
Hyperparameter optimisation with Optuna and Claude Code on Hugging Face Jobs
chrisvoncsefalvay
• • 3