Announcing NVIDIA Cosmos World Foundation Models
mingyuliutw
• • 28NEW Articles from Team or Enterprise organizations will get promoted to the main section.
How to Automate Reddit Comment Generation with AI Agents in KaibanJS
darielnoel
• • 5Fine-tune SmolLM's on custom synthetic data
prithivMLmods
• • 20Building Effective Agents with Anthropic’s Best Practices and smolagents ❤️
Sri-Vigneshwar-DJ
• • 9AI in 2025: A Combinatorial Explosion of Possibilities, but NOT AGI
Kseniase
• • 3Superposition in Transformers: A Novel Way of Building Mixture of Experts
BenChaliah
• • 13Building a System That Can Build Systems: Toward a Self-Replicating Ecosystem Framework
adityagaharawar
• • 1Fine-tune a SmolLM on domain-specific synthetic data from a LLM
davidberenstein1957
• • 38✴️ ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use
Ziyang
• • 28Process Reinforcement through Implicit Rewards
ganqu
• • 31🐺🐦⬛ LLM Comparison/Test: DeepSeek-V3, QVQ-72B-Preview, Falcon3 10B, Llama 3.3 70B, Nemotron 70B in my updated MMLU-Pro CS benchmark
wolfram
• • 41Finetuning Falcon 7b in a hybrid distributed fashion
Neo111x
• • 5Debate Championship for LLMs
as-cle-bert
• • 4Fine-tune ModernBERT for text classification using synthetic data
davidberenstein1957
• • 39🦸🏻#2: Your Go-To Vocabulary to Navigate the World of AI Agents and Agentic Workflows
Kseniase
• • 10Unlocking the Power of Reasoning: Introducing CriticalThinker-LLaMA-3.1-8B-GGUF and Its Groundbreaking Dataset
theeseus-ai
• • 1🦸🏻#1: Open-endedness and AI Agents – A Path from Generative to Creative AI?
Kseniase
• • 16Deriving DPO's Loss
hba123
• • 30🌁#81: Key AI Concepts to Follow in 2025
Kseniase
• • 24Introducing KaibanJS v0.13.0: Structured Output for Smarter Workflows
darielnoel
• • 1