**Fine-tune SmolLM's on custom synthetic data**
By
•
•
10
Community Articles
view all**Fine-tune SmolLM's on custom synthetic data**
By
•
•
10Building Effective Agents with Anthropic’s Best Practices and smolagents ❤️
By
•
•
3AI in 2025: A Combinatorial Explosion of Possibilities, but NOT AGI
By
•
•
1Superposition in Transformers: A Novel Way of Building Mixture of Experts
By
•
•
12**Building a System That Can Build Systems: Toward a Self-Replicating Ecosystem Framework**
By
•
•
1Fine-tune a SmolLM on domain-specific synthetic data from a LLM
By
•
•
10✴️ ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use
By
•
•
9Process Reinforcement through Implicit Rewards
By
•
•
9🐺🐦⬛ LLM Comparison/Test: DeepSeek-V3, QVQ-72B-Preview, Falcon3 10B, Llama 3.3 70B, Nemotron 70B in my updated MMLU-Pro CS benchmark
By
•
•
31Finetuning Falcon 7b in a hybrid distributed fashion
By
•
•
4Debate Championship for LLMs
By
•
•
4Fine-tune ModernBERT for text classification using synthetic data
By
•
•
19🦸🏻#2: Your Go-To Vocabulary to Navigate the World of AI Agents and Agentic Workflows
By
•
•
8Unlocking the Power of Reasoning: Introducing CriticalThinker-LLaMA-3.1-8B-GGUF and Its Groundbreaking Dataset
By
•
🦸🏻#1: Open-endedness and AI Agents – A Path from Generative to Creative AI?
By
•
•
5Deriving DPO's Loss
By
•
•
24🌁#81: Key AI Concepts to Follow in 2025
By
•
•
19Introducing KaibanJS v0.13.0: Structured Output for Smarter Workflows
By
•
•
1FineWeb2-C: Help Build Better Language Models in Your Language
By
•
•
11Tags generation dataset 🧠
By
•
•
3