Top 10 Reinforcement Learning Post-Training Research Trends 2025: From GLM-4.5 to RLUF
In-depth analysis of 10 key research papers in reinforcement learning post-training since April 2025, providing practical insights for real-world applications
LLMOps
Kimi K2 Technical Report In-Depth Analysis: 1 Trillion Parameter MoE Architecture for Agentic Intelligence
Comprehensive analysis of MoonshotAI’s Kimi K2 technical report examining MuonClip optimizer, large-scale synthetic data pipeline, and core innovations in ne...
NVIDIA LLaMA NemoRetriever ColEmbed 3B v1 Complete Guide
Comprehensive analysis of NVIDIA’s groundbreaking multimodal embedding model achieving #1 performance on ViDoRe V1, V2, and MTEB Visual Document Retrieval be...
Skywork-SWE-32B: The Most Cost-Effective Software Engineering AI Agent Complete Guide
Comprehensive analysis of Skywork-SWE-32B achieving 38% performance on SWE-bench, offering exceptional value for software engineering tasks with practical de...
NVIDIA AceReason-Nemotron-1.1-7B: Advanced Mathematical and Coding Reasoning Through SFT and RL Synergy
Comprehensive analysis of NVIDIA’s latest reasoning model built on Qwen2.5-Math-7B, achieving record-breaking performance on AIME 2024/2025 and LiveCodeBench...
NVIDIA OpenMathReasoning: Large-Scale Mathematical Reasoning Dataset Behind AIMO-2 Winning Model
Complete analysis of OpenMathReasoning dataset with 306K math problems and 5.68M solutions - CoT, TIR, GenSelect methodologies and OpenMath-Nemotron series p...
NVIDIA OpenCodeReasoning: Largest Reasoning-Based Coding Dataset for Competitive Programming
Complete analysis of OpenCodeReasoning with 735K samples and 28K problems - R1 model-based synthetic data, 10 major platforms integrated, SFT optimized
NVIDIA AceReason-1.1-SFT: Comprehensive Guide to Math & Code Reasoning Specialized SFT Dataset
Detailed analysis of NVIDIA’s AceReason-1.1-SFT dataset - CC BY 4.0 license, 4M samples, DeepSeek-R1 based high-quality math and code reasoning data
Evaluating 100+ LLM Models with Just API Calls Using Evalchemy: Complete No-Installation Benchmark Guide
Learn how to evaluate 100+ API models including GPT-4o, Claude-3, and Gemini without installation using the Evalchemy + Curator + LiteLLM combination
Free LLM Fine-Tuning: Complete Guide to Unsloth Notebooks
Comprehensive guide to fine-tuning LLMs for free using Unsloth Notebooks. Over 100 Jupyter notebooks for Google Colab and Kaggle covering Qwen, Llama, Gemma,...
Essential Collection for AI Developers: Awesome LLM Apps
Discover a curated collection of LLM applications utilizing RAG, AI agents, multi-agent teams, MCP, and voice agents. A comprehensive resource for practical ...
NVIDIA DeepSeek-R1 FP4: Revolutionary 4-bit Quantized Language Model Complete Guide
Comprehensive analysis of NVIDIA’s groundbreaking DeepSeek-R1-0528-FP4 model featuring 4-bit floating-point quantization, 1.6x memory reduction, and optimize...
NeMo QAT Complete Guide: Maximizing FP4 Model Accuracy Through Quantization-Aware Training
Professional guide to minimizing accuracy loss during FP4 quantization using NVIDIA NeMo’s Quantization-Aware Training. From practical implementation to opti...
Blackwell GPU 4-Bit Inference: Why You Need It and How to Get Started 🚀
Maximize AI performance and dramatically reduce costs with NVIDIA Blackwell architecture’s FP4 inference. Complete guide from DeepSeek-R1’s world record achi...
Unsloth: Revolutionary Framework That Makes LLM Fine-Tuning 2x Faster While Saving 80% Memory
Fine-tune Qwen3, Llama 4, and Gemma 3 at 2x speed while saving up to 80% VRAM. OpenAI Triton-based optimization engine with zero accuracy loss
TRL: Hugging Face’s Next-Generation LLM Post-Training Framework Complete Guide
Master cutting-edge reinforcement learning techniques including SFT, DPO, GRPO, and PPO for Transformer model post-training. A comprehensive library supporti...
PEFT: Revolutionary Technology That Achieves Full Fine-Tuning Performance by Training Only 0.2% of Parameters
Save 80% memory while maintaining performance with cutting-edge PEFT techniques including LoRA, AdaLoRA, and IA3. Applicable to all models from Llama to BERT...
DeepSeek-R1 Complete Reproduction Guide: 2-Stage RL + 2-Stage SFT + Distillation Pipeline
Step-by-step complete reproduction of DeepSeek-R1’s official training pipeline. From reinforcement learning to knowledge distillation - a comprehensive imple...
LLaMA Factory: The Unified LLM Framework That Fine-Tunes 100+ Models with a Single Line of Code
Fine-tune Llama 3, Qwen 3, DeepSeek, and 100+ cutting-edge LLMs effortlessly. An open-source framework integrating LoRA/QLoRA, FSDP, Flash-Attention 2, and t...
DeepEval: A Comprehensive LLM Evaluation Framework for Production-Ready AI Systems
DeepEval revolutionizes LLM system evaluation with comprehensive metrics, red-teaming capabilities, and seamless integration with existing MLOps workflows