AgentOps: Comprehensive AI Agent Monitoring and Debugging Platform
Discover AgentOps, a powerful Python SDK for monitoring, debugging, and optimizing AI agents with cost tracking, performance benchmarking, and security featu...
LLMOps
RAGHub: The Ultimate Community-Driven Directory for RAG Ecosystem Innovation
Discover RAGHub, a comprehensive collection of cutting-edge RAG frameworks, tools, and resources driving the future of Retrieval-Augmented Generation systems.
NVIDIA TensorRT Model Optimizer: Comprehensive LLMOps Guide for Production AI Deployment
Master NVIDIA’s TensorRT Model Optimizer for enterprise LLM deployment with quantization, pruning, and optimization techniques that reduce inference costs by...
SkyPilot: Revolutionary AI Workload Management Platform for Multi-Cloud Infrastructure
Comprehensive guide to SkyPilot - the unified platform for running, managing, and scaling AI workloads across Kubernetes, 17+ clouds, and on-premises infrast...
Fine-Tuning gpt-oss for Accuracy and Performance with Quantization Aware Training
Learn how to effectively fine-tune OpenAI’s gpt-oss model using supervised fine-tuning and quantization-aware training to maintain accuracy while leveraging ...
Yang Zhilin’s Vision: Building the Future of AI with Kimi and Long-Context Language Models
An in-depth exploration of Moonshot AI founder Yang Zhilin’s journey from NLP researcher to leading China’s long-context LLM revolution with Kimi Chat.
OpenAI HealthBench: Revolutionizing Medical AI Evaluation Through Collaborative LLMOps
Discover how OpenAI’s HealthBench transforms medical AI evaluation with 262 global doctors, 5,000 real conversations, and innovative LLMOps methodologies for...
Deep Understanding of GPU Scaling: Google DeepMind JAX Scaling Guide Analysis
From NVIDIA GPU architecture to networking and large language model training - comprehensive theoretical analysis for performance optimization of GPU-based M...
Beta9: Revolutionizing Serverless AI Infrastructure with Python-First Approach
Comprehensive guide to Beta9, an open-source serverless AI platform that simplifies ML workload deployment with fast container startup, scale-to-zero archite...
AI Agent Parallel Processing: Workflow Optimization with LangGraph and CrewAI
Learn how to efficiently perform complex tasks through parallel processing of AI Agents. Discover practical guides and performance optimization techniques us...
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
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