Document Chunking for RAG: A Practical Guide2025/10/11By Ai Yun Shuin TechnologyBoost your RAG system's performance with our guide to document chunking. Explore strategies from recursive to semantic chunking with Python & LangChain code.document chunkingRAG chunkingchunking strategiestext chunkingRAGRetrieval-Augmented Generation
30x Faster LLM RL Training: The Checkpoint-Engine Story2025/9/15By Qing Ke Aiin TechnologyDiscover how the Checkpoint-Engine achieves a 30x speedup in LLM RL training. Learn about its innovative approach to parameter updates for large-scale RL.LLM RL trainingparameter updatecheckpoint-enginelarge-scale RL
Build a Llama-Style MoE Model From Scratch (Part 2)2025/9/9By Zheng Liin TechnologyLearn how to train a language model with this PyTorch training loop guide. Explore text generation, the AdamW optimizer, and Mixture of Experts models.train language modelpytorch training looptext generationAdamW optimizer
GRPO Training Pipeline: SFT to RL for Better Reasoning2025/9/5By Ning Si Aiin TechnologyLearn to implement a full GRPO training pipeline. This guide covers Supervised Fine-Tuning (SFT) with cold-start data, CoT prompting, and the GRPOTrainer.GRPO training pipelineSupervised Fine-Tuning (SFT)model reasoningReinforcement Learning (RL)
What is Knowledge Distillation in AI?2025/9/1By Chen Jin Shi Xue Aiin TechnologyLearn how knowledge distillation and model temperature work to train smaller, more efficient AI models. A key technique for LLM model compression.knowledge distillationmodel temperatureai model compressionlarge language models (LLMs)
AI Infrastructure: The Real Engine Behind AI Agents2025/8/20By Pingxingjiluin TechnologyStruggling with AI projects? The problem isn't your models, it's your AI infrastructure. Learn why data silos & lag hold you back and how to build a better f...AI infrastructureAI agentsdata-to-AI pipelineAI implementation
LLaMA Factory: Easy LLM Fine-Tuning Guide2025/8/6By Number in the Moutainin TechnologyLearn to install and use LLaMA Factory to fine-tune hundreds of LLMs on your local machine. This guide covers CUDA setup, installation, and WebUI usage.LLaMA FactoryLLM fine-tuningfine-tune LLMCUDA installation
PyTorch Memory Snapshot: A Guide to GPU Usage Analysis2025/7/28By Pandain Technology Monitoring **PyTorch GPU memory usage** during model training can be perplexing. To demystify this, we'll dive into the **PyTorch memory snapshot** tool, a powerful utility for detailed **GPU memory ...PyTorch memory snapshotGPU memory analysisPyTorch memory usagemixed-precision training
Baidu ERNIE 4.5: Multimodal Model Training & Fine-Tuning2025/7/18By Alexin Technology # Baidu ERNIE 4.5: Advancements in Multimodal Large Language Models Baidu's ERNIE 4.5 marks a major leap in artificial intelligence, especially in the development of **multimodal large language mode...ERNIE 4.5multimodal large language modelsBaidufine-tuning
Training a 671B LLM with Reinforcement Learning: Key...2025/7/9By Alexin TechnologyDiscover the technical challenges and solutions in training a 671B parameter LLM with Reinforcement Learning, covering frameworks, memory, and efficiency.671B parameter LLMReinforcement Learninglarge language model trainingMegatron
Bridging Traditional and AI Infrastructure: Key Differences2025/7/8By Alexin TechnologyDiscover how traditional infrastructure skills translate to AI infrastructure. Learn key concepts, differences, and engineering fundamentals for LLM systems.AI infrastructuretraditional infrastructuredistributed systemsGPU