How to Choose a GPU for Training and Deploying LLMs
Training and inference need different GPUs. Learn VRAM math, a VRAM-to-capability table, per-scenario picks, rent-vs-buy, and China-market caveats.
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How to Choose a Base Model for Chat: A Practical Selection Checklist
Picking the right base model matters more than picking the strongest one. Six criteria, the assistant-tone trap, and a 3-day bake-off.
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What Is SFT? A Practical Guide to Supervised Fine-Tuning Your Own Model
SFT is the first and most important step in training your own model. Learn dataset formats, assistant-only loss, and common pitfalls.
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How to Train an LLM: The Complete Path from Pretraining to Fine-Tuning
Training an LLM means more than feeding it data. Learn pretraining, SFT, and alignment, plus LoRA, QLoRA, RLHF, DPO, and distillation.
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