Tag

fine tuning

All blog posts with this tag.

29 Sept 2026
JSONL, shards, and the path to the GPU: from one line to training
How large training sets are laid out: JSON vs JSONL, shards, compression, tokens, batches, and epochs — and why a terabyte of data does not need a terabyte of RAM.
data engineering datasets fine tuning machine learning ml dataset engineering
6 Sept 2026
SFT datasets: how to design a supervised fine-tuning corpus
A pillar guide to supervised fine-tuning corpora: instruction→answer contracts, coverage, refusals, synthetic vs expert sources, pre-train gates, and eval leakage.
datasets fine tuning machine learning ml dataset engineering sft
2 Sept 2026
Dataset engineering for model training: where to start
A pillar guide to data for training and evaluating AI: golden records, golden editors, train/eval splits, leakage, manifests, and parameters by task and domain.
datasets evaluation fine tuning machine learning ml dataset engineering
25 Aug 2026
How LLMs Are Trained: Pretraining, Fine-Tuning, LoRA, RAG, and Agents
A practical map of LLM adaptation: what changes model weights, what plugs in knowledge and tools, and how to choose an approach without “fine-tuning on PDFs.”
AI architecture fine tuning llm rag Tutorial
10 Jul 2026
When Fine-Tuning a Model Is Actually Needed
How to separate enterprise knowledge from model behavior and decide when fine-tuning is worth the operational cost.
ai enterprise architect enterprise ai fine tuning rag security