Pre-training
Pre-training is the initial phase of training an AI model on a massive general-purpose dataset (unsupervised or self-supervised), teaching the model basic syntax, grammar, and features before fine-tuning.
Frequently Asked Questions
What is the objective of pre-training in LLMs?▼
Typically next-token prediction or masked word guessing, which forces the model to learn grammatical structures, core facts, and general reasoning from text.
Why is pre-training followed by fine-tuning?▼
Pre-training creates a general-purpose model containing broad knowledge. Fine-tuning specializes that model on niche tasks, formats, and safety boundaries.
Quick Facts
- CategoryModel Training
- Key ApplicationFoundation model preparation, neural language modeling, and image feature extraction pre-runs.
Coverage Trend12 Weeks
Related AI Terms
Pre-training Media Coverage & Intelligence
No Direct Pre-training News Today
We currently have no direct coverage articles matching "Pre-training" in the database archive. Explore trending global AI topics below instead.
Trending AI Stories
A startup claims it broke through a bottleneck that's holding back LLMs
Miami-based AI startup Subquadratic came out of stealth mode last month with a huge claim. It announced that it had solved a mathematical bottleneck that had be
[AINews] GLM GPT? GLM-5.2 passes vibe check; Z.ai forecasts Open Fable by December
With GLM-5.2 passing everyone's vibe check, the open models story finally becomes a real frontier story.
Meta Quest Promo Codes and Coupons for June 2026
Experience cutting-edge VR and save up to 20% with coupons for the latest games, Meta Quest 3, Ray-Ban AI glasses, and more deals.
Fabrix.ai demonstrates production-grade agentic operations at Cisco Live
Artificial intelligence dominated headlines and keynotes at every event I've attended this year, including the recent Cisco Live 2026. Though the thirst for AI has been insatiable for a couple of years, customer feedback at the event showed that the era of AI curiosity has given way to AI urgency. I