What is Pre-training?
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.
Why It Matters for AI Builders
Directly influences generalization rates and weight updates when custom-training models for foundation model preparation, neural language modeling, and image feature extraction pre-runs; managing Pre-training prevents models from memorizing dataset noise.
Detailed Deep Dive
Pre-training is the initial self-supervised phase of training a foundation model. The network is exposed to vast quantities of unlabeled text or image data (e.g., the internet) and trained on simple tasks like next-token prediction. This builds general cognitive, linguistic, and logical capabilities, which are subsequently fine-tuned for tasks.
Frequently Asked Questions
Q: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.
Q: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
Cite This Term
Reference this definition in your articles, research, or documentation to credit this source:
Pre-training Media Coverage & Intelligence
No Direct Pre-training News Today
We currently have no direct coverage articles matching "Pre-training". Explore trending global AI topics below instead.
Trending AI Stories
Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM
Learn how to deploy Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter open-weight model, on Amazon SageMaker HyperPod with vLLM. This walkthrough covers cluster...
Recreating a 70-year love story frame by frame
Discover how filmmakers and Google DeepMind used AI to recreate a couple's unrecorded past in the short film "Love, Rendered."
ICYMI: What landed for AI builders in August 2026
A recap of August 2026 launches for AI builders across Amazon Bedrock, Amazon Bedrock AgentCore, and Strands: million-token context for OpenAI models...
Simplify and support your TorchServe workloads using Ray Serve Deep Learning Containers
TorchServe is no longer maintained, leaving teams to own the entire GPU inference stack. The AWS Ray Serve Deep Learning Container is a supported, pre-tested...