01.05
Pretraining vs post-training
Pretraining installs what the model knows and post-training installs how it behaves; reasoning models let you buy quality with extra thinking, and none of it makes the output deterministic.
- Making AI Product Decisions
- 16 min
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Who's hiring for this skill
30 companies have live AI-PM roles that ask for skills taught in this lesson.
- Nebius
- Anthropic
- Scale AI
- Intercom
- Rogo
- Writer
- Snowflake
- Harvey
- Asana
- Gusto
- Fireworks
- Mistral
- OpenAI
- Okta
- CoreWeave
- Cohere
- Coursera
- 1Password
- Deepgram
- Klaviyo
- Lightning Ai
- Luma AI
- Snorkel AI
- Speak
- Thinking Machines
- Drata
- Eve
- LangChain
- Plaid
Concepts in this subchapter
- Pretraining
- Post-Training
- Supervised Fine-Tuning
- RLHF
- Verifiable Rewards
- Reasoning Model
- Reasoning Tokens
- Reasoning Effort
- Knowledge Cutoff
- Nondeterminism
Source video: How language model post-training is done today, Interconnects AI.