NLP & Language · advanced · concept 144 of 311 · Updated Nov 4, 2026
Fine-Tuning LLMs
Adapting a pretrained LLM to a specific task or domain by training on additional data. LoRA and QLoRA enable efficient fine-tuning by only updating a small fraction of parameters.
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Top AI contributors on this
- Dario AmodeiAnthropic
- Sam AltmanOpenAI
- Jeff DeanDiscovery Loop
- Noam ShazeerOpenAI
- Alec RadfordIndependent / Thinking Machines Lab (adviser)
- Oriol VinyalsDiscovery Loop
Key terms
LoRAQLoRAPEFTInstruction tuningAdapter layers
Learn these first
Videos
▶ [1hr Talk] Intro to Large Language Models ↗
Andrej Karpathy · YouTube
▶ Is Fine-Tuning Still Needed? LLMs, RAG, & LoRA ↗
IBM Technology · YouTube
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