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Aug 18 (edited) • General Discussion 💬
📒 AI Terms Daily Dose: Fine-Tuning
Term: Fine-Tuning
Day: 8
Level: Fluency
Category: Learning & Models
🪄 Simple Definition:
Adjusting a pre-trained AI model with new, smaller sets of data to make it perform better for a specific task.
🌟 Expanded Definition:
Fine-tuning is the process of taking a large, general-purpose AI model and continuing its training with domain-specific data. This allows the model to adapt to specialized use cases (like legal, medical, or retail applications) without retraining from scratch. It’s cost-effective, faster, and delivers more relevant outputs.
⚡ In Action:
A healthcare startup fine-tunes a general language model with anonymized clinical notes so the AI can generate patient summaries that use the right medical terminology.
💡 AIS+ Pro Tip:
Fine-tuning isn’t always the best first step. Start with Prompt Engineering or RAG (Retrieval-Augmented Generation) — then consider fine-tuning when you need highly domain-specific responses.
🔍To find all posted terms, simply search for the phrase “Daily Dose” in the AIS+ community.
Get started with the AI Terms Daily Dose:
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📚 AI Terms Everyone Should Know Series
Your complete guide to mastering AI vocabulary, from basics to advanced, with context and real-world examples by @Michael Wacht
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📒 AI Terms Daily Dose: Fine-Tuning
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