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Lessons > Build a Custom Dataset for Instruction Tuning

Build a Custom Dataset for Instruction Tuning

Course Content
Day 1
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Environment Setup + HuggingFace CLI Task
Day 2
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Load a Dataset + Tokenize It
Day 3
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Fine-Tune a DistilBERT Model for Classification
Day 4
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Evaluate & Push Model to HuggingFace Hub
Day 5
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Build & Deploy a Gradio App
Day 6
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Prompt Tuning vs Fine-Tuning
Day 7
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Fine-Tune a T5 or GPT2 Model for Text Generation
Day 8
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Build a Custom Dataset for Instruction Tuning
Day 9
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Train with LoRA (Low-Rank Adaptation)
Day 10
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Capstone Task: Deploy an LLM API
LLM Fine-Tuning – Practical, Task-Based Course

Format a small instruction-following dataset ({prompt, response} format). Tokenize and prepare it for fine-tuning flan-t5.

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