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Fine-tuning Llama 2 on Your Own Dataset | Train an LLM for Your Use Case with QLoRA on a Single GPU
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Learn how to fine-tune the Llama 2 7B base model on a custom dataset (using a single T4 GPU). We'll use the QLoRa technique to train an LLM for text summarization of conversations between support agents and customers over Twitter.
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00:00 - When to Fine-tune an LLM?
00:30 - Fine-tune vs Retrieval Augmented Generation (Custom Knowledge Base)
03:38 - Text Summarization (our example)
04:47 - Dataset Selection
05:36 - Choose a Model (Llama 2)
06:22 - Google Colab Setup
07:26 - Process data
10:08 - Load Llama 2 Model & Tokenizer
11:18 - Training
14:49 - Compare Base Model with Fine-tuned Model
18:08 - Conclusion
#llama2 #llm #promptengineering #chatgpt #chatbot #langchain #gpt4 #summarization
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