In this video, I will show you how to create a dataset for fine-tuning Llama-2 using the code interpreter within GPT-4. We will create a dataset for creating a prompt given a concept. We will structure the dataset in proper format to fine tune a Llama-2 7B model using the HuggingFace auto train-advanced package.

Happy learning :)

#llama2 #finetune #llm

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LINKS:
One-liner fine-tuning of Llama2:    • LLAMA-2 🦙: EASIET WAY To FINE-TUNE ON...  
ChatGPT as Midjourney Prompt Generator:    • ChatGPT & MidJourney: One Prompt to T...  
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Timestamps:

Intro: [00:00]
Testing Vanila Llama2: [01:20]
Description of Dataset: [02:14]
Code Interpreter: [03:24]
Structure of the Dataset: [4:56]
Using Base model: [06:18]
Fine-tuning Llama2: [07:25]
Logging during training: [10:36]
Inference of the fine-tuned model: [12:44]
Output Examples: [14:36]
Things to Consider: [15:40]
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