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Fine-tuning Large Language Models (LLMs) | w/ Full Code
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We use a fictional company called Cubetriangle and design the pipeline to process its raw data, #finetune 3 large language models (#LLM) on it, and design a #chatbot using the best model.
00:00:17 Presentation (Key concepts)
00:02:39 #llama2 Pre-trained vs llama2-chat (fine-tuned) models
00:13:22 Fine-tuning schema
00:14:22 CubeTriangle data description
00:17:21 Data processing (first step)
00:21:56 Data processing (second step)
00:32:19 Fine-tuning tutorial
00:53:54 1.5 billion vs 3billion parameter llms
01:09:30 Chatbot schema
01:10:41 Chatbot implementation
01:13:03 Chatbot demo
01:18:10 Wrap up
The models that I used in this video are:
Key #python libraries:
#huggingface #transformer #torch #openai #chainlit
00:00:17 Presentation (Key concepts)
00:02:39 #llama2 Pre-trained vs llama2-chat (fine-tuned) models
00:13:22 Fine-tuning schema
00:14:22 CubeTriangle data description
00:17:21 Data processing (first step)
00:21:56 Data processing (second step)
00:32:19 Fine-tuning tutorial
00:53:54 1.5 billion vs 3billion parameter llms
01:09:30 Chatbot schema
01:10:41 Chatbot implementation
01:13:03 Chatbot demo
01:18:10 Wrap up
The models that I used in this video are:
Key #python libraries:
#huggingface #transformer #torch #openai #chainlit
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