Uploaded October 2024 | Updated September 2026, 11 hours ago

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Download Llama models ➡️ go.fb.me/kbpn54

In this video, Hamid and Suraj explore the use of large language models (LLMs) for fine-tuning and synthetic data generation. The discussion includes insights on the importance of fine-tuning for adapting pre-trained models to specific domains or tasks, and how LLMs can be used to generate synthetic data that can augment existing datasets and improve model performance.

### Timestamps
00:00 Intro
00:22 Importance of fine-tuning
02:01 Curation of datasets
03:43 Synthetic data
13:30 Risks of model collapse?
17:23 Distillation
20:39 Real world applications
26:08 Industry trends and small models

### Additional Resources
• Llama Trust & Safety Tools: go.fb.me/nnttf9
• Llama 3.1 announcement: go.fb.me/aqm9pc
• Llama 3.2 announcement: go.fb.me/53h2fe

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