Linkedin - LLaMa for Developers
File List
- 2. Introduction to LLaMA/2. Running LLaMA in a notebook.mp4 28.5 MB
- 5. Serving LLaMA/4. Using VLLM for serving LLaMA.mp4 28.4 MB
- 4. Fine-Tuning LLaMA/2. Fine-tuning LLaMA and freezing layers.mp4 27.6 MB
- 4. Fine-Tuning LLaMA/3. Fine-tuning with LLaMA using LoRa.mp4 26.6 MB
- 5. Serving LLaMA/5. Using DeepSpeed for serving LLaMA.mp4 24.3 MB
- 6. Prompting LLaMA/5. Optimizing LLaMA prompts with DSPy.mp4 23.3 MB
- 4. Fine-Tuning LLaMA/4. Reinforcement learning with RLHF and DPO.mp4 22.7 MB
- 6. Prompting LLaMA/2. Few shot learning with LLaMA.mp4 20.8 MB
- 4. Fine-Tuning LLaMA/1. Fine-tuning LLaMA with a few examples.mp4 17.6 MB
- 5. Serving LLaMA/2. Quantizing LLaMA.mp4 17.5 MB
- 6. Prompting LLaMA/1. Difference between LLaMA with commercial LLMs.mp4 15.6 MB
- 6. Prompting LLaMA/3. Chain of thought with LLaMA.mp4 12.4 MB
- 6. Prompting LLaMA/4. Using schemas with LLaMA.mp4 11.8 MB
- 4. Fine-Tuning LLaMA/5. Fine-tuning larger LLaMA models.mp4 10.0 MB
- 5. Serving LLaMA/7. Using a vendor for serving LLaMA.mp4 9.6 MB
- 5. Serving LLaMA/3. Using TGI for serving LLaMA.mp4 9.4 MB
- 5. Serving LLaMA/1. Resources required to serve LLaMA.mp4 7.9 MB
- 2. Introduction to LLaMA/3. Accessing LLaMA in an enterprise environment.mp4 7.2 MB
- 5. Serving LLaMA/6. Explaining LoRA and SLoRA.mp4 6.7 MB
- 3. LLaMA Architecture/1. The LLaMA architecture.mp4 5.9 MB
- 3. LLaMA Architecture/2. The LLaMA tokenizer.mp4 5.9 MB
- 1. Introduction/1. Developing AI models using LLaMA.mp4 5.6 MB
- 3. LLaMA Architecture/4. Differences between LLaMA 1 and 2.mp4 4.8 MB
- 6. Prompting LLaMA/7. Solution- Generating product tags.mp4 4.4 MB
- 3. LLaMA Architecture/3. The LLaMA context window.mp4 4.2 MB
- 2. Introduction to LLaMA/1. Using LLaMA online.mp4 3.1 MB
- 7. Conclusion/1. Continue your LlaMA AI model development journey.mp4 2.3 MB
- 6. Prompting LLaMA/6. Challenge- Generating product tags.mp4 794.1 KB
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