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Please note that this page does not hosts or makes available any of the listed filenames. You
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| 1. Continue your LlaMA AI model development journey.mp4 |
2.31MB |
| 1. Developing AI models using LLaMA.mp4 |
5.61MB |
| 1. Difference between LLaMA with commercial LLMs.mp4 |
15.58MB |
| 1. Fine-tuning LLaMA with a few examples.mp4 |
17.62MB |
| 1. Resources required to serve LLaMA.mp4 |
7.90MB |
| 1. The LLaMA architecture.mp4 |
5.91MB |
| 1. Using LLaMA online.mp4 |
3.09MB |
| 2. Few shot learning with LLaMA.mp4 |
20.75MB |
| 2. Fine-tuning LLaMA and freezing layers.mp4 |
27.64MB |
| 2. Quantizing LLaMA.mp4 |
17.50MB |
| 2. Running LLaMA in a notebook.mp4 |
28.46MB |
| 2. The LLaMA tokenizer.mp4 |
5.90MB |
| 3. Accessing LLaMA in an enterprise environment.mp4 |
7.19MB |
| 3. Chain of thought with LLaMA.mp4 |
12.41MB |
| 3. Fine-tuning with LLaMA using LoRa.mp4 |
26.63MB |
| 3. The LLaMA context window.mp4 |
4.17MB |
| 3. Using TGI for serving LLaMA.mp4 |
9.38MB |
| 4. Differences between LLaMA 1 and 2.mp4 |
4.81MB |
| 4. Reinforcement learning with RLHF and DPO.mp4 |
22.71MB |
| 4. Using schemas with LLaMA.mp4 |
11.78MB |
| 4. Using VLLM for serving LLaMA.mp4 |
28.37MB |
| 5. Fine-tuning larger LLaMA models.mp4 |
10.04MB |
| 5. Optimizing LLaMA prompts with DSPy.mp4 |
23.33MB |
| 5. Using DeepSpeed for serving LLaMA.mp4 |
24.28MB |
| 6. Challenge- Generating product tags.mp4 |
794.05KB |
| 6. Explaining LoRA and SLoRA.mp4 |
6.73MB |
| 7. Solution- Generating product tags.mp4 |
4.41MB |
| 7. Using a vendor for serving LLaMA.mp4 |
9.56MB |