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BT种子基本信息

种子哈希：c5b810a8a51fcf93fac544ce014a8ad60acbb6bf
文档大小：382.6 MB
文档个数：28个文档
下载次数：9067次
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收录时间：2024-05-15
最近下载：2025-05-16
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文档列表

2. Introduction to LLaMA/2. Running LLaMA in a notebook.mp4 29.8 MB
5. Serving LLaMA/4. Using VLLM for serving LLaMA.mp4 29.7 MB
4. Fine-Tuning LLaMA/2. Fine-tuning LLaMA and freezing layers.mp4 29.0 MB
4. Fine-Tuning LLaMA/3. Fine-tuning with LLaMA using LoRa.mp4 27.9 MB
5. Serving LLaMA/5. Using DeepSpeed for serving LLaMA.mp4 25.5 MB
6. Prompting LLaMA/5. Optimizing LLaMA prompts with DSPy.mp4 24.5 MB
4. Fine-Tuning LLaMA/4. Reinforcement learning with RLHF and DPO.mp4 23.8 MB
6. Prompting LLaMA/2. Few shot learning with LLaMA.mp4 21.8 MB
4. Fine-Tuning LLaMA/1. Fine-tuning LLaMA with a few examples.mp4 18.5 MB
5. Serving LLaMA/2. Quantizing LLaMA.mp4 18.4 MB
6. Prompting LLaMA/1. Difference between LLaMA with commercial LLMs.mp4 16.3 MB
6. Prompting LLaMA/3. Chain of thought with LLaMA.mp4 13.0 MB
6. Prompting LLaMA/4. Using schemas with LLaMA.mp4 12.3 MB
4. Fine-Tuning LLaMA/5. Fine-tuning larger LLaMA models.mp4 10.5 MB
5. Serving LLaMA/7. Using a vendor for serving LLaMA.mp4 10.0 MB
5. Serving LLaMA/3. Using TGI for serving LLaMA.mp4 9.8 MB
5. Serving LLaMA/1. Resources required to serve LLaMA.mp4 8.3 MB
2. Introduction to LLaMA/3. Accessing LLaMA in an enterprise environment.mp4 7.5 MB
5. Serving LLaMA/6. Explaining LoRA and SLoRA.mp4 7.1 MB
3. LLaMA Architecture/1. The LLaMA architecture.mp4 6.2 MB
3. LLaMA Architecture/2. The LLaMA tokenizer.mp4 6.2 MB
1. Introduction/1. Developing AI models using LLaMA.mp4 5.9 MB
3. LLaMA Architecture/4. Differences between LLaMA 1 and 2.mp4 5.0 MB
6. Prompting LLaMA/7. Solution- Generating product tags.mp4 4.6 MB
3. LLaMA Architecture/3. The LLaMA context window.mp4 4.4 MB
2. Introduction to LLaMA/1. Using LLaMA online.mp4 3.2 MB
7. Conclusion/1. Continue your LlaMA AI model development journey.mp4 2.4 MB
6. Prompting LLaMA/6. Challenge- Generating product tags.mp4 813.1 kB