Linkedin - LLaMa for Developers
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Course details In this course, learn how to customize open-source AI models with one of the most common open-source models, LLaMa (Large Language Model Meta AI). Instructor Denys Linkov shares a hands-on approach to working with LLaMa, explaining LLaMa architecture, prompting, deploying, and training models. He uses a series of Python notebooks to show you how to adapt LLaMa to your use cases and employ it in an enterprise or startup environment
| 1. Introduction/1. Developing AI models using LLaMA.mp4 | 5.61 MiB |
| 2. Introduction to LLaMA/1. Using LLaMA online.mp4 | 3.09 MiB |
| 2. Introduction to LLaMA/2. Running LLaMA in a notebook.mp4 | 28.46 MiB |
| 2. Introduction to LLaMA/3. Accessing LLaMA in an enterprise environment.mp4 | 7.19 MiB |
| 3. LLaMA Architecture/1. The LLaMA architecture.mp4 | 5.91 MiB |
| 3. LLaMA Architecture/2. The LLaMA tokenizer.mp4 | 5.9 MiB |
| 3. LLaMA Architecture/3. The LLaMA context window.mp4 | 4.17 MiB |
| 3. LLaMA Architecture/4. Differences between LLaMA 1 and 2.mp4 | 4.81 MiB |
| 4. Fine-Tuning LLaMA/1. Fine-tuning LLaMA with a few examples.mp4 | 17.62 MiB |
| 4. Fine-Tuning LLaMA/2. Fine-tuning LLaMA and freezing layers.mp4 | 27.64 MiB |
| 4. Fine-Tuning LLaMA/3. Fine-tuning with LLaMA using LoRa.mp4 | 26.63 MiB |
| 4. Fine-Tuning LLaMA/4. Reinforcement learning with RLHF and DPO.mp4 | 22.71 MiB |
| 4. Fine-Tuning LLaMA/5. Fine-tuning larger LLaMA models.mp4 | 10.04 MiB |
| 5. Serving LLaMA/1. Resources required to serve LLaMA.mp4 | 7.9 MiB |
| 5. Serving LLaMA/2. Quantizing LLaMA.mp4 | 17.5 MiB |
| 5. Serving LLaMA/3. Using TGI for serving LLaMA.mp4 | 9.38 MiB |
| 5. Serving LLaMA/4. Using VLLM for serving LLaMA.mp4 | 28.37 MiB |
| 5. Serving LLaMA/5. Using DeepSpeed for serving LLaMA.mp4 | 24.28 MiB |
| 5. Serving LLaMA/6. Explaining LoRA and SLoRA.mp4 | 6.73 MiB |
| 5. Serving LLaMA/7. Using a vendor for serving LLaMA.mp4 | 9.56 MiB |
| 6. Prompting LLaMA/1. Difference between LLaMA with commercial LLMs.mp4 | 15.58 MiB |
| 6. Prompting LLaMA/2. Few shot learning with LLaMA.mp4 | 20.75 MiB |
| 6. Prompting LLaMA/3. Chain of thought with LLaMA.mp4 | 12.41 MiB |
| 6. Prompting LLaMA/4. Using schemas with LLaMA.mp4 | 11.78 MiB |
| 6. Prompting LLaMA/5. Optimizing LLaMA prompts with DSPy.mp4 | 23.33 MiB |
| 6. Prompting LLaMA/6. Challenge- Generating product tags.mp4 | 794.05 KiB |
| 6. Prompting LLaMA/7. Solution- Generating product tags.mp4 | 4.41 MiB |
| 7. Conclusion/1. Continue your LlaMA AI model development journey.mp4 | 2.31 MiB |
