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01 - Introduction
01 - Developing AI models using LLaMA.mp4
3.24 MB
01 - Developing AI models using LLaMA.srt
1.03 KB
02 - 1. Introduction to LLaMA
01 - Using LLaMA online.mp4
2.38 MB
01 - Using LLaMA online.srt
1.89 KB
02 - Running LLaMA in a notebook.mp4
18.55 MB
02 - Running LLaMA in a notebook.srt
9.02 KB
03 - Accessing LLaMA in an enterprise environment.mp4
5.06 MB
03 - Accessing LLaMA in an enterprise environment.srt
2.83 KB
03 - 2. LLaMA Architecture
01 - The LLaMA architecture.mp4
4.98 MB
01 - The LLaMA architecture.srt
4.99 KB
02 - The LLaMA tokenizer.mp4
5.17 MB
02 - The LLaMA tokenizer.srt
6.32 KB
03 - The LLaMA context window.mp4
3.69 MB
03 - The LLaMA context window.srt
4.40 KB
04 - Differences between LLaMA 1 and 2.mp4
3.98 MB
04 - Differences between LLaMA 1 and 2.srt
4.13 KB
04 - 3. Fine-Tuning LLaMA
01 - Fine-tuning LLaMA with a few examples.mp4
11.99 MB
01 - Fine-tuning LLaMA with a few examples.srt
8.07 KB
02 - Fine-tuning LLaMA and freezing layers.mp4
19.12 MB
02 - Fine-tuning LLaMA and freezing layers.srt
11.94 KB
03 - Fine-tuning with LLaMA using LoRa.mp4
18.03 MB
03 - Fine-tuning with LLaMA using LoRa.srt
10.57 KB
04 - Reinforcement learning with RLHF and DPO.mp4
16.16 MB
04 - Reinforcement learning with RLHF and DPO.srt
9.80 KB
05 - Fine-tuning larger LLaMA models.mp4
7.23 MB
05 - Fine-tuning larger LLaMA models.srt
4.44 KB
05 - 4. Serving LLaMA
01 - Resources required to serve LLaMA.mp4
6.90 MB
01 - Resources required to serve LLaMA.srt
7.80 KB
02 - Quantizing LLaMA.mp4
12.03 MB
02 - Quantizing LLaMA.srt
7.07 KB
03 - Using TGI for serving LLaMA.mp4
6.74 MB
03 - Using TGI for serving LLaMA.srt
4.71 KB
04 - Using VLLM for serving LLaMA.mp4
19.77 MB
04 - Using VLLM for serving LLaMA.srt
9.38 KB
05 - Using DeepSpeed for serving LLaMA.mp4
16.20 MB
06 - Explaining LoRA and SLoRA.mp4
4.88 MB
06 - Explaining LoRA and SLoRA.srt
3.63 KB
07 - Using a vendor for serving LLaMA.mp4
7.27 MB
07 - Using a vendor for serving LLaMA.srt
4.85 KB
06 - 5. Prompting LLaMA
01 - Difference between LLaMA with commercial LLMs.mp4
11.03 MB
01 - Difference between LLaMA with commercial LLMs.srt
6.96 KB
02 - Few shot learning with LLaMA.mp4
15.01 MB
02 - Few shot learning with LLaMA.srt
9.14 KB
03 - Chain of thought with LLaMA.mp4
8.85 MB
03 - Chain of thought with LLaMA.srt
5.98 KB
04 - Using schemas with LLaMA.mp4
8.42 MB
04 - Using schemas with LLaMA.srt
4.71 KB
05 - Optimizing LLaMA prompts with DSPy.mp4
15.62 MB
05 - Optimizing LLaMA prompts with DSPy.srt
8.44 KB
06 - Challenge Generating product tags.mp4
683.34 KB
06 - Challenge Generating product tags.srt
0.73 KB
07 - Solution Generating product tags.mp4
2.99 MB
07 - Solution Generating product tags.srt
1.71 KB
07 - Conclusion
01 - Continue your LlaMA AI model development journey.mp4
1.56 MB
01 - Continue your LlaMA AI model development journey.srt
0.77 KB
Bonus Resources.txt
0.38 KB
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