Linkedin LLaMa for Developers
Seeders : 26 Leechers : 0
| Torrent Hash : | C5B810A8A51FCF93FAC544CE014A8AD60ACBB6BF |
| Torrent Added : | at May 14, 2024, 7:10 p.m. in Other |
| Torrent Size : | 364.9 MB |
Note :
Please Update (Trackers Info) Before Start " Linkedin LLaMa for Developers" Torrent Downloading to See Updated Seeders And Leechers for Batter Torrent Download Speed.Torrent File Content (3 files)
Linkedin LLaMa for Developers
1. Developing AI models using LLaMA.mp4 -
1. Using LLaMA online.mp4 -
2. Running LLaMA in a notebook.mp4 -
3. Accessing LLaMA in an enterprise environment.mp4 -
1. The LLaMA architecture.mp4 -
2. The LLaMA tokenizer.mp4 -
3. The LLaMA context window.mp4 -
4. Differences between LLaMA 1 and 2.mp4 -
1. Fine-tuning LLaMA with a few examples.mp4 -
2. Fine-tuning LLaMA and freezing layers.mp4 -
3. Fine-tuning with LLaMA using LoRa.mp4 -
4. Reinforcement learning with RLHF and DPO.mp4 -
5. Fine-tuning larger LLaMA models.mp4 -
1. Resources required to serve LLaMA.mp4 -
2. Quantizing LLaMA.mp4 -
3. Using TGI for serving LLaMA.mp4 -
4. Using VLLM for serving LLaMA.mp4 -
5. Using DeepSpeed for serving LLaMA.mp4 -
6. Explaining LoRA and SLoRA.mp4 -
7. Using a vendor for serving LLaMA.mp4 -
1. Difference between LLaMA with commercial LLMs.mp4 -
2. Few shot learning with LLaMA.mp4 -
3. Chain of thought with LLaMA.mp4 -
4. Using schemas with LLaMA.mp4 -
5. Optimizing LLaMA prompts with DSPy.mp4 -
6. Challenge- Generating product tags.mp4 -
7. Solution- Generating product tags.mp4 -
1. Continue your LlaMA AI model development journey.mp4 -
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1. Developing AI models using LLaMA.mp4 -
5.6 MB
1. Using LLaMA online.mp4 -
3.1 MB
2. Running LLaMA in a notebook.mp4 -
28.5 MB
3. Accessing LLaMA in an enterprise environment.mp4 -
7.2 MB
1. The LLaMA architecture.mp4 -
5.9 MB
2. The LLaMA tokenizer.mp4 -
5.9 MB
3. The LLaMA context window.mp4 -
4.2 MB
4. Differences between LLaMA 1 and 2.mp4 -
4.8 MB
1. Fine-tuning LLaMA with a few examples.mp4 -
17.6 MB
2. Fine-tuning LLaMA and freezing layers.mp4 -
27.6 MB
3. Fine-tuning with LLaMA using LoRa.mp4 -
26.6 MB
4. Reinforcement learning with RLHF and DPO.mp4 -
22.7 MB
5. Fine-tuning larger LLaMA models.mp4 -
10.0 MB
1. Resources required to serve LLaMA.mp4 -
7.9 MB
2. Quantizing LLaMA.mp4 -
17.5 MB
3. Using TGI for serving LLaMA.mp4 -
9.4 MB
4. Using VLLM for serving LLaMA.mp4 -
28.4 MB
5. Using DeepSpeed for serving LLaMA.mp4 -
24.3 MB
6. Explaining LoRA and SLoRA.mp4 -
6.7 MB
7. Using a vendor for serving LLaMA.mp4 -
9.6 MB
1. Difference between LLaMA with commercial LLMs.mp4 -
15.6 MB
2. Few shot learning with LLaMA.mp4 -
20.8 MB
3. Chain of thought with LLaMA.mp4 -
12.4 MB
4. Using schemas with LLaMA.mp4 -
11.8 MB
5. Optimizing LLaMA prompts with DSPy.mp4 -
23.3 MB
6. Challenge- Generating product tags.mp4 -
794.1 KB
7. Solution- Generating product tags.mp4 -
4.4 MB
1. Continue your LlaMA AI model development journey.mp4 -
2.3 MB
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| Torrent Name | Added | Size | Seed | Leech | Health |
|---|---|---|---|---|---|
| 2024-05-14 | 364.9 MB | 26 | 0 | ||
| 2024-04-26 | 257.7 MB | 0 | 3 |
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