Linkedin Prompt Engineering with LangChain |
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LLMs and Text Generation Training fine tuning and in context learning mp4 |
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Total Size |
1.4 GB |
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Total Files |
48 |
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Last Seen |
2025-04-10 01:20 |
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Hash |
9FEC447F8321D53AA89144C4BCE28E48F8C18B6B |
/3. LLMs and Text Generation/3. Training fine-tuning and in-context learning.mp4 |
11.2 MB |
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12.5 MB |
/3. LLMs and Text Generation/1. How do language models generate text.mp4 |
13.1 MB |
/3. LLMs and Text Generation/2. Base LLMs vs. instruction-tuned LLMs.mp4 |
36.7 MB |
/5. Basics of Prompting/2. Principles and tactics for prompting.mp4 |
32.2 MB |
/1. Introduction/1. Create powerful LLM driven applications.mp4 |
12.2 MB |
/4. Components of LangChain/5. Chains- Construct sequences of calls.mp4 |
78.4 MB |
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9.2 MB |
/6. Prompt Templates Deep Dive/8. Chat prompt pipelining.mp4 |
13.8 MB |
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59.6 MB |
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10.0 MB |
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27.0 MB |
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31.1 MB |
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4.4 MB |
/6. Prompt Templates Deep Dive/2. Multi-input prompt templates.mp4 |
21.4 MB |
Showing first 15 files of 48 total files |
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