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| 001. Introduction to Large Language Models (LLMs) and Prompt Engineering Introduction.en.srt |
1.68Кб |
| 001. Introduction to Large Language Models (LLMs) and Prompt Engineering Introduction.mp4 |
11.54Мб |
| 001. Introduction to Large Language Models (LLMs) and Prompt Engineering Summary.en.srt |
1.04Кб |
| 001. Introduction to Large Language Models (LLMs) and Prompt Engineering Summary.mp4 |
7.53Мб |
| 001. Topics.en.srt |
965б |
| 001. Topics.en.srt |
739б |
| 001. Topics.en.srt |
784б |
| 001. Topics.en.srt |
627б |
| 001. Topics.en.srt |
376б |
| 001. Topics.mp4 |
5.98Мб |
| 001. Topics.mp4 |
4.31Мб |
| 001. Topics.mp4 |
5.30Мб |
| 001. Topics.mp4 |
4.82Мб |
| 001. Topics.mp4 |
2.92Мб |
| 002. 1.1 What Are Large Language Models.en.srt |
10.82Кб |
| 002. 1.1 What Are Large Language Models.mp4 |
120.67Мб |
| 002. 2.1 Introduction to Semantic Search.en.srt |
17.92Кб |
| 002. 2.1 Introduction to Semantic Search.mp4 |
63.34Мб |
| 002. 3.1 Introduction to Prompt Engineering.en.srt |
31.80Кб |
| 002. 3.1 Introduction to Prompt Engineering.mp4 |
121.32Мб |
| 002. 4.1 Introduction to Retrival Augmented Generation (RAG).en.srt |
16.31Кб |
| 002. 4.1 Introduction to Retrival Augmented Generation (RAG).mp4 |
54.90Мб |
| 002. 5.1 InputOutput Validation.en.srt |
10.89Кб |
| 002. 5.1 InputOutput Validation.mp4 |
45.62Мб |
| 003. 1.2 Popular Modern LLMs.en.srt |
25.47Кб |
| 003. 1.2 Popular Modern LLMs.mp4 |
97.63Мб |
| 003. 2.2 Building a Semantic Search System.en.srt |
20.62Кб |
| 003. 2.2 Building a Semantic Search System.mp4 |
148.82Мб |
| 003. 3.2 Working with Prompts Across Models.en.srt |
5.41Кб |
| 003. 3.2 Working with Prompts Across Models.mp4 |
22.38Мб |
| 003. 4.2 Building a RAG Bot.en.srt |
22.15Кб |
| 003. 4.2 Building a RAG Bot.mp4 |
113.53Мб |
| 003. 5.2 Batch Prompting + Prompt Chaining.en.srt |
9.19Кб |
| 003. 5.2 Batch Prompting + Prompt Chaining.mp4 |
40.14Мб |
| 004. 1.3 Applications of LLMs.en.srt |
4.50Кб |
| 004. 1.3 Applications of LLMs.mp4 |
16.18Мб |
| 004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.en.srt |
35.42Кб |
| 004. 2.3 Optimizing Semantic Search with Cross-Encoders and Fine-Tuning.mp4 |
161.32Мб |
| 004. 3.3 Building a Retrieval-Augmented Generation Bot with ChatGPT and GPT-4.en.srt |
43.14Кб |
| 004. 3.3 Building a Retrieval-Augmented Generation Bot with ChatGPT and GPT-4.mp4 |
171.27Мб |
| 004. 4.3 Using Open Source Models with RAG.en.srt |
20.27Кб |
| 004. 4.3 Using Open Source Models with RAG.mp4 |
103.88Мб |
| 004. 5.3 Chain-of-Thought Prompting.en.srt |
17.91Кб |
| 004. 5.3 Chain-of-Thought Prompting.mp4 |
59.88Мб |
| 005. 4.4 Expanding into AI Agents.en.srt |
22.44Кб |
| 005. 4.4 Expanding into AI Agents.mp4 |
116.84Мб |
| 005. 5.4 Preventing Prompt Injection Attacks.en.srt |
5.79Кб |
| 005. 5.4 Preventing Prompt Injection Attacks.mp4 |
21.54Мб |
| 006. 5.5 Assessing an LLM's Encoded Knowledge Level.en.srt |
5.94Кб |
| 006. 5.5 Assessing an LLM's Encoded Knowledge Level.mp4 |
27.84Мб |
| Bonus Resources.txt |
70б |
| Get Bonus Downloads Here.url |
180б |