Общая информация
Название LangChain MasterClass-Develop 7 OpenAI LLM Apps using Python
Тип Приложение для PC
Размер 2.52Гб

Файлы в торренте
Обратите внимание, что наш сайт не размещает какие-либо файлы из списка. Вы не можете скачать эти файлы или скачать torrent-файл.
[TGx]Downloaded from torrentgalaxy.to .txt 585б
0 11б
1 38б
1.1 app - version 1.py 3.28Кб
1.1 Memory Module.ipynb 369.25Кб
1. A LangChain Example - Implementation Demo.mp4 52.98Мб
1. A LangChain Example - Implementation Demo.srt 9.93Кб
1. ChatGPT Clone Demo.mp4 8.20Мб
1. ChatGPT Clone Demo.srt 2.19Кб
1. Chat Model Walkthrough.mp4 9.18Мб
1. Chat Model Walkthrough.srt 2.19Кб
1. Convert Jupyter Notebook to Python Script.mp4 100.77Мб
1. Convert Jupyter Notebook to Python Script.srt 12.09Кб
1. Importance of Memory in LLM powered Apps.mp4 144.06Мб
1. Importance of Memory in LLM powered Apps.srt 20.31Кб
1. LangChain's Modules Overview.mp4 6.15Мб
1. LangChain's Modules Overview.srt 1.10Кб
1. LLMs Walkthrough.mp4 27.16Мб
1. LLMs Walkthrough.srt 5.29Кб
1. Prompts Module Introduction.mp4 18.81Мб
1. Prompts Module Introduction.srt 4.31Кб
1. Text Embedding Walkthrough.mp4 34.11Мб
1. Text Embedding Walkthrough.srt 8.09Кб
1. What is LangChain.mp4 45.74Мб
1. What is LangChain.srt 6.51Кб
1. What is OpenAI.mp4 54.01Мб
1. What is OpenAI.srt 7.91Кб
10 49.21Кб
11 502.19Кб
12 335.83Кб
13 6.26Кб
14 397.83Кб
15 52.29Кб
16 455.42Кб
17 503.84Кб
18 314.28Кб
19 24.36Кб
2 2.66Кб
2.1 app - version 2.py 3.89Кб
2.1 Chat Model Practical Implementation using Python.zip 3.37Кб
2.1 Embeddings Practical Implementation using Python.zip 16.71Кб
2.1 LLM Practical Implementation using Python.zip 3.09Кб
2.1 Memory Module.ipynb 369.25Кб
2.1 Prompt Template Implementation Using Python.ipynb 15.40Кб
2. Anaconda Installation.mp4 33.20Мб
2. Anaconda Installation.srt 6.38Кб
2. Building the App's frontend.mp4 47.69Мб
2. Building the App's frontend.srt 6.49Кб
2. Chat Model Practical Implementation using Python.mp4 77.61Мб
2. Chat Model Practical Implementation using Python.srt 13.99Кб
2. Different Types of Memory.mp4 183.06Мб
2. Different Types of Memory.srt 18.69Кб
2. Let's understand the LangChain benefits.mp4 37.60Мб
2. Let's understand the LangChain benefits.srt 6.02Кб
2. LLM Practical Implementation using Python.mp4 91.94Мб
2. LLM Practical Implementation using Python.srt 13.58Кб
2. OpenAI API Key Generation.mp4 36.65Мб
2. OpenAI API Key Generation.srt 5.60Кб
2. Prompt Template Walkthrough.mp4 127.21Мб
2. Prompt Template Walkthrough.srt 19.77Кб
2. Setting up the Project.mp4 43.09Мб
2. Setting up the Project.srt 4.22Кб
2. Text Embeddings Practical Implementation using Python.mp4 43.89Мб
2. Text Embeddings Practical Implementation using Python.srt 5.34Кб
20 316.59Кб
21 264.47Кб
22 115.91Кб
23 420.40Кб
24 209.72Кб
25 245.41Кб
26 411.32Кб
27 310.29Кб
28 358.88Кб
29 242.34Кб
3 80.54Кб
3.1 app - version 3.py 4.11Кб
3.1 Embeddings Example using Python.zip 18.40Кб
3.1 Example Selectors Implementation Using Python.ipynb 28.60Кб
3.1 Let's Build Simple Conversational Application.zip 1.86Кб
3. Embeddings Example using Python.mp4 147.72Мб
3. Embeddings Example using Python.srt 16.54Кб
3. Example Selectors Walkthrough.mp4 132.71Мб
3. Example Selectors Walkthrough.srt 16.14Кб
3. Implementing the Frontend.mp4 71.95Мб
3. Implementing the Frontend.srt 9.58Кб
3. Integration of Frontend & Backend.mp4 100.69Мб
3. Integration of Frontend & Backend.srt 12.52Кб
3. Let's Build Simple Conversational Application.mp4 116.06Мб
3. Let's Build Simple Conversational Application.srt 19.95Кб
3. Project Environment Setup.mp4 61.06Мб
3. Project Environment Setup.srt 9.02Кб
30 396.25Кб
31 309.67Кб
32 346.02Кб
33 189.70Кб
34 325.65Кб
35 306.34Кб
4 294.34Кб
4.1 app - version 4.py 4.39Кб
4.1 Let's build Similar Words Finder Application.zip 2.38Кб
4.1 Lets' Build Simple Question Answering Application.zip 1.98Кб
4. Adding More Examples To Input Prompt.mp4 91.45Мб
4. Adding More Examples To Input Prompt.srt 9.62Кб
4. Let's build Similar Words Finder Application.mp4 170.37Мб
4. Let's build Similar Words Finder Application.srt 26.62Кб
4. Lets' Build Simple Question Answering Application.mp4 81.17Мб
4. Lets' Build Simple Question Answering Application.srt 15.29Кб
4. Modularization of Code.mp4 79.49Мб
4. Modularization of Code.srt 9.35Кб
4. Modularizing the Code.mp4 34.26Мб
4. Modularizing the Code.srt 4.52Кб
5 296.85Кб
5.1 app.py 8.90Кб
5.1 Output Parsers Implementation Using Python.ipynb 9.01Кб
5. Adding Examples - Kids, Adult & Senior Citizen.mp4 40.30Мб
5. Adding Examples - Kids, Adult & Senior Citizen.srt 4.54Кб
5. Output Parsers Walkthrough.mp4 90.51Мб
5. Output Parsers Walkthrough.srt 16.15Кб
5. Passing Dynamic Data.mp4 37.20Мб
5. Passing Dynamic Data.srt 6.68Кб
6 446.34Кб
6.1 Project 4 - Final Code.zip 4.42Кб
6. Implementing Chatbot Conversational View.mp4 53.69Мб
6. Implementing Chatbot Conversational View.srt 8.47Кб
6. Project Source Code.html 89б
7 232.97Кб
7. Conversation Summarization & API key feature.mp4 37.76Мб
7. Conversation Summarization & API key feature.srt 5.18Кб
8 316.38Кб
8.1 ChatGPT Clone - Source Code.zip 1.42Кб
8. Source Code.html 33б
9 57.76Кб
TutsNode.net.txt 63б