LangChain MasterClass 8 OpenAI LLM Pinecone Python Apps
Torrent Info
| Category | Other |
| Added | Monday 17th July 2023 05:01:26 PM (3 years ago) |
| Size | 2.5 GB |
| Peers | 15 Peers (12 Seeders and 3 leechers) update |
| Downloaded | 6889 times |
| Uploader | tutsnode Thank You (0) Report Torrent 00/0 |
| Comments | None |
| Uploader Comments | None |
| Tags | English |
| Seeders | 12 |
| Leechers | 3 |
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| Filename | Size |
|---|---|
| 2. Different Types of Memory.mp4 | 183.1 MB |
| TutsNode.net.txt | 63 bytes |
| 1.1 Memory Module.ipynb | 369.2 KB |
| 3.1 Example Selectors Implementation Using Python.ipynb | 28.6 KB |
| 4. Let's build Similar Words Finder Application.srt | 26.6 KB |
| 1. Importance of Memory in LLM powered Apps.srt | 20.3 KB |
| 1. A LangChain Example - Implementation Demo.srt | 9.9 KB |
| [TGx]Downloaded from torrentgalaxy.to .txt | 585 bytes |
| 6. Project Source Code.html | 89 bytes |
| 8. Source Code.html | 33 bytes |
| 0 | 11 bytes |
| 4. Let's build Similar Words Finder Application.mp4 | 170.4 MB |
| 3. Let's Build Simple Conversational Application.srt | 19.9 KB |
| 2. Prompt Template Walkthrough.srt | 19.8 KB |
| 2. Different Types of Memory.srt | 18.7 KB |
| 1. LangChain's Modules Overview.srt | 1.1 KB |
| 3.1 Embeddings Example using Python.zip | 18.4 KB |
| 2.1 Embeddings Practical Implementation using Python.zip | 16.7 KB |
| 3. Embeddings Example using Python.srt | 16.5 KB |
| 5. Output Parsers Walkthrough.srt | 16.1 KB |
| 2. Text Embeddings Practical Implementation using Python.srt | 5.3 KB |
| 1 | 38 bytes |
| 3. Embeddings Example using Python.mp4 | 147.7 MB |
| 3. Example Selectors Walkthrough.srt | 16.1 KB |
| 2.1 Prompt Template Implementation Using Python.ipynb | 15.4 KB |
| 4.1 Lets' Build Simple Question Answering Application.zip | 2.0 KB |
| 4. Lets' Build Simple Question Answering Application.srt | 15.3 KB |
| 1. Chat Model Walkthrough.srt | 2.2 KB |
| 2. Chat Model Practical Implementation using Python.srt | 14.0 KB |
| 2. LLM Practical Implementation using Python.srt | 13.6 KB |
| 3. Integration of Frontend & Backend.srt | 12.5 KB |
| 1. Convert Jupyter Notebook to Python Script.srt | 12.1 KB |
| 4. Adding More Examples To Input Prompt.srt | 9.6 KB |
| 3.1 Let's Build Simple Conversational Application.zip | 1.9 KB |
| 3. Implementing the Frontend.srt | 9.6 KB |
| 4. Modularization of Code.srt | 9.4 KB |
| 3. Project Environment Setup.srt | 9.0 KB |
| 5.1 Output Parsers Implementation Using Python.ipynb | 9.0 KB |
| 5.1 app.py | 8.9 KB |
| 6. Implementing Chatbot Conversational View.srt | 8.5 KB |
| 1. Text Embedding Walkthrough.srt | 8.1 KB |
| 1. What is OpenAI.srt | 7.9 KB |
| 5. Passing Dynamic Data.srt | 6.7 KB |
| 1. What is LangChain.srt | 6.5 KB |
| 4.1 Let's build Similar Words Finder Application.zip | 2.4 KB |
| 2. Building the App's frontend.srt | 6.5 KB |
| 2. Anaconda Installation.srt | 6.4 KB |
| 2. Let's understand the LangChain benefits.srt | 6.0 KB |
| 2. OpenAI API Key Generation.srt | 5.6 KB |
| 1. LLMs Walkthrough.srt | 5.3 KB |
| 7. Conversation Summarization & API key feature.srt | 5.2 KB |
| 5. Adding Examples - Kids, Adult & Senior Citizen.srt | 4.5 KB |
| 4. Modularizing the Code.srt | 4.5 KB |
| 6.1 Project 4 - Final Code.zip | 4.4 KB |
| 4.1 app - version 4.py | 4.4 KB |
| 1. Prompts Module Introduction.srt | 4.3 KB |
| 2. Setting up the Project.srt | 4.2 KB |
| 3.1 app - version 3.py | 4.1 KB |
| 2.1 app - version 2.py | 3.9 KB |
| 2.1 Chat Model Practical Implementation using Python.zip | 3.4 KB |
| 2.1 LLM Practical Implementation using Python.zip | 3.1 KB |
| 1.1 app - version 1.py | 3.3 KB |
| 1. ChatGPT Clone Demo.srt | 2.2 KB |
| 8.1 ChatGPT Clone - Source Code.zip | 1.4 KB |
| 2 | 2.7 KB |
| 1. Importance of Memory in LLM powered Apps.mp4 | 144.1 MB |
| 2.1 Memory Module.ipynb | 369.2 KB |
| 3 | 80.5 KB |
| 3. Example Selectors Walkthrough.mp4 | 132.7 MB |
| 4 | 294.3 KB |
| 2. Prompt Template Walkthrough.mp4 | 127.2 MB |
| 5 | 296.9 KB |
| 3. Let's Build Simple Conversational Application.mp4 | 116.1 MB |
| 6 | 446.3 KB |
| 1. Convert Jupyter Notebook to Python Script.mp4 | 100.8 MB |
| 7 | 233.0 KB |
| 3. Integration of Frontend & Backend.mp4 | 100.7 MB |
| 8 | 316.4 KB |
| 2. LLM Practical Implementation using Python.mp4 | 91.9 MB |
| 9 | 57.8 KB |
| 4. Adding More Examples To Input Prompt.mp4 | 91.5 MB |
| 10 | 49.2 KB |
| 5. Output Parsers Walkthrough.mp4 | 90.5 MB |
| 11 | 502.2 KB |
| 4. Lets' Build Simple Question Answering Application.mp4 | 81.2 MB |
| 12 | 335.8 KB |
| 4. Modularization of Code.mp4 | 79.5 MB |
| 13 | 6.3 KB |
| 2. Chat Model Practical Implementation using Python.mp4 | 77.6 MB |
| 14 | 397.8 KB |
| 3. Implementing the Frontend.mp4 | 71.9 MB |
| 15 | 52.3 KB |
| 3. Project Environment Setup.mp4 | 61.1 MB |
| 16 | 455.4 KB |
| 1. What is OpenAI.mp4 | 54.0 MB |
| 17 | 503.8 KB |
| 6. Implementing Chatbot Conversational View.mp4 | 53.7 MB |
| 18 | 314.3 KB |
| 1. A LangChain Example - Implementation Demo.mp4 | 53.0 MB |
| 19 | 24.4 KB |
| 2. Building the App's frontend.mp4 | 47.7 MB |
| 20 | 316.6 KB |
| 1. What is LangChain.mp4 | 45.7 MB |
| 21 | 264.5 KB |
| 2. Text Embeddings Practical Implementation using Python.mp4 | 43.9 MB |
| 22 | 115.9 KB |
| 2. Setting up the Project.mp4 | 43.1 MB |
| 23 | 420.4 KB |
| 5. Adding Examples - Kids, Adult & Senior Citizen.mp4 | 40.3 MB |
| 24 | 209.7 KB |
| 7. Conversation Summarization & API key feature.mp4 | 37.8 MB |
| 25 | 245.4 KB |
| 2. Let's understand the LangChain benefits.mp4 | 37.6 MB |
| 26 | 411.3 KB |
| 5. Passing Dynamic Data.mp4 | 37.2 MB |
| 27 | 310.3 KB |
| 2. OpenAI API Key Generation.mp4 | 36.6 MB |
| 28 | 358.9 KB |
| 4. Modularizing the Code.mp4 | 34.3 MB |
| 29 | 242.3 KB |
| 1. Text Embedding Walkthrough.mp4 | 34.1 MB |
| 30 | 396.2 KB |
| 2. Anaconda Installation.mp4 | 33.2 MB |
| 31 | 309.7 KB |
| 1. LLMs Walkthrough.mp4 | 27.2 MB |
| 32 | 346.0 KB |
| 1. Prompts Module Introduction.mp4 | 18.8 MB |
| 33 | 189.7 KB |
| 1. Chat Model Walkthrough.mp4 | 9.2 MB |
| 34 | 325.6 KB |
| 1. ChatGPT Clone Demo.mp4 | 8.2 MB |
| 35 | 306.3 KB |
| 1. LangChain's Modules Overview.mp4 | 6.2 MB |
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