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LangChain MasterClass 8 OpenAI LLM Pinecone Python Apps

Torrent Info
Category Other
Added Monday 17th July 2023 05:01:26 PM (3 years ago)
Size2.5 GB
Peers15 Peers (12 Seeders and 3 leechers) update
Downloaded6889 times
Uploadertutsnode  Thank You  (0) Report Torrent 00/0
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Tags English
Seeders12
Leechers3
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Torrent Files (133)
FilenameSize
2. Different Types of Memory.mp4183.1 MB
TutsNode.net.txt63 bytes
1.1 Memory Module.ipynb369.2 KB
3.1 Example Selectors Implementation Using Python.ipynb28.6 KB
4. Let's build Similar Words Finder Application.srt26.6 KB
1. Importance of Memory in LLM powered Apps.srt20.3 KB
1. A LangChain Example - Implementation Demo.srt9.9 KB
[TGx]Downloaded from torrentgalaxy.to .txt585 bytes
6. Project Source Code.html89 bytes
8. Source Code.html33 bytes
011 bytes
4. Let's build Similar Words Finder Application.mp4170.4 MB
3. Let's Build Simple Conversational Application.srt19.9 KB
2. Prompt Template Walkthrough.srt19.8 KB
2. Different Types of Memory.srt18.7 KB
1. LangChain's Modules Overview.srt1.1 KB
3.1 Embeddings Example using Python.zip18.4 KB
2.1 Embeddings Practical Implementation using Python.zip16.7 KB
3. Embeddings Example using Python.srt16.5 KB
5. Output Parsers Walkthrough.srt16.1 KB
2. Text Embeddings Practical Implementation using Python.srt5.3 KB
138 bytes
3. Embeddings Example using Python.mp4147.7 MB
3. Example Selectors Walkthrough.srt16.1 KB
2.1 Prompt Template Implementation Using Python.ipynb15.4 KB
4.1 Lets' Build Simple Question Answering Application.zip2.0 KB
4. Lets' Build Simple Question Answering Application.srt15.3 KB
1. Chat Model Walkthrough.srt2.2 KB
2. Chat Model Practical Implementation using Python.srt14.0 KB
2. LLM Practical Implementation using Python.srt13.6 KB
3. Integration of Frontend & Backend.srt12.5 KB
1. Convert Jupyter Notebook to Python Script.srt12.1 KB
4. Adding More Examples To Input Prompt.srt9.6 KB
3.1 Let's Build Simple Conversational Application.zip1.9 KB
3. Implementing the Frontend.srt9.6 KB
4. Modularization of Code.srt9.4 KB
3. Project Environment Setup.srt9.0 KB
5.1 Output Parsers Implementation Using Python.ipynb9.0 KB
5.1 app.py8.9 KB
6. Implementing Chatbot Conversational View.srt8.5 KB
1. Text Embedding Walkthrough.srt8.1 KB
1. What is OpenAI.srt7.9 KB
5. Passing Dynamic Data.srt6.7 KB
1. What is LangChain.srt6.5 KB
4.1 Let's build Similar Words Finder Application.zip2.4 KB
2. Building the App's frontend.srt6.5 KB
2. Anaconda Installation.srt6.4 KB
2. Let's understand the LangChain benefits.srt6.0 KB
2. OpenAI API Key Generation.srt5.6 KB
1. LLMs Walkthrough.srt5.3 KB
7. Conversation Summarization & API key feature.srt5.2 KB
5. Adding Examples - Kids, Adult & Senior Citizen.srt4.5 KB
4. Modularizing the Code.srt4.5 KB
6.1 Project 4 - Final Code.zip4.4 KB
4.1 app - version 4.py4.4 KB
1. Prompts Module Introduction.srt4.3 KB
2. Setting up the Project.srt4.2 KB
3.1 app - version 3.py4.1 KB
2.1 app - version 2.py3.9 KB
2.1 Chat Model Practical Implementation using Python.zip3.4 KB
2.1 LLM Practical Implementation using Python.zip3.1 KB
1.1 app - version 1.py3.3 KB
1. ChatGPT Clone Demo.srt2.2 KB
8.1 ChatGPT Clone - Source Code.zip1.4 KB
22.7 KB
1. Importance of Memory in LLM powered Apps.mp4144.1 MB
2.1 Memory Module.ipynb369.2 KB
380.5 KB
3. Example Selectors Walkthrough.mp4132.7 MB
4294.3 KB
2. Prompt Template Walkthrough.mp4127.2 MB
5296.9 KB
3. Let's Build Simple Conversational Application.mp4116.1 MB
6446.3 KB
1. Convert Jupyter Notebook to Python Script.mp4100.8 MB
7233.0 KB
3. Integration of Frontend & Backend.mp4100.7 MB
8316.4 KB
2. LLM Practical Implementation using Python.mp491.9 MB
957.8 KB
4. Adding More Examples To Input Prompt.mp491.5 MB
1049.2 KB
5. Output Parsers Walkthrough.mp490.5 MB
11502.2 KB
4. Lets' Build Simple Question Answering Application.mp481.2 MB
12335.8 KB
4. Modularization of Code.mp479.5 MB
136.3 KB
2. Chat Model Practical Implementation using Python.mp477.6 MB
14397.8 KB
3. Implementing the Frontend.mp471.9 MB
1552.3 KB
3. Project Environment Setup.mp461.1 MB
16455.4 KB
1. What is OpenAI.mp454.0 MB
17503.8 KB
6. Implementing Chatbot Conversational View.mp453.7 MB
18314.3 KB
1. A LangChain Example - Implementation Demo.mp453.0 MB
1924.4 KB
2. Building the App's frontend.mp447.7 MB
20316.6 KB
1. What is LangChain.mp445.7 MB
21264.5 KB
2. Text Embeddings Practical Implementation using Python.mp443.9 MB
22115.9 KB
2. Setting up the Project.mp443.1 MB
23420.4 KB
5. Adding Examples - Kids, Adult & Senior Citizen.mp440.3 MB
24209.7 KB
7. Conversation Summarization & API key feature.mp437.8 MB
25245.4 KB
2. Let's understand the LangChain benefits.mp437.6 MB
26411.3 KB
5. Passing Dynamic Data.mp437.2 MB
27310.3 KB
2. OpenAI API Key Generation.mp436.6 MB
28358.9 KB
4. Modularizing the Code.mp434.3 MB
29242.3 KB
1. Text Embedding Walkthrough.mp434.1 MB
30396.2 KB
2. Anaconda Installation.mp433.2 MB
31309.7 KB
1. LLMs Walkthrough.mp427.2 MB
32346.0 KB
1. Prompts Module Introduction.mp418.8 MB
33189.7 KB
1. Chat Model Walkthrough.mp49.2 MB
34325.6 KB
1. ChatGPT Clone Demo.mp48.2 MB
35306.3 KB
1. LangChain's Modules Overview.mp46.2 MB
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