1 - Generative AI Introduction (284.75 MB)
2 - What is LangChain (33.67 MB)
3 - Lets understand the LangChain benefits (21.13 MB)
27 - Convert Jupyter Notebook to Python Script (112.86 MB)
28 - Building the Apps frontend (31.75 MB)
29 - Integration of Frontend Backend (77.62 MB)
30 - Modularization of Code (59.01 MB)
31 - Marketing-Campaign-App-Project-Source-Code (4.76 KB)
32 - Importance of Memory in LLM powered Apps (213.74 MB)
33 - Different Types of Memory (198.17 MB)
35 - ChatGPT Clone Demo (4.72 MB)
36 - Setting up the Project (71.62 MB)
37 - Implementing the Frontend (47.35 MB)
38 - Modularizing the Code (18.69 MB)
39 - Passing Dynamic Data (19.79 MB)
40 - Implementing Chatbot Conversational View (28.16 MB)
41 - Conversation Summarization API key feature (44.4 MB)
5 - HuggingFace Intro Access Token Generation (152.56 MB)
6 - What is OpenAI (31.24 MB)
7 - OpenAI API Key Generation (20.56 MB)
8 - Project Implementation Demo (104.35 MB)
9 - Anaconda Installation (53.96 MB)
10 - LangChains Modules Overview (11.47 MB)
11 - LLMs Walkthrough (32.3 MB)
12 - LLM Practical Implementation using Python (150.83 MB)
13 - Project Environment Setup (107.73 MB)
14 - Lets Build Simple Question Answering Application (61.8 MB)
15 - Chat Model Walkthrough (6.67 MB)
16 - Chat Model Practical Implementation using Python (128.86 MB)
17 - Lets Build Simple Conversational Application (135.17 MB)
18 - Text Embedding Walkthrough (20.5 MB)
19 - Text Embeddings Practical Implementation using Python (36.39 MB)
20 - Embeddings Example using Python (257.3 MB)
21 - Lets build Similar Words Finder Application (250.43 MB)
22 - Prompts Module Introduction (16.94 MB)
23 - Prompt Template Walkthrough (186.74 MB)
24 - Example Selectors Walkthrough (233.62 MB)
25 - Adding More Examples To Input Prompt (103.16 MB)
26 - Output Parsers Walkthrough (114.5 MB)