1 -Introduction of the Instructor (21.29 MB)
2 -Overview of the course & content (147.55 MB)
1 -Introduction to Open Source LLMs - Llama (361.32 MB)
2 -How to use open source llms with Langchain (225.31 MB)
3 -Custom Website Chatbot using Open source LLMs (342.92 MB)
4 -Open Source LLMs - Falcon (198.61 MB)
1 -Introduction & importance of RAG (79.63 MB)
2 -RAG Practical demo (162.49 MB)
3 -RAG Vs Fine-tuning (51.36 MB)
4 -Build a Q&A App with RAG using Gemini Pro and Langchain (142.85 MB)
1 -What is Fine Tuning Parameter Efficient Fine-Tuning - LoRA & QLoRA (162.56 MB)
2 -Fine-Tuning Meta Llama 2 on Custom Data (343 MB)
1 -Introduction to LlamaIndex & end to end Demo (261.81 MB)
2 -Open Source Mistral LLM with LlamaIndex (197.07 MB)
3 -Project Financial Stock Analysis using LlamaIndex (190.17 MB)
1 -AllResources (21.18 MB)
1 -Introduction to Generative AI (263.1 MB)
1 -End to end Generative AI Pipeline (545.4 MB)
2 -Data Preprocessing & cleaning (398.88 MB)
3 -Data representation & vectorization for the model training (1018.9 MB)
4 -Text Classification Practical (209.59 MB)
1 -Introduction to Large Language Models & its architecture (281.6 MB)
2 -In depth intuition of Transformer-Attention all your need Paper (436.08 MB)
3 -How ChatGPT is trained (128.44 MB)
1 -Introduction of Hugging Face (198.19 MB)
2 -Hands-On Hugging Face - Transformers, HF Pipeline, Datasets, LLMs (245.76 MB)
3 -Data processing, Tokenizing and Feature Extraction with hugging face (120.84 MB)
4 -Fine-tuning using a pretrain models (210.82 MB)
5 -Hugging face API key generation (20.72 MB)
6 -Project Text summrization with hugging face (361.49 MB)
7 -Project Text to Image generation with LLM with hugging face (241.34 MB)
8 -Project Text to speech generation with LLM with hugging face (44.42 MB)
1 -Introduction to OpenAI (149.42 MB)
2 -What is OpenAI API and how to generate OpenAI API key (61.86 MB)
3 -Local Environment Setup (47.81 MB)
4 -Hands on OpenAI - ChatCompletion API and Completion API (449.42 MB)
5 -Function Calling in OpenAI (243.35 MB)
6 -Project Telegram bot using OpenAI (566.65 MB)
7 -Project Finetuning of GPT-3 model for text classification (120.25 MB)
8 -Project Audio Transcript Transilation with Whishper (282.7 MB)
9 -Project Image genration with DALL-E (89.59 MB)
1 -Introduction to prompt engineering (388.06 MB)
1 -The Complete Introduction to Vector Databases (221.41 MB)
2 -Mastering Vector Databases with ChromaDB (399.16 MB)
3 -Mastering Vector Databases with Pinecone (219.76 MB)
4 -Mastering Vector Databases with Weaviate (170.62 MB)
1 -Introduction & Installation and setup of langchain (263.94 MB)
10 -Project Custom Website Chatbot (275.46 MB)
2 -Prompt Templates in Langchain (59.94 MB)
3 -Chains in Langchain (150.77 MB)
4 -Langchain Agents and Tools (88.24 MB)
5 -Memory in Langchain (115.72 MB)
6 -Documents Loader in Langchain (66.74 MB)
7 -Multi-Dataframe Agents in Langchain (76.28 MB)
8 -How to use Hugging face Open Source LLM with Langchain (102.48 MB)
9 -Project Interview Questions Creator Application (899.25 MB)