Starting - Transformer from scratch using PyTorch
Case Study - Using ChatGPT to Build a Deep Learning Model
- Project 1 - Implementing Attention Mechanism in Python Without Using Frameworks
- Project 2 - Fine-Tuning a Transformer Model for Sentiment Classification
- Project 3 - Semantic Segmentation of Surveillance Camera Images
- Project 4 - LLM for Instant Text Classification
- Project 5 - Fraud Detection in Financial Transactions with Deep Learning
- Project 6 - Temporal Fusion Transformers for Multi-Horizon Demand Prediction
- Project 7 - Building Application in C++ Using Object-Oriented Programming
- Project 8 - Deep Learning for Image Classification in C++
- Project 9 - Automatic Translation Model Using Transformers in C++
- Project 10 - Building a RESTful API for Model Deployment with C++
Case Study - LLM in Action for Text Generation - GPT in Python Language
- Project 11 - Conversing with Your PDFs - Creating an AI Personal Assistant with LLM and VectorDB
- Project 12 - Fine-Tuning LLMs with PEFT (Parameter-Efficient Fine-Tuning)
- Project 13 - Efficient Fine-Tuning of LLMs with LoRA (Low-Rank Adaptation of Large Language Models)
- Project 14 - Ask Your Data. Question-Answering System with LLMs
- Project 15 - Creating External Memory for Your LLM with Vector Database
- Project 16 - LLM Fine-Tuning with QLoRA
- Project 17 - Fine-Tuning Your Own Llama 2 Model
- Project 18 - Training and Deploying Your LLM with Reinforcement Learning From Human Feedback (RLHF)
- Project 19 - LLM Fine-Tuning with Self-Supervised Training
- Project 20 - Retrieval Augmented Generation (RAG) on Audio Data with LangChain and Chroma