Generative AI specialization

In my free time, I completed a Generative AI specialization course focused on Generative AI and Large Language Models (LLMs). This intensive program provided hands-on experience in developing AI-powered solutions for real-world applications.

Course Content

Transformers and LLMs: In-depth study of six leading Frontier models and their applications.
Web-Scraping AI: Development of an intelligent brochure generator that autonomously collects and structures data from websites.
Multimodal AI Assistants: Building an AI chatbot capable of processing text, images, and audio for customer service.
Open-Source LLMs: Exploration of Hugging Face and implementation of a tool that automates meeting notes and action items from audio.
Code Generation with AI: Using LLMs to convert Python code to C++, achieving a 60,000x performance improvement.
Retrieval-Augmented Generation (RAG): Implementing RAG and vector databases for advanced enterprise AI applications.
Fine-Tuning LLMs: Training custom AI models with techniques like QLoRA to adapt LLMs for specific business needs.
Autonomous AI Agents: Developing multi-agent systems that collaborate with LLMs to detect real-time opportunities and special offers.
Enterprise AI Applications: Designing AI-driven solutions for product price prediction, document generation, and knowledge management.
AI Deployment & Optimization: Using Hugging Face, Gradio, and Weights & Biases to optimize and deploy AI solutions efficiently.