From Data to Dialogue: End-to-End Generative AI & LLM Workshop

From Data to Dialogue: Mastering Generative AI & Large Language Models” is a hands-on international workshop that teaches participants to build, train, and deploy Generative AI models and Large Language Models (LLMs), focusing on data preprocessing, model training, and real-world applications like text classification.

• To provide a comprehensive understanding of Generative AI and Large Language Models (LLMs).

• To teach participants how to preprocess data and build end-to-end AI pipelines.

• To explore key concepts in data representation, vectorization, and model training.

• To offer hands-on experience in text classification using Generative AI and LLMs.

• To explain the architecture and training process of LLMs, including models like ChatGPT.

• To equip participants with the skills needed to apply AI techniques to real-world problems.

• Day 1: Introduction to Generative AI & Data Preprocessing

  • Overview of Generative AI and Real-World Applications

    • Introduction to Generative AI

    • Exploring its real-world applications across various industries

  • Understanding the Basics of Generative Models

    • The foundational concepts of generative models

    • Understanding their potential and use cases

  • Data Preprocessing and Embeddings

    • End-to-End Generative AI Pipeline

      • Overview of the full pipeline from data collection to model output

    • Data Preprocessing and Cleaning

      • Best practices for preparing datasets to ensure model effectiveness

    • Data Representation and Vectorization for Model Training

      • Techniques for representing textual and structured data

  • Hands-On Session: Text Classification

    • Practical session applying text classification using Generative AI models

  Day 2: Introduction to Large Language Models (LLMs)

  • Understanding Large Language Models (LLMs)

    • Deep dive into LLMs and their architecture

    • Exploring the role of LLMs in natural language processing

  • Intuition Behind Transformers

    • A comprehensive exploration of transformer models and their significance in LLMs

  • Training of ChatGPT and Similar Models

    • How models like ChatGPT are trained, fine-tuned, and deployed for various applications

  • Hands-On Session: Text Classification with LLMs

    • Practical session applying LLMs for text classification tasks

  Day 3: Advanced Techniques & Real-World Applications

  • Advanced Data Representation for LLMs

    • Understanding data representation and vectorization specifically for LLM model training

  • Fine-Tuning LLMs for Specific Tasks

    • Techniques to fine-tune LLMs for specialized applications

  • Real-World Use Cases

    • Exploring case studies on how Generative AI and LLMs are applied in industries like healthcare, finance, and customer service

  • Final Hands-On Session: End-to-End Project

    • A practical project integrating all concepts: building, training, and applying Generative AI and LLMs for a real-world text classification problem.

• AI/ML professionals, data scientists, and engineers seeking hands-on experience with Generative AI and LLMs.

• Students and researchers in AI, machine learning, and data science.

• Industry professionals in sectors like healthcare, finance, and technology interested in applying AI to real-world problems.

• Tech enthusiasts with a basic understanding of machine learning and Python programming.