From Data to Dialogue: End-to-End Generative AI & LLM Workshop
From Data to Dialogue: Master Generative AI & LLMs in a Hands-On International Workshop
Skills you will gain:
About Program:
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.
Aim: To equip participants with practical skills in Generative AI and Large Language Models (LLMs), covering data preprocessing, model training, and real-world applications, with a focus on hands-on text classification using advanced AI techniques.
Program Objectives:
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To provide a comprehensive understanding of Generative AI and Large Language Models (LLMs).
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To teach participants how to preprocess data and build end-to-end AI pipelines.
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To explore key concepts in data representation, vectorization, and model training.
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To offer hands-on experience in text classification using Generative AI and LLMs.
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To explain the architecture and training process of LLMs, including models like ChatGPT.
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To equip participants with the skills needed to apply AI techniques to real-world problems.
What you will learn?
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Day 1: Introduction to Generative AI & Data Preprocessing
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Overview of Generative AI and Real-World Applications
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Introduction to Generative AI
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Exploring its real-world applications across various industries
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Understanding the Basics of Generative Models
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The foundational concepts of generative models
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Understanding their potential and use cases
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Data Preprocessing and Embeddings
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End-to-End Generative AI Pipeline
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Overview of the full pipeline from data collection to model output
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Data Preprocessing and Cleaning
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Best practices for preparing datasets to ensure model effectiveness
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Data Representation and Vectorization for Model Training
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Techniques for representing textual and structured data
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Hands-On Session: Text Classification
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Practical session applying text classification using Generative AI models
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Day 2: Introduction to Large Language Models (LLMs)
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Understanding Large Language Models (LLMs)
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Deep dive into LLMs and their architecture
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Exploring the role of LLMs in natural language processing
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Intuition Behind Transformers
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A comprehensive exploration of transformer models and their significance in LLMs
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Training of ChatGPT and Similar Models
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How models like ChatGPT are trained, fine-tuned, and deployed for various applications
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Hands-On Session: Text Classification with LLMs
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Practical session applying LLMs for text classification tasks
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Day 3: Advanced Techniques & Real-World Applications
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Advanced Data Representation for LLMs
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Understanding data representation and vectorization specifically for LLM model training
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Fine-Tuning LLMs for Specific Tasks
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Techniques to fine-tune LLMs for specialized applications
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Real-World Use Cases
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Exploring case studies on how Generative AI and LLMs are applied in industries like healthcare, finance, and customer service
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Final Hands-On Session: End-to-End Project
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A practical project integrating all concepts: building, training, and applying Generative AI and LLMs for a real-world text classification problem.
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Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
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AI/ML professionals, data scientists, and engineers seeking hands-on experience with Generative AI and LLMs.
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Students and researchers in AI, machine learning, and data science.
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Industry professionals in sectors like healthcare, finance, and technology interested in applying AI to real-world problems.
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Tech enthusiasts with a basic understanding of machine learning and Python programming.
Career Supporting Skills
Program Outcomes
Participants will:
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Master Generative AI and Large Language Models (LLMs).
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Gain hands-on experience in data preprocessing and text classification.
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Learn to build AI pipelines and fine-tune LLMs like ChatGPT.
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Acquire skills for real-world AI applications in various industries.