Generative Ai & Llms: Foundations To Hands-On Development

Generative AI, Large Language Models (LLMs), GPT models, Hugging Face Transformers, Python, Google Colab, PyTorch

What you'll learn

Understand the core concepts and advancements behind LLMs

Classify and compare representation (e.g., BERT) and generative (e.g., GPT) models

Gain hands-on experience to build a generative chatbot using cutting-edge technolgies such as Python, Hugging Face’s GPT-2 model, PyTorch and Google Colab

Master the ethical and social considerations of deploying LLMs responsibly

Explore future trends and opportunities in Language AI

Requirements

Basic Python Programming Knowledge

No Prior Knowledge of LLMs Required

Description

Unlock the power of Large Language Models (LLMs) in this comprehensive and engaging course designed for learners at all levels. From understanding the evolution of Language AI to building your own Generative chatbot, this course equips you with the knowledge and practical skills needed to excel in the rapidly growing field of Artificial Intelligence (AI).Dive deep into the theoretical foundations of LLMs, including the groundbreaking impact of GPT models, transformers, and self-attention mechanisms. Explore cutting-edge advancements in text representation methods, such as word embeddings and neural networks, while learning how to differentiate between representation and generative models like BERT and GPT.But we don't stop at theory. This course includes a hands-on lab where you'll create a fully functional Generative AI chatbot using Python and Hugging Face’s GPT-2 model. Along the way, you'll explore the applications and ethical implications of LLMs, ensuring you understand the responsibilities that come with developing AI technologies.Whether you're a student, developer, researcher, or business professional, this course offers invaluable insights and actionable knowledge that will empower you to harness the transformative potential of LLMs.Take the first step toward becoming a proficient AI practitioner and join the forefront of innovation in Language AI!

Overview

Section 1: Introduction to Large Language Models (LLMs)

Lecture 1 Introduction to Large Language Models (LLMs)

Section 2: Understanding Language AI

Lecture 2 Understanding Language AI

Section 3: Major Advancements and Technologies

Lecture 3 Major Advancements and Technologies

Section 4: The Rise of Attention Mechanisms

Lecture 4 The Rise of Attention Mechanisms

Section 5: Categories of LLMs Representation and Generative Models

Lecture 5 Categories of LLMs Representation and Generative Models

Section 6: Applications and Ethical Considerations

Lecture 6 Applications and Ethical Considerations

Section 7: Conclusion and Future Directions

Lecture 7 Conclusion and Future Directions

Section 8: Hands-On Exercise

Lecture 8 Develop a Generative AI chatbot in Python

Lecture 9 Overview of Cutting-edge Tools

Students and Educators,Data Scientists and AI Enthusiasts,Professionals Transitioning into AI,ChatGPT and Similar Models Enthusiasts,Python Developers Curious about Generative AI