Q3,Q4,Q5 - Class -06: Generative AI Foundations: Discriminative vs. Generative Models and GANs

Опубликовано: 21 Январь 2025
на канале: Panaversity Urdu

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👋 Hey AI Enthusiasts! Delve into the world of Generative AI! Discover the fundamental concepts and techniques that underpin these revolutionary models. We'll explore the key differences between discriminative and generative models, and dive deep into the fascinating architecture of Generative Adversarial Networks (GANs). Understand how GANs work by pitting a generator against a discriminator in a competitive game, producing incredibly realistic and creative outputs.

This video is an orientation for our " Certified Cloud Native Applied Generative AI Engineer " Course at PIAIC Platform.

📚 What Will You Learn? in this course
● Custom GPTs and Multi AI Agent Systems: Learn to fine-tuning foundational AI models, and market them in GPT stores. Learn key principles of designing effective AI agents, and organising a team of AI agents to perform complex, multi-step tasks. Apply these concepts to automate common business processes.
● Develop AI Powered Microservices: Master Python, build APIs using FastAPI, SQLModel, Postgres, Kafka, Kong, and leverage cutting-edge GenAI APIs like OpenAI, and Open Source AI LLMs.
● Cloud Native Expertise: Design and deploy cloud-native applications using Docker, DevContainers, TestContainers, Kubernetes, Terraform, and GitHub Actions.
● Distributed System Design: Designing systems that run on multiple computers (or nodes) simultaneously, interacting and coordinating their actions by passing messages over a network.
● Designing AI Solutions using Design Thinking and Behaviour Driven Development (BDD): We will learn to leverage these methodologies to create AI solutions that are not only technically sound but also highly user-centric and aligned with real-world needs.
● Fine-Tuning Open-Source Large Language Models using PyTorch, and Fast AI: We will learn to fine-tuning of open-source Large Language Models (LLMs) like Meta LLaMA 3 using PyTorch and Fast AI, with a focus on cloud-native training and deployment. We will set up development environments, preprocess data, fine-tune models, and deploy them using cloud native platforms.
● Physical AI and Humanoid Robotics: We will learn to design, simulate, and deploy advanced humanoid robots capable of natural interactions.

🛠️ Tools & Technologies Covered:
Poetry
Python
FastAPI
Docker
Kafka
Kong
Pytorch
ROS2

📌 Useful Links:
-https://github.com/panaversity/learn-...
www.piaic.org

📣 Stay Connected:
Don't forget to like this video 👍, subscribe 🔔, and share 💌 it with your friends and colleagues who are interested in Python development and data science!

🎓 Perfect for beginners and experienced developers looking to enhance their Python skills!

#generativeai #artificialintelligence #AI #LLM #machinelearning #technology #future #CPU #GPU #NPU #cloudcomputing #opensource

**Connect with the Instructors**: Have questions? Want to connect? Find us on LinkedIn:
[Zia Khan](  / ziaukhan  )
[Qasim Sir](  / sirqasim  )

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