Скачать с ютуб Q3,Q4,Q5 - Class -07: Neural Networks and Transformers for Beginners: A Simple Explanation в хорошем качестве

Q3,Q4,Q5 - Class -07: Neural Networks and Transformers for Beginners: A Simple Explanation

👋 Hey AI Enthusiasts! Learn the basics of Neural Networks and Transformers in this beginner-friendly tutorial. We'll break down complex concepts into easy-to-understand terms, helping you grasp the fundamental building blocks of generative AI. Discover how these powerful models are used to create amazing AI-generated content. 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  ) **Join Our Community**: Become a part of our growing Facebook group and stay updated with all the latest content and discussions: [Official Facebook Group](  / 207857240128729  )