Скачать с ютуб Q3,Q4,Q5 - Class -03: Learn to Build Your Own Custom GPT with OpenAI! - Applied Generative AI в хорошем качестве

Q3,Q4,Q5 - Class -03: Learn to Build Your Own Custom GPT with OpenAI! - Applied Generative AI

👋 Hey AI Enthusiasts! Discover how to create highly specialized AI models tailored to your exact needs using OpenAI's powerful platform. In this tutorial, we'll walk you through the step-by-step process of building your own custom GPT. From understanding the basics of GPTs to crafting effective prompts and training your model, we've got you covered. Learn how to leverage your data to create AI assistants, chatbots, or any other custom language model. Whether you're a developer, researcher, or just curious about AI, this video will equip you with the knowledge to unlock the full potential of OpenAI. 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  )