GenAI Tutorial - Generative Process in AI | Fine Tuning in AI |

Generative Process in AI | How Generative AI Creates Content Generative AI models can create text, images, videos, music, and even code. But how does AI actually generate this content? In this video, we explain the Generative Process used in AI models and how modern AI systems like ChatGPT, Gemini, and other LLMs generate human-like responses. In this tutorial, you will learn: ✔ What is the Generative Process in AI ✔ How AI models predict the next word/token ✔ How training data helps AI generate content ✔ Role of probabilities and tokens in text generation ✔ How LLMs create human-like responses ✔ Examples of Generative AI in real-world applications Fine Tuning in AI | How AI Models Learn from Custom Data Fine-Tuning is an important technique used to customize AI models for specific tasks and domains. It allows organizations to improve the performance of Large Language Models by training them on additional datasets. Who are Prompt Engineers? | Role of Prompt Engineering in AI Prompt Engineers play a crucial role in the world of Generative AI. They design and structure prompts that help AI models produce accurate, relevant, and high-quality responses. In this video, we explain the role of Prompt Engineers and why Prompt Engineering is becoming an important skill in the AI era. In this tutorial, you will learn: ✔ Who is a Prompt Engineer ✔ Responsibilities of a Prompt Engineer ✔ Skills required for Prompt Engineering ✔ How Prompt Engineers improve AI responses ✔ Real-world applications of Prompt Engineering ✔ Career opportunities in Prompt Engineering In this video, we explain Fine-Tuning in Generative AI and how companies adapt models like GPT, Gemini, and other LLMs for specialized use cases. In this tutorial, you will learn: ✔ What is Fine-Tuning in AI ✔ Why Fine-Tuning is important ✔ Difference between Pre-Training and Fine-Tuning ✔ How organizations train models with domain data ✔ Examples of Fine-Tuned models in business and development ✔ Benefits and limitations of Fine-Tuning This video is perfect for beginners, developers, testers, students, and AI enthusiasts who want to understand how Generative AI works behind the scenes. 👍 Like, Share and Subscribe for more tutorials on AI, Automation, and Modern Technology. Join the Playwright TypeScript: GenAI + MCP Servers + Cucumber BDD course on Udemy: https://www.udemy.com/course/playwright-cucumber-typescript-automation/?referralCode=A7D172109B522598A39A Full list of all 30+ Automation courses: https://www.selenium-tutorial.com/l/products Join the lifetime membership and get access to all 30+ courses on Way2Automation and Udemy and Attend Live batches from all Ongoing and Future live trainings: https://www.way2automation.com/lifetime-membership-club/ Subscribe to our Channel for new updates: https://www.youtube.com/c/seleniumappiumtutorialtraining?sub_confirmation=1