Enroll Course: https://www.udemy.com/course/uretken-yapay-zeka-genai/
The year 2023 has witnessed an unprecedented surge in Generative AI, largely driven by advancements in large language models (LLMs). Tools like ChatGPT, Bing, and Google Bard have captured the attention of millions, prompting individuals and organizations to explore how they can leverage this transformative technology. This Udemy course, ‘Üretken Yapay Zeka (Generative AI)’, aims to answer precisely that question, demystifying what Generative AI is and how it can be implemented.
The course wisely begins by laying a foundational understanding of machine learning and artificial neural networks, essential concepts for grasping Generative AI, even for those with no prior knowledge. This ensures a smooth learning curve for everyone.
A significant portion of the curriculum is dedicated to LLMs, delving into the intricacies of the Transformer architecture and the crucial art of prompt engineering. The course doesn’t just stop at theory; it provides practical pathways for integrating Generative AI into your own applications. Two primary methods are covered: calling APIs provided by LLMs and loading and running LLMs directly within your applications. The latter, particularly with open-source LLMs, is a key focus.
To solidify these concepts, the course walks you through numerous Python code examples for various natural language processing (NLP) tasks. These include sentiment analysis, text generation, translation, question answering, text classification, summarization, and even text-to-image generation. This hands-on approach empowers you to implement these functionalities in your projects with confidence.
Furthermore, the course explores cutting-edge techniques that push the boundaries of LLMs, such as Retrieval Augmented Generation (RAG), LLMChain, and agents with tools. You’ll find both the underlying infrastructure and practical Python code for applications utilizing these advanced methods.
Additional sections offer valuable insights: ‘Ek1’ covers Chat Completion API features for chatbot development, including a prototype application. ‘Ek2’ introduces Visual Language Models (VLMs), demonstrating their structure and providing code examples. The VLM demonstration of extracting invoice details from an image is particularly compelling.
To reinforce learning, each section concludes with quizzes. The course emphasizes practical application, featuring 28 distinct Python code examples that bridge theory and practice. By the end of this course, you will be equipped with the knowledge and skills to harness Generative AI in your specific domain and applications, enabling you to innovate and create.
Enroll Course: https://www.udemy.com/course/uretken-yapay-zeka-genai/