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 widespread interest in how individuals and organizations can leverage this transformative technology. If you’re looking to dive deep into the world of Generative AI, a particular Udemy course, ‘Üretken Yapay Zeka (Generative AI)’, stands out as a comprehensive resource.
This course is meticulously designed to answer the crucial question: ‘What can be done with Generative AI, and how can it be achieved?’ It begins by laying a solid foundation, understanding that machine learning and artificial neural networks are the bedrock of Generative AI. Recognizing that not everyone has prior knowledge, the instructor thoughtfully includes introductory sections on machine learning, its core algorithms, and neural networks, making the course accessible to all.
A significant portion of the curriculum is dedicated to LLMs. It delves into the fundamental Transformer architecture and the critical aspect of prompt engineering, which is vital for effectively utilizing these models. The course highlights two primary methods for integrating Generative AI into your applications: calling APIs provided by LLM providers or loading and running an LLM directly within your application. While both are covered, the course places a strong emphasis on the latter, particularly with open-source LLMs.
To solidify these concepts, the course walks you through numerous Python code examples. These examples demonstrate how to perform various natural language processing (NLP) tasks, including sentiment analysis, text generation, translation, question answering, text classification, summarization, and even text-to-image generation. This practical approach ensures you gain the skills to implement these functionalities in your own projects.
Furthermore, the course explores cutting-edge techniques that are pushing the boundaries of LLMs, such as Retrieval Augmented Generation (RAG), LLMChain, and the concepts of agents and tools. You’ll find both the underlying infrastructure and practical Python code for applications built using these advanced methods.
Adding further value, the course includes supplementary sections. ‘Ek1’ focuses on the Chat Completion API, equipping you to develop chatbot applications and providing a prototype application code. ‘Ek2’ introduces Visual Language Models (VLMs), explaining their operational structure and showcasing code examples. The demonstration of extracting invoice information from an invoice image using a VLM is particularly compelling.
To reinforce learning, each module concludes with quizzes. More importantly, the course features 28 distinct Python code examples that transform theoretical knowledge into practical application. By the end of this course, you will possess the knowledge and skills necessary to immediately start utilizing Generative AI in your specific field and applications. It’s an investment that promises a significant return in a rapidly evolving technological landscape.
Enroll Course: https://www.udemy.com/course/uretken-yapay-zeka-genai/