Enroll Course: https://www.udemy.com/course/uretken-yapay-zeka-genai/
In recent years, the development of large language models has led to a significant surge in the use of generative AI. Products like ChatGPT, Bing, and Google Bard have attracted millions of users, prompting individuals and organizations to explore how they can leverage generative AI in their respective fields. The Udemy course ‘Üretken Yapay Zeka’ (Generative AI) aims to answer this very question by demonstrating what can be done with generative AI and how to do it effectively.
This course is designed to be accessible to everyone, regardless of prior knowledge in machine learning or artificial neural networks. It begins with foundational concepts, ensuring that all participants can follow along and grasp the material. The course places a significant emphasis on large language models, covering essential topics such as the transformer architecture and prompt design, which are crucial for effective language model usage.
One of the standout features of this course is its practical approach to implementing generative AI in applications. It covers two primary methods: calling APIs provided by large language models and loading a large language model directly within your application. While both methods are explained, there is a particular focus on the second method and the use of open-source large language models.
Throughout the course, you will explore a plethora of natural language processing functions such as sentiment analysis, text generation, translation, question answering, text classification, summarization, and even image generation from text. By working through Python code examples, you will gain hands-on experience that will empower you to incorporate these functions into your applications confidently.
Moreover, the course delves into advanced topics like Retrieval Augmented Generation (RAG), LLMChain, and various agent and tool methodologies that are pushing the boundaries of large language models. You will find in-depth explanations and Python code examples for applications developed using these cutting-edge techniques.
The additional sections, Ek1 and Ek2, provide further insights into practical applications. Ek1 focuses on developing chatbot applications using Chat Completion API features, including a prototype chatbot application code. Ek2 introduces Visual Language Models (VLM), showcasing their functionality and providing code examples to extract information from images, such as invoices.
To solidify your understanding, the course includes quizzes at the end of each section, allowing you to reinforce what you’ve learned. With 28 different Python code examples to examine, the course ensures that theoretical knowledge is translated into practical skills.
If you are eager to start utilizing generative AI in your field and applications, this course will equip you with the knowledge and skills necessary to achieve your goals by the end of your learning journey. I highly recommend the ‘Üretken Yapay Zeka’ course for anyone looking to harness the power of generative AI effectively.
Enroll Course: https://www.udemy.com/course/uretken-yapay-zeka-genai/