Custom Fine-Tuning GPT-2 & StarCoder in PyTorch for Chatbots

Embark on a comprehensive journey into the realm of AI-driven chatbots with our detailed course focused on fine-tuning transformer models like GPT-2 and StarCoder 2 using PyTorch. This course is meticulously designed for both beginners and experienced practitioners who wish to leverage the power of advanced AI models to develop sophisticated chat assistants tailored to a variety of uses, from everyday conversational interfaces to specialized coding assistants. Throughout this course, you will gain hands-on experience with the essentials of transformer technology, starting with the basics of fine-tuning techniques and progressing through the intricate process of preparing custom datasets.

You will learn to fine-tune and configure models effectively, ensuring that they can handle real-world conversational flows and engage users with contextually aware interactions. The course also covers the crucial aspects of training loop implementation, optimization of model parameters, and bringing your chatbot to life in a real-time environment. This course is ideally suited for aspiring AI developers, data scientists keen on NLP, software developers looking to integrate AI functionalities into applications, tech educators seeking to expand their academic offerings, and hobbyists passionate about the cutting-edge of technology.

By the end of this course, participants will be equipped with the know-how to not only comprehend the functionalities of GPT-2 and StarCoder 2 but to also innovate and implement their own AI chat solutions, pushing the boundaries of what conversational AI can achieve. Join us to transform your understanding of artificial intelligence and take your skills in building and deploying AI-driven chatbots to the next level. Whether you are looking to enhance your professional skills or simply explore a fascinating aspect of AI, this course will provide you with the knowledge and tools necessary to succeed.