01/08/2024 - 07/08/2024
This week marked a significant phase in the journey of learning and applying Generative AI and Large Language Models (LLMs), alongside practical development in AI-powered applications and web development. The week was characterized by a blend of foundational learning, hands-on experience, and problem-solving activities.
Introduction to Generative AI and LLMs: The week began with an introduction to Generative AI and LLMs through an online course that covered the first three lectures. These initial sessions provided a solid foundation in understanding the basics of Generative AI. Setting up connections to AI systems was a critical step, laying the groundwork for more advanced topics and tasks that would follow. This phase was crucial for establishing a strong understanding of the core concepts that would support the week's and future learning activities.
Coursework and Practical Application: As the week progressed, there was a significant focus on both theoretical learning and practical application. The completion of Tutorials 1 and 2, along with the deployment of the ChatGPT model on Azure, marked important milestones. Setting up the development environment for AI projects was another critical task, ensuring that all necessary tools and systems were in place for smooth workflow in the coming days. The learning outcomes during this period included gaining practical experience with deploying AI models and preparing for the coding and project development tasks that were to follow.
Advanced Learning and Research: Mid-week, the focus shifted to more advanced topics, including research on customer trends in meat sales platforms and learning about Prompt Engineering Fundamentals. Lecture 4 introduced the importance of prompt construction in AI interactions, which was further deepened by subsequent lectures on creating advanced prompts and building text generation applications. These sessions provided valuable insights into developing sophisticated AI interactions and the necessary skills to design complex AI systems. The research conducted on meat sales platforms helped in applying these concepts to real-world scenarios, particularly in understanding customer needs and how AI can be tailored to meet these demands.
Development of AI-Powered Applications: The latter part of the week was dedicated to bridging the gap between theoretical knowledge and practical implementation. Lecture 7 focused on building Generative AI-powered chat applications, which was complemented by hands-on work in developing these applications. This period was marked by a strong emphasis on applying the learned AI concepts in practical scenarios, particularly in the development of chat applications that can interact effectively with users.
Webpage Development and Refinement: Towards the end of the week, attention shifted to the development and refinement of a webpage for a meat sales platform. This task involved a combination of technical coding, creative design, and problem-solving to enhance webpage functionality. Throughout this process, there was continuous troubleshooting of errors, leading to significant improvements in webpage performance. This hands-on experience was valuable in enhancing both web development skills and the integration of AI with web-based platforms.
Overall Progress: By the end of the week, there was a clear sense of progress in both technical and theoretical domains. The integration of learned concepts into practical applications was a highlight, particularly in the development of AI-powered chat applications and the refinement of the meat sales platform webpage. The balance between learning, application, and problem-solving laid a solid foundation for continued development in AI and web-based projects in the upcoming weeks. The week concluded with enhanced skills and a deeper understanding of how to effectively integrate AI into real-world applications.