AI Journey VBlog

 

 

Blog content is created by AI from my first V(ideo)Blog at https://www.youtube.com/playlist?list=PLClRWhkU0HEcZo2jDgscHa0UGcld6v7ZP.

• Evolution of AI in Industry Ganesan Senthilvel outlined the four phases of AI's industrial evolution, beginning in 1943 with neuron research and progressing to machine learning and deep learning. They explained that the rise of social media around 2010 shifted data from structured to unstructured formats, necessitating high-powered GPU computing and neural algorithms to process large volumes of unstructured data.
• AI Concepts and Models Ganesan Senthilvel detailed key AI concepts such as training data, model building, and automatic inference, noting that ML data mining identifies patterns for prediction. They explained regression models are foundational for big data predictions and that recurrent neural networks process sequences of words by feeding results back into the processing layer.
• Generative AI and Recent Innovations Ganesan Senthilvel discussed the recent explosion in AI's popularity, attributing it to generative AI, particularly ChatGPT, which reached one million users in just five days. They highlighted the difference between traditional AI, which analyzes existing information, and generative AI, which produces entirely new content like text, images, or code. They also introduced Retrieval-Augmented Generation (RAG) for trusted information retrieval and Agentic AI for building complex business workflows, in addition to the Model Context Protocol (MCP) framework for universal AI model communication.
• AI System Layers and Learning Approach Ganesan Senthilvel described the five distinct layers of an AI system, starting with the interaction layer as the foundation and moving up through intelligent, engineering, observability, and agent layers, where human and AI interact. They emphasized that hands-on coding and consistent daily learning are crucial for staying current in computer engineering and becoming an engineering leader.