Sign up to save your podcasts
Or
Share #3 [Basics] Decoding AI_ ML, DL, GenAI, LLMs, and ChatGPT
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
#3 [Basics] Decoding AI_ ML, DL, GenAI, LLMs, and ChatGPT
🎙️ Episode Title: The Evolution and Future of Artificial Intelligence
In this episode, we take you on a compelling journey through the evolution of Artificial Intelligence—from its rule-based roots to the cutting-edge world of large language models (LLMs) and beyond.
We begin with the symbolic AI era of the 1950s, where early pioneers believed human intelligence could be replicated with logic and formal rules. Discover how systems like MYCIN and DENDRAL marked the dawn of expert systems, and why these early breakthroughs eventually gave way to the first AI winter.
As computing power increased and data grew abundant, a new era emerged: machine learning. We dive into the rise of neural networks, the revival of backpropagation in the 1980s, and the massive leap that deep learning brought in the 2010s. Hear how milestones like AlexNet and BERT paved the way for today's most powerful models.
Then, we arrive at the present—where LLMs like GPT and ChatGPT are transforming how we work, communicate, and create. What makes these models so powerful? And how are they being applied across industries?
Looking ahead, we explore the future of AI, from generative AI tools that produce art, code, and video, to autonomous agents capable of self-directed tasks. We also cover edge AI, where intelligence lives on devices rather than in the cloud, and the broader implications of the pursuit of Artificial General Intelligence (AGI).
Throughout this episode, we touch on the real-world impact of AI—on healthcare, finance, education, logistics, and more—as well as the ethical questions and societal shifts that come with it.
Whether you’re a curious newcomer or a seasoned tech enthusiast, this episode will give you a comprehensive and accessible look at where AI came from, where it is now, and where it’s heading next.
đź”— Read the full article: https://bytes.shanmugaganesh.in/15-2
View all episodes
By Shanmuga Ganesh Kalasalingam🎙️ Episode Title: The Evolution and Future of Artificial Intelligence
In this episode, we take you on a compelling journey through the evolution of Artificial Intelligence—from its rule-based roots to the cutting-edge world of large language models (LLMs) and beyond.
We begin with the symbolic AI era of the 1950s, where early pioneers believed human intelligence could be replicated with logic and formal rules. Discover how systems like MYCIN and DENDRAL marked the dawn of expert systems, and why these early breakthroughs eventually gave way to the first AI winter.
As computing power increased and data grew abundant, a new era emerged: machine learning. We dive into the rise of neural networks, the revival of backpropagation in the 1980s, and the massive leap that deep learning brought in the 2010s. Hear how milestones like AlexNet and BERT paved the way for today's most powerful models.
Then, we arrive at the present—where LLMs like GPT and ChatGPT are transforming how we work, communicate, and create. What makes these models so powerful? And how are they being applied across industries?
Looking ahead, we explore the future of AI, from generative AI tools that produce art, code, and video, to autonomous agents capable of self-directed tasks. We also cover edge AI, where intelligence lives on devices rather than in the cloud, and the broader implications of the pursuit of Artificial General Intelligence (AGI).
Throughout this episode, we touch on the real-world impact of AI—on healthcare, finance, education, logistics, and more—as well as the ethical questions and societal shifts that come with it.
Whether you’re a curious newcomer or a seasoned tech enthusiast, this episode will give you a comprehensive and accessible look at where AI came from, where it is now, and where it’s heading next.
đź”— Read the full article: https://bytes.shanmugaganesh.in/15-2