In this four-part series, we explore the evolution of generative AI and its impact on the world. From the human brain’s inspiration to the technological advancements that transformed artificial neurons into powerful language models like ChatGPT, we delve into the history, development, and implications of these innovations.
In part one, we examine the concept of intelligence and its relationship to artificial intelligence. We unravel the complexity of intelligence and discuss how human and artificial intelligence differ in their functioning. We also explore how advances in computer science have revolutionized our understanding of intelligence.
Part two delves into machine learning and adaptation, specifically in tasks such as speech recognition and image identification. We examine how artificial neurons find patterns in data through machine learning algorithms, and discover the mathematics behind this process. We also explore how computers can learn and improve their performance through training and experimentation mechanisms.
In part three, we discuss the factors that propelled the growth of AI, including big datasets and specialized computer chips. We examine how technology innovations such as 3D arcade games and web evolution played a crucial role in shaping intelligent machines. This section highlights how advancements in technology revolutionized AI development.
Finally, part four focuses on generative AI models that emerged in 2022 with ChatGPT’s introduction, which possesses human-like text generation capabilities. We explore the creative potential of these models as they produce remarkable images and deepfakes, pushing boundaries in artificial intelligence. Additionally, we discuss how these generative models are transforming industries by changing the way we interact with technology.
To learn more about AI developments or stay updated on latest news subscribe to our podcast available on Apple Podcasts or Spotify or tune in for a live event on April 4th where experts will answer your questions about AI.
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