Google's expert on machine learning and AI, Dan Mbanga, discusses the impact of transformers on AI applications like chatbots and ChatGPT. They explore the evolution of AI, the challenges of replicating human cognition, neural networks, deep learning, job security in writing and voice industries, and the creation of virtual representations through AI technology.
AI serves as a ubiquitous tool in enhancing daily lives and solving complex problems.
AI incorporates learning components that observe data, deviating from traditional deterministic algorithms.
Transformers provide scalability and efficiency in processing large amounts of data, enhancing technological advancement.
Deep dives
AI in Science Fiction and Reality
AI in science fiction has often been portrayed as dangerously powerful, like Skynet in Terminator or Hal 9000 in 2001: A Space Odyssey. However, in reality, AI has become more about practical applications, such as voice-activated assistants, social media algorithms, and traffic management systems.
The Evolution of AI Development
The progress in AI development has been remarkable, transitioning from the fantasy of sentient machines to a reality where AI serves as a ubiquitous tool enhancing our daily lives and solving complex problems.
Understanding Artificial Intelligence vs. Normal Programming
AI distinguishes itself from normal programming by incorporating learning components that observe data, deviating from the deterministic nature of traditional algorithms. AI involves learning by observation, mimicking human learning processes.
Applications of AI in the Real World
AI has found diverse applications in the real world, such as email spam filtering, recommendation systems on various platforms like Netflix and Amazon, and content moderation on social media. These AI systems learn and adapt by processing vast amounts of data.
Transformers and Multi-Modal AI
Transformers, as a revolutionary architecture in artificial neural networks, provide scalability and efficiency in processing large amounts of data. The attention mechanism in transformers analyzes relationships within data inputs. Multi-modal AI blends text, images, and videos to enhance creative and collaborative capabilities, indicating a leap in technological advancement.
Transformers aren’t just action figures. Chatbots, ChatGPT, and other AI-powered applications using transformers are changing the way we get information and communicate. It seems like these applications have a brain of their own, but is that the case? Google’s Dan Mbanga breaks down what you need to know about how machine learning works.
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode