Join François Chollet, Creator of Keras, as he discusses creating Keras 3, integrating it with Gemma and Kaggle, artificial general intelligence, and the limitations of large language models in achieving human-level AI.
Keras 3's multi-backend feature enhances flexibility in model development.
AGI remains a distant goal due to limitations in current large language models.
AI's transformative potential should be viewed cautiously amidst concerns over job displacement.
Deep dives
Francois Chollet's Early Tech Interest and Learning Path
Francois Chollet's journey into tech and AI began at a young age when he was fascinated with computers. Despite struggling with traditional schooling, he took the initiative to start learning about tech and AI on his own by listening to neuropsychology lectures online. This self-driven learning led him to dive deep into math and physics, eventually leading to a focus on engineering and robotics.
Evolution of Keras and its Integration with Major AI Frameworks
Francois Chollet's creation, Keras, originally developed as part of his personal projects, evolved into a widely used deep learning library in Python. With its success, Keras was integrated with major AI frameworks like TensorFlow and PyTorch. The recent Keras 3 release made the library multi-backend, allowing users to choose the most suitable framework for their models, enhancing performance and flexibility.
Challenges in Artificial General Intelligence (AGI)
Francois Chollet points out the limitations of current large language models (LLMs) in achieving AGI. While LLMs excel at memorizing and recalling data, they lack true adaptability and reasoning abilities seen in human intelligence. Francois emphasizes that AGI is still a distant goal due to the gap in comprehension and problem-solving capabilities between LLMs and human intelligence.
Managing Hype and Realities of AI Deployment
Francois Chollet acknowledges the hype around AI and large language models but cautions against equating them with true artificial general intelligence. While LLMs have practical applications, Francois highlights concerns around their deployment at scale, including impacts on culture and certain job sectors. He stresses that while AI has transformative potential, it is not an existential threat in the near future.
The Future of AI and Human-Level Intelligence
Francois Chollet offers insights into the path towards human-level AI, emphasizing the need for efficient learning, adaptability, and reasoning abilities beyond current LLM capabilities. He envisions a gradual progression towards advanced AI, noting that LLMs may play a role but are not the sole solution. True human-level intelligence remains a complex and distant goal in the field of artificial intelligence.
Meet François Chollet, creator of Keras, software engineer, and AI researcher at Google. Join François and hosts Ashley Oldacre and Gus Martins as they discuss how Keras 3 was created, integrating Keras 3 with Gemma and Kaggle, artificial general intelligence (AGI), and much more!