Super Data Science: ML & AI Podcast with Jon Krohn 818: In Case You Missed It in August 2024
Sep 13, 2024
Shingai Manjengwa, a thought leader on the future of work, discusses the necessity of continuous education in a rapidly evolving job landscape. Daniel Hulme shares insights on structuring AI systems within businesses, while Jerry Yurchisin emphasizes the role of data engineering in a decentralized world. Nick Elprin elaborates on the advantages of decentralization for technology and business, highlighting the transformative power of AI agents in handling complex tasks. Together, they envision a future where learning and adaptability drive organizational success.
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AI Agents Defined
- AI agents are software leveraging AI, often LLMs, to perform tasks.
- Specialized agents excel in specific areas, like travel planning, bookings, or wallet management.
Travel Agent Collective
- Shingai Manjengwa uses airline travel as an example of specialized agents.
- Different agents could handle itinerary planning, bookings, and wallet management, forming a "travel collective."
Agentic AI vs. Chatbots
- Agents act autonomously, unlike chatbots that react instantly.
- They use LLMs for natural language processing and can execute tasks independently.