Hosts: Anthony Batt, Shane Robinson and Francesca Vera from the Future-Proof Podcast by CO/AI -
The conversation explores the concept of AI agents, also known as and agentic AI (AI Agents), and their potential impact on various aspects of work and life. It delves into the definition of AI agents, their role in reducing cognitive load, and the user experience. The discussion also touches on the potential use cases of AI agents and the challenges associated with their development and implementation. The conversation delves into the future of AI agents and agentic  (AI Agent) workflows, exploring their impact on various industries and job roles. It emphasizes the importance of human connection and the need for AI literacy to adapt to the evolving landscape of work. The discussion also touches on the potential for new entrepreneurial opportunities and the value of interpersonal skills in the age of technological advancement.

AI Agent Patterns discussed:
Reflection: The LLM examines its own work to come up with ways to improve it.

Tool use: The LLM is given tools such as web search, code execution, or any other function to help it gather information, take action, or process data.

Planning: The LLM comes up with, and executes, a multistep plan to achieve a goal (for example, writing an outline for an essay, then doing online research, then writing a draft, and so on).

Multi-agent collaboration: More than one AI agent work together, splitting up tasks and discussing and debating ideas, to come up with better solutions than a single agent would.



Andrew Ng links
   • What's next for AI agentic workflows ... 
  / andrew-ng-on-agentic-workflows 

AgentBench https://arxiv.org/

Join our community: getcoai.com
Follow us on Twitter or watch us on Youtube
Get our newsletter!