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Getting Started With Agentic Workflows
Latest   Machine Learning

Getting Started With Agentic Workflows

Author(s): Omer Mahmood

Originally published on Towards AI.

Moving beyond AI tools to automating high-value processes!

This member-only story is on us. Upgrade to access all of Medium.

Image created for free use at ideogram.ai (see Alt text for prompt)

Reader Audience [🟢⚪️⚪️]: AI Beginners, familiar with popular models, tools and their applications

Level [🟢🟢⚪️]: Intermediate topic, combining several core concepts

Complexity [🟢⚪️⚪️]: Easy to digest, no mathematical formulas or complex theory here

One of the hottest topics in AI in recent times are agents. They are essentially the next iteration of LLMs (large language models) that are capable of taking a prompt and then carrying out specific tasks with some understanding or context of the outside world, to achieve some goal, without the need for human supervision.

For example, Anthropic recently announced that it had taught its Claude AI model to be able to complete a range of tasks on a computer, such as search the web, open applications and even input text using the keyboard and mouse.

Although agents are still in the early stages of what’s possible β€” the concept of being able to have a symphony of multiple agents (with different capabilities) collaborating together to complete independent, complex tasks, or workflows doesn’t seem too far-fetched.

The definition of β€œagentic” is used to describe something that exhibits the behaviour of an… Read the full blog for free on Medium.

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