?? The Future is Flow Engineering
I stand by what I said a year ago. It's becoming evident that in three years, we will outsource everything that requires low to medium cognitive competence in the virtual space. We will focus on our life strategies, our relationships, and our next business moves.
For this, we will need strong AI models (include tool use and you have AI Agents) and AI Agents that can work hand-in-hand.
… which leads us to Flow Engineering.
Let us examine this dynamic field in the next 6 minutes. ??
P.S.: Below, you’ll find in the highlights Claude 3.5 Artifacts, Mistral AI’s update, Musk’s next move, and Ilya Sutskever’s SSI Inc. ???
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The Future is Flow Engineering
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When we look at the next evolutionary step, which is already present to some degree but not yet fully mature, it is clear that it’ll be AI Agents.
Plenty of ideas, projects, and products can already be seen.
They will first achieve widespread adoption across industries before we go about our lives with a fleet of AI Agents in the professional and private space.
What are AI Agents?
An AI agent is a language model with tool usage. It autonomously interacts with its environment, collects data, makes decisions, and performs tasks to achieve human-set goals without constant human input.
AI Agents can take on many roles. Be it a frontend developer, virtual assistant, market researcher, or content writer of sorts.
In the chapter about AI Agents in GenAI-Navigating AGI [book] I describe a day in a life with a fleet of agents (orchestrated by your AI Chief of Staff).
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The skill of AI Agents is determined by their LLM’s quality and tool uses - number and functionality of APIs they include.
For instance, Claude 3.5 Sonnet is currently the most powerful language model, and with its artifact feature it comes with its own workspace. See below for more.
But there is more to them. For a deep-dive, see my GenAI book.
AI Agents can work as a single agent or in a multi-agent framework. There are different team setups for multiple agents: e.g. joint chat or hierarchical chat.
What is Flow Engineering?
Flow Engineering involves designing and optimizing the interactions between AI Agents so that they can achieve the most optimal outcome/ solve the tasks at hand.
Flow Engineering improves accuracy by iteratively refining the solution between AI Agents. A coding agent’s output could be tested thoroughly by....
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If you want to read the full version, CLICK HERE ---->>> FULL VERSION
And… a wrap!
Spoiler alert: this week I will explore what else I can build with Claude 3.5 Sonnet (and its Artifacts).
Martin
Digital Marketing Executive at Oxygenite
3 个月Flow Engineering promises an exciting future. Discover how SmythOS leverages strong AI models and agents to enhance productivity and innovation. #AI #SmythOS #FlowEngineering
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