Teaching BabyAGI

Inevitable and scary?  Agents teaching your models bottom up.

Auto-GPT and BabyAGI: How ‘autonomous agents’ are bringing generative AI to the masses

Autonomous agents may mark an important step toward a world where AI-driven systems are smart enough to work on their own, without need of human involvement.

Auto-GPT and BabyAGI: How ‘autonomous agents’ are bringing generative AI to the masses

By Mark Sullivan  in Fastcompany

Over the past week, developers around the world have begun building “autonomous agents” that work with large language models (LLMs) such as OpenAI’s GPT-4 to solve complex problems. While still very new, such agents could represent a major milestone in the productive application of LLMs.

Normally, we interact with GPT-4 by typing carefully worded prompts into ChatGPT’s text window until the model generates the output we want. But most of us lack the skill and patience to sit and write prompt after prompt, guiding the LLM toward answering a complex question, such as “What is the optimal business plan for capturing 20% of the fingernail-polish market?” Quite naturally, developers have been thinking of ways to automate much of that process. That’s where autonomous agents come in.

In general terms, autonomous agents can generate a systematic sequence of tasks that the LLM works on until it’s satisfied a preordained “goal.” Autonomous agents can already perform tasks as varied as conducting web research, writing code, and creating to-do lists....  ... '

AI as an Agent and More

 Thinking agents and more, lot of definitional info in links below, following up definitions:

If you thought the pace of AI development had sped up since the release of ChatGPT last November, well, buckle up. Thanks to the rise of autonomous AI agents like Auto-GPT, BabyAGI and AgentGPT over the past few weeks, the race to get ahead in AI is just getting faster. And, many experts say, more concerning. in VentureBeat

It all started in late March, when developer Toran Bruce Richards, under the name @significantgravitas, launched Auto-GPT, an “experimental open-source application” connected to OpenAI’s GPT-4 by API. Running on Python, Auto-GPT had internet access, long/short-term memory and, by stringing together GPT calls in loops, could act autonomously without requiring a human agent to prompt every action. With just a goal in mind — such as preparing a podcast — it could research information online, for example, and then without being prompted take further action towards the goal, like preparing a list of topics and titles.

Then, on March 29, @yoheinakajima launched BabyAGI, a “task-driven autonomous agent” that leverages GPT-4, Pinecone‘s vector search, and LangChainAI‘s framework to “autonomously create and perform tasks based on an objective” — say, planning and automatically execute a campaign to grow your Twitter following or creating and running a small content marketing business.