The autonomous node debuted in july 2024 on botpress, a platform for building ai agents. The autonomous node is capable of automating multi-step workflows and making decisions autonomously.
You can create a standalone node and prompt it with a simple line of text, such as 'its purpose is to generate qualified leads. Create leads in salesforce when a user indicates purchase intent."
autonomous nodes
the ai agent you build using the paraguay mobile phone number autonomous node will perform various actions to achieve its goal, independent of human-designed workflows. You can also switch between different llms as needed, making the decision to prioritize speed or power.
Create your own freelance agent
botpress is the only ai agent platform that allows you to create truly autonomous agents.
Open and flexible, botpress studio enables infinite use cases across industries, from hr to lead generation. Our pre-configured integration library and extensive tutorials allow users to easily create ai agents from scratch.
Start building today. It's free.
Or contact our sales team. Pt for almost everything, but how accurate is your information?
Chatgpt already has hundreds of millions of users. Produce content, help with brainstorming, write code, and act as a general tutor.
But to what extent should you trust the responses of the ai chatbot?
Create ai agents
create gpt-powered chatbots
start now
no credit card needed
how does chatgpt generate responses?
To better understand the quality of the information that chatgpt offers you, let's start by understanding how the ai chatbot selects information.
Chatgpt is a large language model (llm), designed to imitate human language.
When you generate a response, you are not researching or viewing web pages. You are generating a series of words based on your training data. This means that sometimes a llm will hallucinate (that is, perceive non-existent patterns and produce incorrect information).
What is the accuracy of chatgpt?
Chatgpt-4o is accurate 88.7% of the time, according to massive multi-task language understanding (mmlu).
The mmlu test quantifies the intelligence of large language models, pitting the best ai models against each other.
However, it is difficult to establish an exact measure of precision.
