Most companies are interested in using intent classifiers. They have built huge installation bases that run on them. They have no reason to discourage their users from using the system they have built.
But botpress is llm-first
llms are much better at identifying intents than the old intent classifiers. That's why we rewrote it from scratch to be llm-first in 2020.
We knew better technology had arrived, and rather than clinging to legacy technology, we invested in making the leap.
Are we going to add intent classifiers?
No. We care too much about the experience of our builders and their users.
Intent classifiers are a tool of the past. That is why we have bet heavily on llms.
As llms continues to improve, so will the ai agents built on botpress. We're ready and excited to continue raising the bar for what conversational AI can do.
If you want to create flexible AI agents based on llms, don't hesitate to start building on botpress. It's free.
25 genai use cases for AI agents and chatbots
Generative AI is on every company's list for slovenia phone numbers next year. But what are the best use cases for AI agents and chatbots?
Botpress
genai use cases" on black and blue background.
AI agents and AI chatbots are not just buzzwords. They are powering business processes around the world and are growing rapidly in popularity.
The real applications of AI agents range from the AI assistants on your devices to the customer service agent you interact with online.
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Are you interested in use cases for AI agents and chatbots? Let's explore 25 of the ways organizations are employing AI technology today:
customer facing use cases
Customer-facing AI agents are the most well-known type of applied AI agents. These agents interact directly with users and transform the customer experience by providing fast, reliable and personalized assistance.
Chances are you've already interacted with one while shopping, troubleshooting, or browsing.
Customer service
Customer service chatbots, the most common of all, excel at managing large volumes of queries, offering instant answers to frequently asked questions, solving problems, and guiding users to useful resources.
By integrating with knowledge bases and ticketing systems, they streamline support processes, reduce wait times, and ensure customers feel heard, without overwhelming human agents.
