Eu tenho uma amiga que gosta de conversar com IA de personagens diversos. A gente joga um rpg atualmente que tem um personagem que ela ama, então eu decidi que criaria um chatbot desse personagem para ela. Porém eu não estou conseguindo achar muitos meios e formas baratas (no meu caso eu preferiria que fosse de graça) para criar essa IA. Alguém teria algum site que eu possa criar um chatbot de conversa que interpreta um personagem?
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I received an email from a business associate asking me to check out this AI chatbot that the website says is “The Automated Sales and Marketing Agent with a Human Touch”.
The website is netingear.umbrella-sites.com which sounds a bit fishy to me. And I can’t seem to find much in the way of reviews.
Has anyone heard of this product?
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AI automation agency that specializes in selling chatbots for various sectors like e-commerce, insurance, or banking . what is the best model that i can do fine tunning to, which is low cost ( not like llama 2 cause it needs much ressources )
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hi, just looking if someone has any clue about the topic.
i recently watched a swedish podcast were they interviewed a AI expert. during the podcast, he said that there are users of AI bot (likely erp) who hires actors or equivalents to ”act” as their virtual AI lover IRL.
My questions then,
•Does anybody know about such a thing? i have tried google without any results, and frankly have no clue where to look.
•Could it be that due to the adult content/service which is likely illegal in many countries, making people stay quiet about it?
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Hi everyone, I have created a therapist chatbot on this new app called Rody. I want it to be the most human and professional as possible, and generally felt the most comfortable and trust-worthy for users. This is because I find AI therapist is the most suitable option for me, and if it’s more developed, and can help more people like me, especially when we only get more and more busy.
I hope you guys can try it and help me improve it. You can download the app on iOS and Android.
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So recently, we have been experimenting with knowledge bases, and how information is structured is vital.
In some sense, it directly relates to the context and overall meaning. It also makes it easier for LLMs to answer questions accurately and reduces hallucination.
And so we created a few experiments, that you can play with and test it yourself.
But first, why does Information Structure Matter?
Imagine a library. One room has books strewn everywhere, titles mixed up, and no discernible order. In another room, the books are organized by subject, then by author, then by publication date. Which room would help you find the book you want more efficiently?
LLMs are similar. The way knowledge is presented and organized dictates not only their understanding but also their output.
This considers elements like URL structures, folders, and how information is interrelated. By defining the proper context, you can highlight what’s critical.
Delving deeper, this looks at the composition of individual pieces of information — from structure and semantics to formatting and summaries.
Let’s dive into our findings on the first aspect:
At its core, informational hierarchy is about context. Whether it’s a URL on a website or the structure of folders within a system, hierarchies set the scene and help LLMs understand the importance and relevance of different data points.
Consider this:
– ChatbotConferences.com/conferences/2019/nyc suggests there are multiple events across different cities.
– ChatbotConferences.com/new-york-city offers just a city, which, out of context, is ambiguous.
– ChatbotConferences.com/nyc/2019 indicates multiple NYC events but omits a broader context.
We started on a quest to understand the weightage and importance hierarchies. We build two chatbots with their primary differentiation being the organization of their hierarchy:
– Bot 1: Trained on multiple pages, each representing a distinct event and year.
– Bot 2: Trained on a consolidated page that collates all the agendas.
>>>> The result? Dive in and test our ‘Good Bot’ and ‘Bad Bot’ for yourself here.<<<
The Way Forward
Structure is just the tip of the iceberg. If you’re intrigued and keen to delve deeper into the art of building bots using knowledge bases, I have exciting news!
Join us in our upcoming Live Workshops at the Chatbot Conference.
Not only will you be building a bot harnessing the might of knowledge bases, but you’ll also have the chance to get certified.
Dive in and secure your place here.
Cheers!
Stefan
Mastering Knowledge Bases: The Key to Transformative Chatbots was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
If you’ve ever built a chatbot, you’ve run into the question of how to give it “memory”.
Since LLMs are stateless by default, it falls on us to make sure our chatbots can recall information and have a fluid conversation.
I put together a quick guide with 4 different ways to give your chatbot more memory. Ranging from easy to implement, to more technical (Embeddings + RAG).
Feel free to check it out here, hope it’s helpful.
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