rasa NLU VS Lacona

Beyond raw language models, NLP engines like Rasa and Dialogflow offer frameworks for designing, building, and improving conversational flows. They help in intent recognition, entity extraction, and dialogue management, which are crucial for a coherent conversation structure. - Source: dev.to / about 2 months ago

There are frameworks out there for doing that kind of thing, see https://rasa.com/ for example. It's not using any LLMs at the moment, just BERT and DIET mostly but it's highly customizable and you could likely bring in an LLM for doing some interesting things to handle more complex messages from users. - Source: Hacker News / 12 months ago

Chatbot frameworks: Utilize chatbot frameworks such as Botpress, Rasa, or Microsoft Bot Framework to streamline development. - Source: dev.to / about 1 year ago

Rasa is a popular tool used right now to build these applications. If you're looking for a serious turn-key solution I would check out Vectara. Source: about 1 year ago

Another example is RASA, one of the most popular platforms for creating conversational AI assistants. On the accepted AI quality scale, RASA reaches levels 3 and 4. It means that the "robot" not only understands humans with high accuracy in a given contextual field but also learns to recognize contradictions and ulterior motives. - Source: dev.to / over 1 year ago

I wrote and maintain Lacona, a Mac productivity App (https://lacona.app). The majority of my revenue comes from being a part of the Setapp subscription service. - Source: Hacker News / over 2 years ago

I love these interfaces and use them wherever I can. On MacOS I use Alfred for launching applications, killing processes, controlling music playback, searching the web and my filesystem, swapping file tabs, and tons more. Spotlight search, which is built in, is also very competent. For the command line I use fzf which can add fuzzy search for all sorts of things. Built in its ctrl+r functionality I find very... - Source: Hacker News / almost 3 years ago