Our motto is 'NLP for the masses'. As you all know NLP requires specialized developers to build language based apps. We usually talk about training models and picking the right algorithm for an NLP task like for example Sentiment Analysis. This may be daunting for non-NLP developers if they are not well versed with the subject.
Any developer with an idea related to any app which requires text or speech processing should be able to develop that idea into reality. We at FirstLanguage enable that by providing an easy to use API at an affordable cost for a wide range of NLP tasks.
We cater to basic building block tasks like Stemming, Lemmatizer, Morphological Analyzer, POStag etc to advanced tasks like Sentiment Analysis or classification, Question Answering, Translation, Summarization etc.
We provide a Free plan to try our API or build your prototype, no credit card required. It is free for life until you decide to upgrade.
We provide API documentation which explains each and every API and what it does and how to use it. The documentation page also provides Try It feature which you can use to try our APIs directly in the browser. The documentation also provides code snippets in multiple coding languages.
We also provide SDKs for our API in Python and Typescript.
Based on our record, rasa NLU seems to be more popular. It has been mentiond 22 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 / 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: over 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
Hugging Face - The Tamagotchi powered by Artificial Intelligence 🤗
Dialogflow - Conversational UX Platform. (ex API.ai)
Wit.ai - Easily create text or voice based bots that humans can chat with on their preferred messaging...
Microsoft Bot Framework - Framework to build and connect intelligent bots.
Replika - Your Ai friend
Botpress - Open-source platform for developers to build high-quality digital assistants