WitWhat is Wit?
Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps and devices.
Wit is a tool in the Text & Language Models category of a tech stack.
Key Features
Voice-enabled Android and iOS appsRasberry Pi based home automation commanded by speechGoogle Glass apps accepting voice commandsRobots and drones dialog interfaces (ROS)SMS-based information or remote control servicesIM-based information or remote control services"Quick add" features a la Google Calendar (replacing a form with free text input)Natural Language querying a la Facebook Graph Search (turning a sentence into a database query)Personal Assistants a la Apple’s Siri
Wit Pros & Cons
Pros of Wit
No pros listed yet.
Cons of Wit
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Wit Alternatives & Comparisons
What are some alternatives to Wit?
Transformers
It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
SpaCy
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
rasa NLU
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
