What is Dasha?
Dasha is a conversational AI as a Service platform. Dasha lets you create conversational apps that are more human-like than ever before, quicker than ever before and quickly integrate them into your products.
Dasha is a tool in the NLP / Sentiment Analysis category of a tech stack.
Who uses Dasha?
Dasha Integrations
Dasha's Features
- Declarative language for conversation design
- VSCode extension
- native STT, NLP, NLU, NLG and TTS
- Support for external TTS
- Voice over SIP Trunk
- Node.js SDK
- Voice over GRPC
- Text over GRPC
- API-first
- Open developer platform
- Unlimited conversational depth
- High conversational concurrency
- Robust digressions and intents for the human-like experience
- Custom intents training
Dasha Alternatives & Comparisons
What are some alternatives to Dasha?
Amazon SageMaker
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
Azure Machine Learning
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
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.
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.
Amazon Machine Learning
This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
Related Comparisons
No related comparisons found