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API StatusChangelog
AdaTest
ByAdaTestAdaTest

AdaTest

#85in Text & Language Models
Discussions0
Followers1
OverviewDiscussions

What is AdaTest?

It uses language models against themselves to build suites of unit tests. It is an interactive (and fun!) process between a user and a language model that results in a tree of unit tests specifically adapted to the model you are testing.

AdaTest is a tool in the Text & Language Models category of a tech stack.

Key Features

Uses language models against themselves to build suites of unit testsInteractive process between a user and a language

AdaTest Pros & Cons

Pros of AdaTest

No pros listed yet.

Cons of AdaTest

No cons listed yet.

AdaTest Alternatives & Comparisons

What are some alternatives to AdaTest?

SpaCy

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

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.

rasa NLU

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.

Gensim

Gensim

It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.

Amazon Comprehend

Amazon Comprehend

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.

Google Cloud Natural Language API

Google Cloud Natural Language API

You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.

AdaTest Integrations

Python are some of the popular tools that integrate with AdaTest. Here's a list of all 1 tools that integrate with AdaTest.

Python
Python

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