Software Alternatives, Accelerators & Startups

Top 4 Conversational AI Products in Natural Language Processing

The best Conversational AI Products within the Natural Language Processing category - based on our collection of reviews & verified products.

BLOOM Shaip TaQadam Image Annotation

Summary

The top products on this list are BLOOM, Megatron-Turing NLG, and Shaip. All products here are categorized as: Conversational AI. Natural Language Processing. NLP is a field in machine learning with the ability of a computer to understand, analyze, manipulate, and potentially generate human language. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. 1
    BLOOM is an autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources.

    #Conversational AI #Natural Language Processing #AI Assistant 5 social mentions

  2. Megatron-Turing Natural Language Generation model (MT-NLG), is the largest and the most powerful monolithic transformer English language model with 530 billion parameters.

    #Conversational AI #Natural Language Processing #AI Assistant

  3. 3
    A complete Training Data Platform to create, collect, curate, label, & annotate datasets for your AI / ML use cases i.e. Conversational AI, Chatbots, Facial Recognition, NLP & Computer Vision

    #AI Platform #Data Science And Machine Learning #Training Data 1 user reviews

  4. NOTE: TaQadam Image Annotation has been discontinued.
    TaQadam released a new image annotation app: data labeling tool for computer vision

    #Data Labeling #Data Science And Machine Learning #Training Data

Related categories

If you want to make changes on any of the products, you can go to its page and click on the "Suggest Changes" link. Alternatively, if you are working on one of these products, it's best to verify it and make the changes directly through the management page. Thanks!