We build cutting-edge software that automates the processing and understanding of natural language data.
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Titanvx's answer
Titan NLP is an integrated toolset for processing unstructured information. It uses a new approach to NLP based on combining transformers with knowledge graphs.
Titanvx's answer
Titan provides more dimensions for text processing. It also delivers higher accuracy than most industry-standard products.
Titanvx's answer
NLP Developers and Data Scientists
Titanvx's answer
We set out to design an autonomous system for developing intelligent agents. Titan NLP is the first product suite based on this new cognitive architecture.
Titanvx's answer
Machine learning, cognitive architectures, knowledge graphs, Natural language processing, knowledge representation and reasoning.
Titanvx's answer
Early days yet, but Titan NLP is currently been piloted in the defense and space industry.
Based on our record, Amazon Machine Learning seems to be more popular. It has been mentiond 2 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.
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 2 years ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 3 years ago
Google Cloud Natural Language API - Natural language API using Google machine learning
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
OpenAI Universe - Platform for measuring and training AI agents
Lobe - Visual tool for building custom deep learning models
NLP Cloud - High performance AI models, ready for production, served through a REST API. Fine-tune and deploy your own models. Easily use generative AI in production.
Apple Machine Learning Journal - A blog written by Apple engineers