
AWS Lambda
Amazon API Gateway
Amazon S3
Google App Engine
DynamoDB
Google Cloud Functions
Amazon AWS
AWS Elastic Beanstalk
Titanvx
Google Cloud Natural Language API
NLP Cloud
Amazon Comprehend
GPT-3 Demo
Textrazor
Tradeswell
IBM Watson Assistant
We build cutting-edge software that automates the processing and understanding of natural language data.
AWS Lambda
TitanvxTitanvx'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, AWS Lambda seems to be more popular. It has been mentiond 297 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.
AWS Lambda is a service that runs your code without you managing any servers. You write your code, deploy it to Lambda, and it takes care of the infrastructure โ servers, networking, security, and scaling. - Source: dev.to / about 2 months ago
Clay can replace the Lambda and API chain if you'd rather avoid custom code. You set up a Clay table as the enrichment layer, trigger it from Segment via webhook, and it handles the waterfall and CRM push without writing a function. The tradeoff: less control over scoring logic and higher cost per enriched contact. - Source: dev.to / about 1 month ago
To show why this matters, take a look at the following example. I have three AWS Lambda functions, Lambda being the serverless compute service, that each handle a different endpoint on the same API. But, almost everything about them is the same. They have the same runtime, the same memory configuration, and nearly the same structure. The only differences are the name, handler, and possibly some environment variables. - Source: dev.to / about 2 months ago
Query Expansion and Decomposition: Amazon Bedrock query expansion broadens search; AWS Lambda query decomposition breaks complex queries into sub-queries; AWS Step Functions orchestrates multi-step retrieval. - Source: dev.to / 2 months ago
You need to understand synchronous and asynchronous inference patterns, event-driven architectures using Amazon EventBridge, workflow orchestration with AWS Step Functions, data processing with AWS Lambda, state management with Amazon DynamoDB, and security with AWS Identity and Access Management (IAM). The exam tests your ability to design serverless architectures that scale automatically, handle failures... - Source: dev.to / 3 months ago
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
Google Cloud Natural Language API - Natural language API using Google machine learning
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
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.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Amazon Comprehend - Discover insights and relationships in text