November 14, 2022 Natural Language Processing, Python

Datatang Launches New Parallel Corpora for Machine Translation

November 14, 2022 Python

Python REST APIs With Flask, Connexion, and SQLAlchemy – Part 1

Most modern web applications are powered by a REST API under the hood. That way, developers can separate the front-end code from the back-end logic, and users can interact with the interface dynamically. In this three-part tutorial series, you’ll build a REST API with the Flask web framework. You’ll create a foundation with a basic Flask project then add endpoints and connect them to a SQLite database. You’ll test your API with Swagger UI API documentation that you’ll build along […]

November 14, 2022 NLP

GPT-3: What is GPT-3 and what can it do for your business?

There’s been a lot of talk about GPT-3 and generative AI in the news, social media, and probably from every AI practitioner or vendor whom you’ve been speaking with lately. Everyone is super excited about the future that such AI tools hold. But what exactly is this AI technology specifically and what does it mean for your business and your AI problems? Let’s explore! What is GPT-3? What Can GPT-3 Do? The Business Benefits of GPT-3 Is traditional ML going away […]

November 13, 2022 Natural Language Processing, Python

Core Values and the Ideal Model of the SimSimi Chatbot

In our previous post “How an AI Chatbot Works: A Quick Guide to SimSimi’s Architecture,” we demonstrated the operating mechanism behind our chatbot SimSimi. In today’s post, we would like to introduce you to SimSimi’s core values and essential functions needed to realize those values.

November 12, 2022 Natural Language Processing, Python

Legal NLP 1.2.0 for Spark NLP has been released! ⚖️

November 11, 2022 Python

A/B Testing Using Python

A/B testing, also known as split testing, compares two different versions of something (mobile app, web page, advertisement, etc.) to determine which one performs better. A/B testing is a common statistical test, especially in marketing strategy. We can see which version is making more purchases or more clicks after split testing, and then we can make strategic decisions. Many companies use A/B testing in the new technology world, like Instagram, Facebook, Google, LinkedIn, etc.