16 tutorials
Explore the new era of digital interaction with LLM-powered virtual AI assistants. This article offers rare insights into the architecture
Explore prompt flows for AI copilots and how LLMs like GPT can be adapted to your application to enhance user interaction through natural language.
This tutorial guides you through creating an intelligent bot fetching and sharing relevant news updates on Twitter.
How the Swiss economy is adopting OpenAI — from companies yet to explore its potential to those with a proven track record of implementing it.
Discover typical challenges and learn how to engineer prompts for the successful use of ChatGPT in a business context.
Learn about digital friction and how OpenAI's GPT technology can help reduce it, improving user experience across products and services.
Discover the unique value proposition of OpenAI's GPT models, including ChatGPT, and why they're causing such a buzz in the world of AI.
Learn about the top 9 use cases for implementing OpenAI's GPT models such as ChatGPT, and Davinci in a business context.
This article shows how to employ a bag of words model and cosine similarities to create a content-based movie recommender with Python.
This article shows how to build a recommender system for movies with python. The approach used is based on collaborative filtering.
In this article, we will create a Twitter signal bot in Python that analyzes crypto prices for notable events and notifies users on Twitter.
This article lays the foundation for building a Twitter bot by showing how to submit tweets via the Twitter API using Python and Tweepy.
This Python tutorial shows how to use Auto-ARIMA for time series forecasting using the example of forecasting beer sales.
This tutorial shows how to build a customer churn prediction model in telecommunications. We will use Python and measure feature importance.
This article deals with sentiment analysis and shows how to build a sentiment classifier using logistic regression and naive Bayes in Python.
Learn to use logistic regression to solve two-class prediction problems in Python by classifying online shoppers' purchase intentions.
