Text-to-SQL with LLMs - Embracing the Future of Data Interaction
Explore the future of database interaction with our comprehensive guide on Text-to-SQL technology using Large Language Models (LLMs).
Insurance
14 tutorials
Building a Virtual AI Assistant (aka Copilot) for Your Software Application: Harnessing the Power of LLMs like ChatGPT
Explore the new era of digital interaction with LLM-powered virtual AI assistants. This article offers rare insights into the architecture
Building "Chat with your Data" Apps using Embeddings, ChatGPT, and Cosmos DB for Mongo DB vCore
Use OpenAI to enable users to chat with your business data by learning how to build a custom ChatGPT using Cosmos Mongo DB vCore and Python.
How Far are Swiss Enterprises in Adopting OpenAI's GPT Models?
How the Swiss economy is adopting OpenAI — from companies yet to explore its potential to those with a proven track record of implementing it.
ChatGPT Prompt Engineering Guide: Practical Advice for Business Use Cases
Discover typical challenges and learn how to engineer prompts for the successful use of ChatGPT in a business context.
Using LLMs (OpenAI's ChatGPT) to Streamline Digital Experiences
Learn about digital friction and how OpenAI's GPT technology can help reduce it, improving user experience across products and services.
What is the Business Value of ChatGPT and other Large Generative Language Models?
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.
9 Business Use Cases of OpenAI's ChatGPT
Learn about the top 9 use cases for implementing OpenAI's GPT models such as ChatGPT, and Davinci in a business context.
How to Use Hierarchical Clustering For Customer Segmentation in Python
In this tutorial, we will use Python and the scikit-learn library to apply hierarchical clustering to a dataset of customer data.
Unlocking the Potential of Machine Learning in the Insurance Industry: Five Use Cases with High Business Value
Machine learning is transforming the insurance industry by providing new and powerful ways to analyze and manage risk.
Predictive Policing: Preventing Crime in San Francisco using XGBoost and Python
This article predicts crime types in San Francisco with the XGboost classifier in Python and displays them on a crime map of SF
Tuning Model Hyperparameters with Grid Search at the Example of Training a Random Forest Classifier in Python
Learn how to tune the model hyperparameters of a Random Forest that predicts the survival of Titanic passengers using grid search in Python.
Training a Sentiment Classifier with Naive Bayes and Logistic Regression in Python
This article deals with sentiment analysis and shows how to build a sentiment classifier using logistic regression and naive Bayes in Python.
Classifying Purchase Intention of Online Shoppers with Python
Learn to use logistic regression to solve two-class prediction problems in Python by classifying online shoppers' purchase intentions.