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).
#AI in Finance
18 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
The Dance of Dialogues: Designing a Prompt Flow for an LLM-powered AI Copilot
Explore prompt flows for AI copilots and how LLMs like GPT can be adapted to your application to enhance user interaction through natural language.
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.
Univariate Stock Market Forecasting using Facebook Prophet in Python
This tutorial gives an overview of Facebook Prophet and shows how to use the framework in Python to create a univariate time series forecast.
On-Chain Analytics: Metrics for Analyzing Blockchains in Python
This article combines blockchain data and historic crypto prices from CryptoCompare in a comprehensive on-chain analysis using Python.
Feature Engineering and Selection for Regression Models with Python and Scikit-learn
This guide provides tips on feature exploration, engineering, and selection for machine learning using Python and Scikit-Learn
Unveiling Hidden Patterns in the Cryptocurrency Market with Affinity Propagation and Python
This tutorial shows how to use affinity propagation to analyze asset clusters in the crypto market using Python.
Stock Market Forecasting Neural Networks for Multi-Output Regression in Python
This tutorial develops and evaluates a Keras multi-output regression model that forecasts ten future Apple trading sessions in one pass.
Multivariate Anomaly Detection on Time-Series Data in Python: Using Isolation Forests to Detect Credit Card Fraud
This article describes multivariate anomaly detection in the example of credit card fraud using Random Isolation Forests in Python
Requesting Crypto Price Data from the Gate.io REST API in Python
The Gate.io API provides access to market prices of a variety of cryptocurrencies. Learn to retrieve price data via the API using Python.
Stock Market Prediction using Multivariate Time Series and Recurrent Neural Networks in Python
This tutorial builds and evaluates a Keras multivariate LSTM that forecasts the next-session NASDAQ Composite return.
Rolling Time Series Forecasting: Creating a Multi-Step Prediction for a Rising Sine Curve using Neural Networks in Python
This tutorial shows how to create and evaluate a recursive multi-step forecast for a rising sine curve using Keras LSTM layers in Python.