Text-to-SQL with LLMs – Embracing the Future of Data Interaction

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In an age where data is the cornerstone of decision-making, the ability to interact seamlessly with databases is invaluable. This is where Text-to-SQL, powered by Large Language Models (LLMs), is revolutionizing the way we handle data. But what exactly is Text-to-SQL, and how are LLMs like GPT-3 and Google’s PaLM making a difference? Text-to-SQL technology … Read more

Building a Virtual AI Assistant (aka Copilot) for Your Software Application: Harnessing the Power of LLMs like ChatGPT

Welcome to the dawn of a new era in digital interaction! With the advent of Generative AI, we’re witnessing a remarkable revolution that’s changing the very nature of how we interact with software and digital services. This change is monumental. Leading the charge are the latest generation of AI-powered virtual assistants, aka “AI copilots”. Unlike … Read more

How Far are Swiss Enterprises in Adopting OpenAI’s GPT Models?

OpenAI’s large language models, such as GPT-4 and ChatGPT, have the potential to revolutionize customer experience and boost economic productivity to a new level. With its ability to automate processes, provide predictive insights, and enhance decision-making capabilities, OpenAI will also impact companies in Switzerland. The question remains: how far along is Switzerland in adopting OpenAI? … Read more

ChatGPT Prompt Engineering Guide: Practical Advice for Business Use Cases

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As businesses continue to embrace the power of conversational AI, the ability to craft effective prompts for ChatGPT has become increasingly important. However, this task can be intimidating, particularly when dealing with diverse customer bases and complex industries. But fear not, because this guide is here to help. In this prompt engineering guide, we’ll provide … Read more

Using LLMs (OpenAI’s ChatGPT) to Streamline Digital Experiences

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In the age of information overload, finding what you need quickly and efficiently is more important than ever. OpenAI’s GPT technology has the potential to reduce friction between products and services, making it easier for individuals and businesses to find what they need. In this article, we’ll explore some specific examples of how OpenAI is … Read more

What is the Business Value of ChatGPT and other Large Generative Language Models?

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OpenAI’s GPT models, such as Davinci and ChatGPT, have gained recognition for their impressive language generation abilities. However, many of the tasks that GPT models can perform are not entirely new and could have been accomplished by traditional neural network models for some time. In specific tasks such as sentiment analysis, more specialized models could … Read more

9 Business Use Cases of OpenAI’s ChatGPT

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You haven’t had enough of the recent hype about OpenAI? Fantastic! Let’s explore the business use cases for ChatGPT and other Large Language Models (LLMs). ChatGPT is often considered the beginning of a new era of AI adoption. A growing number of ChatGPT users are now using AI in their personal workflows. However, adoption in … Read more

How to Use Hierarchical Clustering For Customer Segmentation in Python

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Have you ever found yourself wondering how you can better understand your customer base and target your marketing efforts more effectively? One solution is to use hierarchical clustering, a method of grouping customers into clusters based on their characteristics and behaviors. By dividing your customers into distinct groups, you can tailor your marketing campaigns and … Read more

Univariate Stock Market Forecasting using Facebook Prophet in Python

Have you ever wondered how Facebook predicts the future? Meet Facebook Prophet, the open-source time series forecasting tool developed by Facebook’s Core Data Science team. Built on top of the PyStan library, Facebook Prophet offers a simple and intuitive interface for creating forecasts using historical data. What sets Facebook Prophet apart is its highly modular … Read more

On-Chain Analytics: Metrics for Analyzing Blockchains in Python

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Cryptocurrencies like Bitcoin or Ethereum are built on public blockchains, meaning anyone can see the transactions and trades happening on these networks. This transparency makes on-chain data an excellent resource for data science and machine learning. By examining transaction activity and the holdings of Bitcoin addresses, analysts can better understand a cryptocurrency network’s health and … Read more

Feature Engineering and Selection for Regression Models with Python and Scikit-learn

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Training a machine learning model is like baking a cake: the quality of the end result depends on the ingredients you put in. If your input data is poor, your predictions will be too. But with the right ingredients – in this case, carefully selected input features – you can create a model that’s both … Read more