A somewhat overlooked feature of ChatGPT is its ability to analyse data. ChatGPT is capable to read files, analyze them and provide visualizations, files and analysis. In this blog post, we will take a look at how to use ChatGPT for data analysis. To demonstrate the power of advanced data analysis, we will use data...
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GPT Mentions: A Comprehensive Overview
OpenAI's introduction of the GPT Mentions feature marks a significant leap in conversational AI, enabling users to integrate multiple GPT models within a single ChatGPT conversation. This groundbreaking feature not only enhances the versatility of ChatGPT but also streamlines workflows, offering a user-friendly interface and practical applications across various scenarios. What are GPT Mentions? GPT...
Every Day Prompt Engineering Part 6: Text Expansion
In this instalment of the every day prompt engineering series, we’ll cover how to expand a given piece text. Text expansion refers to the process where a brief snippet of text, such as a set of instructions or a collection of topics, is elaborated into a more detailed document, like an email or an blog...
Every Day Prompt Engineering Part 5: Text Analysis
In this instalment of our Everyday Prompt Engineering series, we're going to delve into the fascinating realm of text analysis. Text analysis is a powerful tool for understanding and extracting meaningful information from written content. This capability is particularly useful in a variety of contexts, such as analyzing customer feedback, conducting research, or even organizing...
Everyday Prompt Engineering Part Four: Document and Text Summaries
One of the most useful applications of AI is their ability to go through long text or large documents and to create summaries of all kinds. We've started already in our last instalment of our everyday prompt engineering series with some basic summarisation prompts for documents. Here, we will take a look a some additional...
Everyday Prompt Engineering Part Three: Working with PDF Documents
In our two previous instalments of our everyday prompt engineering series, we have learned how to use prompts to write emails and to write blogs. Another task, that is happening quite often, is to go through documents and extract the key information to create concise summaries. This skill is particularly useful in environments where there...
Everyday Prompt Engineering Part Two: Blogs
Writing blog posts comes almost natural for AIs. After we went through a few email scenarios in the last installation of our series, we’ll focus on how to use AIs for writing blogs. Why blogs? Blogs are an invaluable asset for businesses for several reasons. Firstly, they significantly enhance a company's online visibility. Search engines,...
Everyday Prompt Engineering Part One: Emails
After we’ve discussed the basic elements of prompts, it’s time to apply them for everyday tasks like writing emails, drafting presentations, writing blog posts or making web pages. The possibilities are more or less endless. Today, we will focus on emails. Emails Emails are the backbone of modern business communication. Despite claims of their obsolescence,...
Is GPT-4 getting lazy?
In recent weeks, users of ChatGPT-4 have reported a notable decline in the AI's performance, observing a tendency to avoid certain tasks or deliver overly simplified answers. Put differently: it appears that ChatGPT-4 became lazy. OpenAI has acknowledged the problem, though the exact cause remains uncertain. This phenomenon has led to the speculative "winter break...
Key Elements for Effective Prompt Engineering
As we delve deeper into the fascinating world of prompt engineering, you'll start to recognize certain key elements that form the backbone of an effective prompt. Think of a prompt as a conversation starter with an AI, where you guide the AI to understand not just what you want, but how you want it to...