ChatGPT or Microsoft Copilot – which is right for you?
Here is my take on the differences between Microsoft’s Copilot and OpenAI’s ChatGPT and some thoughts on which is best for you.
Here is my take on the differences between Microsoft’s Copilot and OpenAI’s ChatGPT and some thoughts on which is best for you.
In this note I set out what I believe to be Synthetic Data, why we need to define synthetics data, and some guidelines that I think vendors and buyers should adopt. I have been involved in a wide range of discussion with a wide range of organisations, but these views are my views, they do not represent the views of anybody else.
Last week saw over 1000 insight and market researchers from 78 countries gather in Athens for ESOMAR’s Annual Congress. With three stages and a host of side events, the range of topics discussed was immense, but one theme stood out above all the rest and that was AI. One aspect of AI in particular was widely discussed, reviewed and commented on – namely Synthetic Data.
One of the things that has caught my eye about the recent discussion about synthetic data have been the different reactions to the word synthetic. Whilst most of the debate has focused on the underlying methods, there have been numerous sideswipes at the word “synthetic”. At first this struck me as odd, so I did some introspection and reading to find out why my reaction differed from that of others. I quickly realised that, in many cases, it reflected people’s arts/science background along with various life experiences, cultural phenomena, and interests.
One key reason ChatGPT is good at handling mathematical tasks and data analysis is its integration with Python, especially in its premium versions. Python not only powers the solutions provided but also allows users to see how those solutions are generated. In this post I show how you can take advantage of this.
One excellent use of a Word Cloud, in my opinion, is to get the gist of a speech, especially one by a politician. Yesterday, Tim Walz gave his VP nomination acceptance speech at the Democratic Convention in Chicago. Here is a word cloud below represents the text of Tim Walz’s speech.
The web interface for ChatGPT is great, but it does not always deliver what we want. In this post I want to describe how creating a simple call to the ChatGPT API can give a range of benefits. The example I am going to share in this post comes from a course I am running on how to the ChatGPT API.
In this post, I will illustrate how to use ChatGPT to review a brief to probe for insights into the client’s research and business questions and provide clues as to what the client is likely looking for.
Meta, the company that owns Facebook, has announced that it will not release its advanced AI model (an update to Llama) in the EU. They say this is because they fear European regulations. This news comes hard on the heels of Apple’s announcement that its generative AI tools may not be available in the EU. Here are some thoughts on the why?
In a paper published in April this year, researchers showed how speaking more collaboratively to LLMs seems to generate better responses. The paper describes how Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, and Xinyun Chen conducted a series of experiments to explore how different strategies for prompts delivered different answers.
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