Researchers found that LLMs' performance can be enhanced using emotional stimuli in prompts. Amazing right? Who would have thought that a machine would react differently to emotions like humans do?
Panagiotis Tzamtzis - Digital analytics consultant & Web developer
If you’re tired of grappling with Google Tag Manager (GTM) and longing for expert advice to make your work more efficient, you’re in the right place. In this article, we’re unleashing ChatGPT’s top five tips to supercharge your GTM workflow. You won’t want to miss these game-changing hacks, from automating repetitive tasks to getting insights that will make your analytics sing. Rewrite incompatible source code GTM only supports source code compatible with ES5. For instance, you cannot register variables using const or let. But if you have an ES6 source code snippet you want to use in GTM just ask...
Are you working with LLMs and struggling to keep up with everything that’s going on? Below is a list of my favorite and above all actionable tips & tricks that can help you reach faster the milestone of producing a production-ready app or chatbot powered by LLMs. Finetuning Once you have determined that fine-tuning is the right solution (i.e. you’ve optimized your prompt as far as it can take you and identified problems that the model still has), you’ll need to prepare data for training the model. You should create a diverse set of demonstration conversations that are similar to...
Buckle up, fellow tech-savvy adventurers, because the age of Artificial Intelligence is turning us all into creative wizards! Picture this: with just a few taps on your keyboard, ChatGPT whips up a shiny new website, while the Code Interpreter crunches numbers like a pro. And let’s not forget Roblox, the ultimate playground for budding game-makers! What’s the magical twist, you ask? Well, it’s all about the unique flavors of creativity bubbling within us tech-heads. The real deal isn’t just the tools we wield; it’s the enchanting experiences we choose to conjure! So, here’s the spellbinding takeaway: In this era of...
This is a collection of links, tools, and other resources that every digital analyst and digital analytics developer working with GA4 should be aware of. Make sure to bookmark them.
Benn Stancil completed an awesome and very detailed experiment with ChatGPT to find out if the responses the LLM provides vary depending on the kindness level of the requests! Spoiler alert: Nice guys finish last! I totally recommend his substack! Sign up to receive updates about new posts!
The article on this link discusses the impact of different management styles on productivity and employee retention. Then introduces nine common management styles and suggests ways to maximize their effectiveness. It is noted that a manager’s personality plays a significant role in their leadership approach, and while they can adapt their style to the company and team, some aspects remain personal. Most importantly always remember the importance of being true to oneself as a manager for the benefit of everyone involved. Sign up to receive updates about new posts!
Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring workflows. It allows you to create complex data pipelines that can be executed on a schedule, triggered by an event, or manually. When self-hosting Airflow, it is crucial to keep track of what’s happening in your workflows to ensure everything is running smoothly. Without proper monitoring and alerting, it’s easy to miss critical issues that could cause your workflows to fail or produce incorrect results. These issues could be anything from a misconfigured task to a problem with your infrastructure or dependencies. By setting up alerts, you can...
A collection of my favorite tools for working with JSON files. Use them to understand, format, validate and visualize JSON files and schemas.
In the article “Bridging the gap between Google Analytics UI and BigQuery export” Minhaz Kazi, a developer advocate for Google Analytics, provides an explanation for why the numbers in BigQuery event export data may not match the standard reporting surfaces in Google Analytics. The article clarifies that while the intended purpose of BigQuery event export data is to provide users with more customized options for data analysis, the standard reporting surfaces use pre-processed database tables, which include Google Analytics’ value additions such as modeling and traffic attribution, and thus these two data sources are not always expected to be reconcilable....
