Category: tips and tricks

If you ever need to make an input field or text area non-editable the readonly attribute comes in very handy. When the readonly attribute is present in the markup, it specifies that the user will not be able to modify the value. However the user will still be able to tab to it and copy the text. Note: The readonly … Read more

The post Text Input Non-Editable appeared first on Web Design Weekly.

Do you ever find yourself trying to remember the URL path of you images directory? Well with Sass you can quickly add the path to the desired location and just use the variable throughout your code. Sass to the rescue. All you need to do is declare the variable and then use the interpolation syntax when you reference it. More … Read more

The post URL as a Sass Variable appeared first on Web Design Weekly.

This little snippet can come in handy when you need to serve a different header on a per page basis. All you need to do is create a new header file – header-yourfilename.php and then put in some logic in your desired template file. In my case I have a header file called header-home.php and in my homepage template I … Read more

The post Load a Different Header in WordPress appeared first on Web Design Weekly.

Flexslider is one of the most used sliders, for good reason. This snippet helps lazy load your images. In order to create a perceived performance for users, we as authors shouldn’t allow the loading of every single image at once for sliders or carousels. In this snippet we only load the first and second image on init window load. This … Read more

The post Lazy Loading Images for Flexslider appeared first on Web Design Weekly.

Those with a keen eye will notice that the up and down arrows for the number input doesn’t show up in Chrome (and some other WebKit based browsers) until you hover or are focused on the input. To force the arrows to be visible we just need to change the opacity of the inner and outer spin button.

The post Force Up and Down Arrow for Number Input appeared first on Web Design Weekly.

Recently I had a great conversation with an outstanding User Experience designer about a few interactions on a project we were working on. One of the points we talked about was, what should happen when text within input fields are excessively long. The desired result we both agreed on was to change the font size of the html input field … Read more

The post How to change the Input Font Size based on Text Length appeared first on Web Design Weekly.

Learn how to apply a pixel/grid displacement to a texture in Three.js using shaders and GPGPU with a subtle RGB shift effect on cursor move.

i own a website for my business and i really like to understand and implement security practices for my website.

Many businesses finalize their business name based on the domain name that they can secure. A good domain name does so much more than just hosting a website. It’s also the front door to your business online. There are millions upon millions of active domain names out there. So it’s important to find one for […]

Organizations globally are leveraging the capabilities of Large Language Models (LLMs) to enhance their chatbot functionalities. These advanced chatbots are envisioned not just as tools for basic interaction but as sophisticated systems capable of intelligently accessing and processing a diverse array of internal organizational assets. These assets include detailed knowledge bases, frequently asked questions (FAQs), Confluence pages, and a myriad of other organizational documents and communications. 

This strategy is aimed at tapping into the rich vein of internal knowledge, ensuring more accurate, relevant, and secure interactions. However, this ambitious integration faces significant hurdles, notably in the realms of data security, privacy, and the avoidance of erroneous or "hallucinated" information, which are common challenges in AI-driven systems. Moreover, the practical difficulties of retraining expansive LLMs, considering the associated high costs and computational requirements, further complicate the situation. This article delves into a strategic solution to these challenges: the implementation of Retrieval-Augmented Generation (RAG) models in conjunction with LLMs, complemented by the innovative use of session-based context management through Redis cache.

Recommender systems have become indispensable tools for users seeking relevant and personalized content in today's information-saturated landscape. Generative AI, a rapidly advancing subfield of artificial intelligence, holds the potential to revolutionize recommender systems by overcoming their limitations and enhancing their capabilities. This article delves into the various ways generative AI can contribute to more efficient, versatile, and accurate recommender systems.

1. Background: Generative AI and Recommender Systems

Generative AI models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), excel at generating novel, high-quality data by learning from existing samples. Their ability to create new data can significantly benefit recommender systems, which rely on data to understand user preferences and make accurate suggestions. 

A CDN's mission involves virtually shortening the physical distance to improve site rendering speed and performance. 

Physical Distance?  Yes, you read it right. 

The Best Approach To Handling Poor Data

There are many ways to evaluate poor data, but the following approach has proved to be the most effective and universal in practice.

To weed out poor data, you need to:

So, you have written a new API, maybe as much as doing the CRUD endpoints, maybe even some unit tests to boot. 

Now, to gain a little more confidence, integration tests are required to test slices of the new logic. This requires the developer to create a client to access and call the endpoints, as you would in Postman, for instance, and call the new functionality with one's all-encompassing test criteria.

We all have mastered the science of maximizing outputs from the given data in the last decade. However, converting that data into meaningful insights is the real challenge and opportunity! Over the years, a swaddle of 3rd party products has claimed higher ROI, either by optimizing ad spending, improving data analysis strategies, or overhauling the backend. And yet, the website conversion rates across all sectors haven’t crossed 2.5% in 2023

If the average user appetite to purchase has increased and the internet bandwidths have improved, why have the conversion rate numbers not improved? This post discusses often-overlooked strategies to improve website conversion rates and how data professionals can help.

Working in technology for over three decades, I have found myself in a position of getting up to speed on something new at least 100 times. For about half of my career, I have worked in a consulting role, which is where I faced the challenge of understanding a new project the most.

Over time, I established a personal goal to be productive on a new project in half the time it took for the average team member. I often called this the time to first commit or TTFC. The problem with my approach to setting a TTFC record was the unexpected levels of stress that I endured in those time periods. Family members and friends always knew when I was in the early stages of a brand-new project.