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Web design, web development and related services and solutions.
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[Heather J. Brunner @heatherjbrunner]

@MrAhmadAwais @wpengine @asmartbear @davidvmc @WordPress Together, all of us in the global #WordPress community can get to 50% of the web!!

[WordPress @WordPress]

The ultimate tech road trip is heading to Phoenix! 🌵 Formed around the spirit of Route 66, WCUS celebrates connection, community, and the shared journey of building WordPress together.

The road is set; now we just need the crew. How are you joining us? 👇

🎟️ Be our guest: Experience the top WordPress event of the year, soak in the insights, and connect with the global community. https://t.co/OJspCFajdh

[WordPress @WordPress]

23 looks good on WordPress. 🎂

Since May 27, 2003, WordPress has been blogging, building, publishing, shipping, translating, theming, plugin-ing, and making the web a little more wonderfully weird.

Happy birthday, WordPress. 💙

[WordPress @WordPress]

The WordCamp Europe 2026 podcast looks at WordPress Credits and Campus Connect, 2 programs that connect students with the open-source project through academic credit and campus events. Mary Hubbard joins to discuss what's working and what still needs fixing. https://t.co/fcpmLHI0Qk

[WordPress @WordPress]

WordCamp Europe 2026 includes 3 security sessions covering a DDoS risk in WordPress's search endpoint, NIS2 incident reporting obligations, and tested results from managed hosting security promises. https://t.co/mNMNvinUq5

[WordPress @WordPress]

WordPress 7.0 ships a built-in AI Client: a PHP API that routes image and text generation requests to whichever provider the site owner has configured. This tutorial walks through building a working image generation plugin on top of it. https://t.co/9yMPNyag7n

[WordPress @WordPress]

WordPress 7.0 “Armstrong” is here. 🎷

This major release introduces foundational AI tools, a refreshed admin experience, expanded design controls, new blocks, and powerful developer APIs.

Explore what’s new, update when you’re ready, and start building with WordPress 7.0 today. https://t.co/0aF3CG0WOt

[Azυℓ @turquesa_711]

🩵

[WordPress @WordPress]

The WordPress Core AI team has published a new guide for meetup and WordCamp organizers, speakers, and contributors. It includes talk ideas, project explanations, demo tips, and suggested session formats to help the community speak confidently about Core AI projects.

Read the guide: https://t.co/XEaizIJj1U

[WordPress @WordPress]

WordPress 7.0 Release Candidate 4 is ready for testing. The final release is scheduled for May 20, 2026. Try it in a test environment and report any issues you find. https://t.co/ME2NiN7l7P

[Automattic @automattic]

A very cool @WordPress plugin from @fkadev as part of Radical Speed Month.

Try /pressmind and see what happens! 🪄

[WordPress @WordPress]

The May 2026 WordPress developer roundup is out. You'll find coverage of early work on a content types system, revisions support for templates and patterns, a new @wordpress/grid package, and a range of block fixes ahead of the WordPress 7.0 release. https://t.co/yuMA957WUN

[WordPress @WordPress]

WordPress 7.0 Release Candidate 3 is available for testing. The final release is scheduled for May 20, 2026. Test it now and report any issues before launch. https://t.co/cXmvePDV17

[WordPress @WordPress]

The WordPress Developer Blog has a new guide on writing end-to-end (E2E) tests with Playwright. It covers setup with wp-env, testing block variations and patterns, and verifying front-end output using the REST API. https://t.co/Rie93MfDkv

[WordPress @WordPress]

Thinking about attending WordCamp Europe 2026 in Kraków? The latest WordCamp Europe Insights podcast features 2 local team members sharing their favorite spots, what to eat, and what to expect from the event itself, including an 8-hour after-party. WordCamp Europe runs June 4–6 at ICE Kraków. https://t.co/u7kjADqSzk

[The pets only 🐾 @Thepetsonly]

Cat Breeds Size Comparison

[Dhanian 🗯️ @e_opore]

𝐖𝐇𝐀𝐓 𝐈𝐒 𝐀𝐍 𝐋𝐋𝐌 (𝐋𝐀𝐑𝐆𝐄 𝐋𝐀𝐍𝐆𝐔𝐀𝐆𝐄 𝐌𝐎𝐃𝐄𝐋)?

DEFINITION
-> An LLM (Large Language Model) is an advanced artificial intelligence model trained to understand, process, and generate human language
-> It learns from massive amounts of text data including books, articles, websites, code, and conversations
-> LLMs are designed to predict the next word or token in a sequence with high accuracy

HOW LLMs WORK
-> Text is converted into tokens
-> Tokens are transformed into numerical representations
-> Transformer neural networks process relationships between tokens
-> The model predicts the most likely next token repeatedly to generate responses

KEY COMPONENTS OF LLMs

TOKENIZATION
-> Splits text into smaller units called tokens
-> Helps the model process language efficiently

EMBEDDINGS
-> Convert tokens into dense vector representations
-> Capture semantic meaning and relationships between words

TRANSFORMER ARCHITECTURE
-> Uses self-attention mechanisms to understand context
-> Processes entire sequences in parallel

TRAINING DATA
-> Massive datasets improve language understanding
-> Includes natural language, programming languages, and structured text

CAPABILITIES OF LLMs
-> Answer questions
-> Generate text and code
-> Summarize information
-> Translate languages
-> Assist in research and learning
-> Power AI chatbots and assistants

POPULAR USE CASES

SOFTWARE DEVELOPMENT
-> Code generation
-> Debugging assistance
-> Documentation writing

CONTENT CREATION
-> Blog writing
-> Social media content
-> Copywriting

EDUCATION
-> Personalized tutoring
-> Learning assistance
-> Concept explanations

BUSINESS AUTOMATION
-> Customer support automation
-> AI-powered workflows
-> Knowledge retrieval systems

WHY LLMs ARE IMPORTANT
-> Enable natural human-computer interaction
-> Improve productivity and automation
-> Accelerate software development and research
-> Form the foundation of modern generative AI systems

EXAMPLES OF LLM-POWERED SYSTEMS
-> ChatGPT
-> Claude
-> Gemini
-> DeepSeek
-> GitHub Copilot

SIMPLE FLOW SUMMARY
-> Input text
-> Tokenization
-> Transformer processing
-> Context understanding
-> Next token prediction
-> Generated response

Grab the MODERN LLMS ebook:
https://t.co/ljEMt0UNUI