amr mahdy

software Engineer @ Walmart

[Andrej Karpathy @karpathy]

We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:

Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:

Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:

Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:

Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!

In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.

[Kacper Kapuściak @kacperkapusciak]

e2e by @TesterArmy explained in 100 seconds

[Hades @0xHvdes]

https://t.co/yaevaqn3So

[Chrome for Developers @ChromiumDev]

WebMCP is available for early preview → https://t.co/bZMcANfg37

WebMCP aims to provide a standard way for exposing structured tools, ensuring AI agents can perform actions on your side with increased speed, reliability, and precision.

[OpenAI @OpenAI]

Our open models are here.
Both of them.

https://t.co/9tFxefOXcg

[Dr Milan Milanović @milan_milanovic]

𝗠𝗶𝗻𝗱 𝗺𝗮𝗽 𝗼𝗳 𝗔𝗪𝗦 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀!

If you are starting to learn AWS or preparing for the AWS Cloud Practitioner certification, save it for a visual aid! This visual diagram groups various services and terminologies into categories and makes it easy to remember.

I love visual content for learning!

Share with fellow cloud enthusiasts! 🧡 

Credit: Shane Bartholomeusz.

#cloudcomputing

[Daniel Berezhnyi @danberzh]

Which Way iOS Developer?

[amr mahdy @amrmahdyy]

@mitch_tabian PHP

[Swift Language @SwiftLang]

Foundation is being rewritten with Swift and will be developed as an open source community effort. @illian explains: https://t.co/jmPjnQVrJ4

[Dr. Tech @doctechmd]

Looking for a quick way to edit multiple lines of code in Xcode? 🤔

Hold down the Option button, mark the lines and make the necessary changes.

[Sarun W. @sarunw]

Swift key path expression \Root.value can use wherever functions of (Root) -> Value are allowed.

https://t.co/ozjkuDSa1p

[amr mahdy @amrmahdyy]

@egymeme11 @MuhammedElsera1

[ترنيمة @tarnima99]

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[amr mahdy @amrmahdyy]

@mazen_essam99 Hwa discord 2asar m3ak ya zouna😂