Learn JavaScript
97.4K subscribers
957 photos
17 videos
475 files
120 links
JavaScript Training Courses

πŸ’³ Paid ads by: https://telega.io/c/JavaScript_Trainings

πŸ”° Linkedin: @Linkedin_Learning
🧿 Udemy: @Zero_To_Mastery
πŸ“¦ Python: @LearnPython3
πŸ”… Web Development: @Webdev_Trainings
Download Telegram
⭐️ TypeScript 5.9 just made generics smarter.

Use const type parameters to lock in literal values, no more accidental type drift. Perfect for building config objects or enum-like generics with zero runtime overhead.
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
❀9πŸ‘1
Type-safe API calls without runtime checks, TypeScript 5.9 lets you validate dynamic URL paths using enhanced template literal types.

Perfect for big apps with lots of API endpoints.
❀15πŸ‘2
πŸ”° 5 Useful web APIs
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
❀16πŸ‘4
πŸ”… JavaScript Practice: Scope and Closures

πŸ“ Get hands-on experience with scope and closures in JavaScript and learn to write code thats more efficient and more testable.

🌐 Author: Eve Porcello
πŸ”° Level: Advanced
⏰ Duration: 17m

πŸ“‹ Topics: JavaScript

πŸ”— Join Learn JavaScript for more courses
Please open Telegram to view this post
VIEW IN TELEGRAM
❀9πŸ‘1
JavaScript Practice: Scope and Closures.zip
33.3 MB
πŸ“±Learn JavaScript
πŸ“±JavaScript Practice: Scope and Closures
Please open Telegram to view this post
VIEW IN TELEGRAM
πŸ‘2
We recently explored JSON prompting... and the results have been remarkable! πŸš€

When interacting with LLMs, long paragraphs and free-form text are commonly used, but sometimes things don’t click: unclear instructions, missing context, or formatting issues can lead to confusion, even with the most advanced models.

JSON prompting provides a clear solution. By using structured data instead of free-form text, instructions are more precise, ensuring that the model processes them accurately. While it may sacrifice some conversational flow, the precision it offers is unbeatable.

This method is transforming the way we interact with LLMs, creating prompts that are both human-readable and machine-friendly. πŸŒπŸ’‘
πŸ‘6❀3