🚀 Daily Digest: Mastering AI: Real-World Applications of LLMs and Boosting Productivity with VS Code Extensions

Daily Issue #30

• Practical application areas for using LLM in Real-World Applications

• Supercharge Your AI Models: Prompt Engineering, Chaining, and Function Calling

• Understanding Large Language Models and Their Importance

• 50 Must-Know VS Code Extensions for Faster Development

• The AI Revolution - From Language Models to Transcription Technology

• gpt-pilot - The first real AI developer who can not just be an autocomplete or a helper for PR messages but rather a real AI developer that can write full features, debug them, talk to you about issues, ask for review, etc

• LLMs-from-scratch - Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

• openai-api-router - An AI Solution Accelerator that speeds up the deployment of intelligent AI Solutions such as Chatbots on Azure

• AutoGPT - the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters

Act as a Plagiarism Checker

Optimizing Fetch Requests with a Vanilla JavaScript Debounce Function (No Lodash Required)

Problem: I needed a way to remove all null and undefined values from an array. After some digging, I found that JavaScript provides a native method to handle this efficiently.

Solution: Use Set.prototype.compact() to clean up a set by removing null and undefined values.

const setA = new Set([1, null, 2, undefined, 3]);
const compacted = setA.compact();
console.log(compacted); // Output: Set { 1, 2, 3 }

Keywords: JavaScript array cleanup, remove null and undefined, compact method, array filtering, set operations, nullish values removal, clean array in JavaScript.

If you have built anything that you’d like to share with the community, get with me on X @dailysandbox_ 😀