#Julia Programming Language Tutorials

here’s how i learned how to code 👩🏻‍💻👐🏼 even though this process can really be applied to learning anything new. at the start of the semester, i told myself i wanted to at least understand basic programming. you don’t need to know coding in biotech but i thought it’d be a useful skill to have to expand with. i’m still a beginner but now i can actually read code (on a basic level), use functions, and write simple programs. with the help of ai, there’s so much potential for coding beyond that. the best day to start was yesterday so start now ✨

Hehhe hope you guys like these recs #machinelearning #coding #ai

How to start coding for beginners

how I got into programming | cómo empecé a programar i get asked this a lot. I dont recommend doing what I did. But it definitely worked out, and left me with very valuable lessons. Like, some confidence in yourself is necessary, but chill. And also, maybe open a book and read documentation from time to time. And finally, MASTER THE BASICS. Anyways. Love you and hope this isn’t too confusing to follow along with the subs/Spanish. xx . . #programming #programacion #womenintech #programacao #coder #latinasintech #swe #coding

comment “code” and i’ll send these resources!! #computerscience #csmajor #internship #claude #claudecode

Answering one of the most common questions I get on this page! 🤓 What programming language are you learning first? 💻 #learnhowtocode #programminglanguage #codingtips #computerscience #webdevelopment #mobiledevelopment #gamedevelopment #womenintech #codinglife

Chatbot for FAQs Fine-tune a pretrained LLM to answer domain-specific questions (e.g., product FAQs). Tech Stack: Python, HuggingFace Transformers, PyTorch, Datasets LegalDoc Assistant Fine-tune GPT/LLaMA on legal text to summarize contracts or answer legal queries. Tech Stack: HuggingFace, PyTorch, LangChain, PDF parsing libraries Code Completion Model Fine-tune CodeLlama or CodeT5 on a repo of code for auto-completion and suggestions. Tech Stack: HuggingFace, PyTorch, Tokenizers, GitHub API Emotion-Aware Chatbot Fine-tune an LLM to recognize emotions in messages and respond empathetically. Tech Stack: PyTorch, HuggingFace, GoEmotions Dataset, PEFT (LoRA/Adapters) Summarization Model Fine-tune BART or T5 to summarize articles, meeting notes, or emails. Tech Stack: HuggingFace, PyTorch Lightning, Datasets Customer Review Analyzer Fine-tune a small LLM on product reviews to generate insights, sentiment, or suggestions. Tech Stack: Transformers, PyTorch, Pandas, Sklearn Domain-Specific RAG Model Fine-tune an LLM to retrieve and answer questions from your company’s knowledge base. Tech Stack: LangChain, ChromaDB/FAISS, HuggingFace, PyTorch TinyGPT for Chat Fine-tune a small GPT model on your own chat logs for personal assistants. Tech Stack: PyTorch, HuggingFace, Tokenizers, WandB #datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency #ai #llm #largelanguagemodels

C language program 🌐💻⌨️ Follow : @codeandcookadventure #Coding #Programming #codenewbie #TechSkills #webdevelopment #softwareengineering #LearnToCode #CodingLife #DeveloperCommunity #CodeIsLife #CodingJourney #TechLearning #CodeChallenge #CodeForBeginners #ProgrammingTips #GeekLife #codesnippet

I create music with code! I help create Strudel in my free time. I also have an album out! Video format inspired by @charstiles #programming #creativecode #livecode #breakcore

It’s Day 14 of building a LLM from scratch ✨ Most people think LLMs are complex because of code. They’re complex because of configuration and scale. Today I broke down the GPT-2 config that defines how the model thinks, remembers, and attends. GPT-2 is just a set of numbers that define scale: vocab size, context length, embedding dimension, layers, and attention heads. Breaking down the GPT-2 (124M) configuration: 50,257-token vocabulary, 1,024-token context, 768-dimensional embeddings, 12 transformer layers with 12 attention heads, dropout 0.1, and bias-free QKV projections. Understanding these parameters is key to scaling LLMs efficiently. #deeplearning #generativeai #womenwhocode #largelanguagemodels

Beginner-friendly coding tutorial is finally here!! This one for my artist friends who’s new to coding/web dev. The final product is customizable to your art style and *hopefully* cute enough to impress your crush😳 👩🏻‍💻 Full code & instructions: github.com/nasha-wanich (clone the “Beginner Tutorial” repo!) 🎨 What you’ll need: * Image sequences, anywhere between 5 to 8 ± images* * Background image * Square close icon & shrink icon * Favicon* 🎮 Tech stack required * Any text editor (VSCode recommended) * GitHub account *- Transparent background recommended Full instructions on everything from code, artwork, to hosting are on my Github :-) I’d LOVE to see ur final work if u do get to remake this <3 Lmk if u have any qns! #coding #codingtutorial #devlog #computerscience #csmajor #softwareengineer

If I was a beginner learning to code, I would use this 90 day roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #computerscience #programming