#Julia Python

🚀 Learn Large Language Models (LLMs) the practical way — no long videos, only hands-on coding. This GitHub repository teaches LLMs from beginner to advanced level using ✅ Google Colab notebooks ✅ Ready-to-run code ✅ Step-by-step chapters What you’ll learn in this LLM roadmap: • LLM basics, tokens, and embeddings • Transformer architecture explained with code • Text classification using NLP • RAG (Retrieval-Augmented Generation) systems • Semantic search & vector databases • Multimodal LLM applications • Prompt engineering techniques • Fine-tuning and deploying production-ready LLMs 💬 Comment “LLMS” to get the GitHub repo links in DM. 📌 Save this reel if you’re learning AI. 🔥 Follow Vidyanex for daily AI, LLM, and GenAI content. #llm #explore #github #GenAI #explore

Best Youtube Videos to build LLMs from Scratch✨ These videos teach how to build custom GPT model and in general LLM models from scratch in PyTorch framework. ✅ Comment “Train” for Videos Link + Repo Link in DM! [Large language models, github, YouTube videos, free resources, LLM, ChatGPT] #llm #datascience #collegestudents

They’re comparing languages. Junie’s comparing context, MCP servers, and outcomes.

Math Equations to Latex in Python #python #codinglife💻 #trading #viralreels #instagram

#Matplotlib #PythonDeveloper #PythonTutorial #python #coding #programming

Code it..... #Katalist

#Matplotlib #PythonTutorial #Asyncio #python #coding #programming

you switched to python and now you doubt your programming skills😢 #reels #foryou #explore #trending #lifestyle

What is an LLM🤯 An LLM (Large Language Model) is an AI model trained on massive amounts of text data to understand and generate human-like language. It uses deep learning, especially transformer architectures, to predict and produce text based on context. LLMs can perform tasks like answering questions, writing content, summarizing text, translating languages, and generating code. They learn patterns, grammar, reasoning structures, and world knowledge from training data rather than explicit rules. The “large” refers to the huge number of parameters and the scale of data used during training. LLMs work by predicting the next most likely token in a sequence. They are commonly used in chatbots, search, assistants, and automation tools. Examples include GPT models, Claude, and Gemini. In system design, LLMs are often integrated via APIs and combined with tools like RAG or vector databases to improve accuracy.#computerscience

Every student rn💔 @chatgpt #fypppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp #explorepage #trendingreels #examseason #foryou

#Matplotlib #DevOps #TechTutorial #python #coding #programming

#Matplotlib #MachineLearning #OnlyPython #python #coding #programming