• Posts
Finance
• Monte Carlo
  • Option Pricing
• Stock Prediction
  • GRU
  • ARIMA
  • SARIMA
  • SARIMAX
Machine Learning
• Deep Learning
  • Computer Vision
    • Florence-2 LVM
  • NLP
    • GPT-OSS
    • Gemma-2 + RAG
Physics
• Percolation
• Quantum Computing
  • Introduction
  • Teleportation

Tutorial: GPT-OSS 20B

Open in: GPT-OSS 20B - Tutorial 1. Install Dependencies and Imports import subprocess import sys import os import time import json from datetime import datetime from IPython.display import display, HTML, clear_output, Markdown # Install required packages print("📦 Installing required packages...") subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "openai"]) print("✅ Packages installed successfully!") from openai import OpenAI 📦 Installing required packages… ✅ Packages installed successfully! 2. Setup Display Functions def display_status(message, status="info"): """Display colored status messages""" colors = { "info": "#3498db", "success": "#2ecc71", "warning": "#f39c12", "error": "#e74c3c", "processing": "#9b59b6" } html = f""" <div style="padding: 10px; margin: 10px 0; border-left: 4px solid {colors.

• Deep Learning
• NLP
• Machine Learning

Thursday, August 14, 2025 | 22 minutes Read

Gemma-2 + RAG + LlamaIndex + VectorDB

Open in: 1. Introduction Retrieval-Augmented Generation (RAG) is an advanced AI technique that enhances large language models (LLMs) with the ability to access and utilize external knowledge. This guide will walk you through a practical implementation of RAG using Python and various libraries, explaining each component in detail. 2. Setup and Import %pip install transformers accelerate bitsandbytes flash-attn faiss-cpu llama-index -Uq %pip install llama-index-embeddings-huggingface -q %pip install llama-index-llms-huggingface -q %pip install llama-index-embeddings-instructor llama-index-vector-stores-faiss -q import contextlib import os import torch device = torch.

• Deep Learning
• NLP
• Machine Learning

Sunday, July 14, 2024 | 14 minutes Read