Text Generation with GPT Understanding Temperature, Top-K, Top-P & HuggingFace Spaces Deployment скачать в хорошем качестве

Text Generation with GPT Understanding Temperature, Top-K, Top-P & HuggingFace Spaces Deployment

A complete walkthrough of text generation using GPT-2 and HuggingFace Transformers, from understanding generation parameters in a Colab notebook to deploying a live interactive application on HuggingFace Spaces with Gradio. Text generation is the core capability behind ChatGPT, Claude, Gemini, and every modern conversational AI product. The difference between useful output and incoherent nonsense comes down to how you configure a handful of generation parameters. In this video I break down exactly what each parameter does, show side-by-side comparisons, build an interactive Gradio demo, and deploy it as a public application anyone can use. What you'll learn: — How autoregressive text generation works (GPT-2 architecture) — Temperature: controlling randomness by scaling logits before softmax — Top-k sampling: hard cap on token candidates — Top-p (nucleus) sampling: adaptive probability thresholds and why production systems prefer it over top-k — Repetition penalty: preventing GPT-2's feedback loops — How temperature and top-p interact in practice — Building interactive ML demos with Gradio (sliders, examples, text I/O) — Deploying to HuggingFace Spaces: app.py, requirements.txt, and the full deployment pipeline — Trade-offs for free-tier deployment: model size, generation length, and interface design — What it takes to make a text generation app production-ready Tools and models used: Python, HuggingFace Transformers, GPT-2, Gradio, HuggingFace Spaces, Google Colab (free tier) Course: MIS 769 - Big Data Analytics for Business | Spring 2026 Instructor: Dr. Richard Young University of Nevada, Las Vegas — Lee Business School #TextGeneration #GPT2 #HuggingFace #HuggingFaceSpaces #Gradio #LLM #NLP #Temperature #TopP #NucleusSampling #MachineLearning #AI #Transformers #MLDeployment #BigData #DataAnalytics #GoogleColab #UNLV