Fine-Tuning GPT Like a Pro 🚀 | Train DialoGPT to Follow Instructions (Full Step-by-Step Guide) скачать в хорошем качестве

Fine-Tuning GPT Like a Pro 🚀 | Train DialoGPT to Follow Instructions (Full Step-by-Step Guide)

🚀 Ever wanted to build your own custom AI assistant? In this video, we go from "Raw Model" to "Instruction-Follower" in under 10 minutes! Generic AI is cool, but Fine-Tuning is where the real magic happens. We’re taking Microsoft’s DialoGPT and training it on the open-instruct-v1 dataset to transform it from a simple chatbot into a task-oriented powerhouse. Whether you're a student, a data scientist, or just an AI enthusiast, this step-by-step breakdown of the Hugging Face Trainer API will show you exactly how the pros customize Large Language Models (LLMs). What You’ll Learn: 🧠 Data Preprocessing: How to format instructions so an AI actually understands them. 🔢 Tokenization: Converting human language into machine-readable tensors. ⚙️ Training Arguments: Optimizing batch sizes and epochs for your hardware. ⚡ Inference: Testing your newly trained model with real-world prompts (Cooking tips, travel advice, and more!). 📌 Resources & Links Colab Notebook: [Insert Your Google Colab Link Here] Dataset Used: hakurei/open-instruct-v1 Base Model: microsoft/DialoGPT-medium Hugging Face Documentation: https://huggingface.co/docs source code : https://github.com/milindparitshinde/... 💻 Tech Stack Language: Python 3.x Libraries: Transformers, Datasets, PyTorch Hardware: NVIDIA T4 GPU (via Google Colab) If you found this tutorial helpful, hit that LIKE button and SUBSCRIBE for more deep dives into the world of Generative AI! 🤖✨ #AI #MachineLearning #Python #GPT #HuggingFace #FineTuning #NLP #DataScience #ArtificialIntelligence