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91 articles
Learn to build a simple AI chatbot using Python and Hugging Face Transformers, understanding the foundational technology behind virtual assistants like Siri and ChatGPT.
Learn to create a basic conversational AI assistant using Python and Hugging Face Transformers, emphasizing responsible AI development practices.
Learn how to set up and use Mistral AI's open-source language models with Python. This tutorial teaches you to load models, prepare prompts, and generate text responses using the Hugging Face Transformers library.
Learn how to build an AI-powered menu generator that avoids the 'sameness problem' by creating unique, appealing food descriptions using Python and Hugging Face Transformers.
Learn how to access and use Hugging Face's open-source AI models and datasets for natural language processing tasks like sentiment analysis and translation.
Learn to build a basic AI text generator using Python and Hugging Face Transformers, demonstrating the technology behind OpenAI's systems and understanding copyright implications.
Learn how to set up and experiment with legal AI models like Harvey Tenet, understanding post-training concepts and creating a basic legal query processor using Python and transformers.
This explainer explores Netflix's GenRec, a language model-based recommendation system that transforms user viewing behavior into text for more accurate personalization, marking a shift from traditional feature-engineered approaches.
Learn to build a simple AI chatbot using Python and Hugging Face Transformers, understanding both the technical implementation and consumer concerns around AI adoption.
Learn how to download and use Alibaba's Qwen 3.8 open-source language model for text generation and coding tasks in a beginner-friendly tutorial.
Learn how to work with vision-language models using Python and Hugging Face Transformers, simulating core capabilities like screen reading, object grounding, and function calling.
Learn how to work with open-source AI models using Python and Hugging Face's Transformers library. This beginner-friendly tutorial teaches you to download, load, and run inference on pre-trained models.