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9 articles
Learn how to use Hugging Face Transformers to generate text with pre-trained language models like GPT-2. This beginner-friendly tutorial teaches you to create your own AI-generated content using simple Python code.
Learn how to build a basic pharmaceutical AI pipeline using transformer models and biological data, similar to what Helical is doing in the bio foundation models space.
Learn how to work with large language models using Python and Hugging Face Transformers, demonstrating core AI techniques similar to those used by OpenAI.
Learn how to work with the Claude AI API by building a complete client implementation that handles different model configurations, error management, and practical applications.
Learn how to process and analyze code interaction data similar to GitHub's approach for training AI models with Copilot data.
Learn how to build a basic open-source AI search agent using Python and TF-IDF vectorization, similar to OpenSeeker's approach.
Learn to build an AI-powered security triage system that automatically prioritizes vulnerability reports in open-source projects, helping developers focus on critical issues.
Learn how to use SymTorch to convert simple neural networks into human-readable mathematical equations, making deep learning models more interpretable.
Learn how to set up and use Google's Gemini 3.1 Flash-Lite AI model with a practical chat application tutorial.
