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6 articles
Learn how to set up a Python environment and interact with OpenAI's large language models using API calls. This beginner-friendly tutorial teaches you the fundamentals of AI model interaction.
Learn how to access and use Tencent's Hy3 Mixture-of-Experts model through OpenRouter, including understanding MoE architecture, using long-context capabilities, and experimenting with reasoning tasks.
Learn how to access and use advanced AI models through OpenAI's API, similar to the cutting-edge AI systems discussed in the NATO summit article. This beginner-friendly tutorial walks you through setting up an OpenAI account, installing the Python library, and making your first AI-powered API call.
Learn to implement key Transformer architecture components including attention mechanisms and multi-head attention using PyTorch, replicating the technology behind OpenAI's successful AI systems.
Learn how to monitor and manage token usage when working with OpenAI's API to avoid wasteful 'token-maxing' practices and make cost-effective decisions about which AI models to use.
Learn how to use Unsloth Studio, a no-code interface for fine-tuning Large Language Models locally with 70% less VRAM usage.