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We publish letscodeit.dev blog posts from a separate GitHub repository. The Next.js app fetches markdown at runtime with a one-hour cache,…
GEO (generative engine optimization) is how you structure and publish content so AI chatbots and answer engines quote your pages when…
When you send a message to an LLM, you are not paying for characters or words. You pay for tokens . A token is the unit the model splits…
The scorecard evaluates four key areas: useful work, cost per successful task, dependability, and return on compute. This framework provides a structured way to assess the effectiveness and efficiency of AI implementations. By focusing on these metrics, organizations can better understand the value and performance of their AI investments.
Source: openai.com
The practical AI scorecard could be a game-changer for companies struggling to quantify AI ROI.
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