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humanloop.com | ||
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blog.context.ai
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| | | | | Large Language Models are incredibly impressive, and the number of products with LLM-based features is growing exponentially But the excitement of launching an LLM product is often followed by important questions: how well is it working? Are my changes improving it? What follows are usually rudimentary, home-grown evaluations (or evals) | |
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amatria.in
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| | | | | 2024 has been an intense year for AI. While some argue that we haven't made much progress, I beg to differ. It is true that many of the research advances from 2023 have still not made it to mainstream applications. But, that doesn't mean that research is not making progress all around! | |
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hamel.dev
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| | | | | How to construct domain-specific LLM evaluation systems. | |
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www.intuit.com
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| | | Learn more about the different types of AI, machine learning, and data science jobs. | ||
