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humanloop.com | ||
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hamel.dev
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| | | | | How to construct domain-specific LLM evaluation systems. | |
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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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www.superannotate.com
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| | | | | Dive into LLM fine-tuning: its importance, types, methods, and best practices for optimizing language model performance. | |
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mccormickml.com
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| | | This tutorial covers the skip gram neural network architecture for Word2Vec. My intention with this tutorial was to skip over the usual introductory and abst... | ||
