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Monday, September 11, 2023
Show HN: A surprisingly effective way to predict token importance in LLM prompts https://ift.tt/FgmVR9e
Show HN: A surprisingly effective way to predict token importance in LLM prompts We explored a novel method to gauge the significance of tokens in prompts given to large language models, without needing direct model access. Essentially, we just did an ablation study on the prompt using cosine similarity of the embeddings as the measure. We got surprisingly promising results when comparing this really simple approach to integrated gradients. Curious to hear thoughts from the community! https://ift.tt/DhXszIm September 11, 2023 at 10:59PM
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Show HN: Fast Elevation API with memory mapped tiles https://ift.tt/suKxOBC
Show HN: Fast Elevation API with memory mapped tiles I recently wrote and launched a high-performance Elevation API, built from the ground u...
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Show HN: Locksmith – detect locks taken by Postgres migrations https://ift.tt/0cBueJt February 10, 2025 at 02:26AM
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Show HN: I built a FOSS tool to run your Steam games in the Cloud I wanted to play my Steam games but my aging PC couldn’t keep up, so I bui...
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Show HN: A directory of 800 free APIs, no auth required Explore reliable free APIs for developers — ideal for web and software development, ...
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