Benchmarking AWS Nova on Log Data: How It Compares to ChatGPT-3.5
This article evaluates the performance of AWS Nova Micro in analyzing log data compared to ChatGPT-3.5. The study reproduces a benchmark originally conducted by Intel researchers, focusing on log parsing, analytics, and summarization. Results indicate that while Nova Micro performs well in certain areas, it struggles with tasks like prediction and counting.
- ▪AWS Nova Micro's cost per input token is significantly lower than GPT-3.5-turbo.
- ▪The evaluation used 19 datasets from the Loghub collection to assess performance.
- ▪Nova Micro achieved high accuracy in detecting malicious users but struggled with predicting future log events.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3933240) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Patrick Londa for Bronto Posted on May 20 • Originally published at bronto.io Benchmarking AWS Nova on Log Data: How It Compares to ChatGPT-3.5 #ai #logging #machinelearning #devops Authored by Benoit Gaudin This post explores the use of large language models (LLMs) for analyzing log data. To do so, we reproduced part of the An Assessment of ChatGPT on Log Data benchmark, originally conducted in 2023 by Intel researchers Priyanka Mudgal and Rita Wouhaybi.
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