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Trying to reliably and accurately evaluate your LLM? At Contextual AI, evaluation is at the heart of what we do. Today, we're introducing natural language unit testing via LMUnit that brings the rigor and accessibility of software engineering unit tests to LLM evaluation.👇 https://t.co/a3w7XrWsKh
Microsoft AI Introduces SCBench: A Comprehensive Benchmark for Evaluating Long-Context Methods in Large Language Models https://t.co/HeiDng1zfo #LongContextLLMs #MicrosoftAI #SCBench #AIResearch #MachineLearning #ai #news #llm #ml #research #ainews #innovation #artificialinte… https://t.co/31TD0cxuzx
Unit testing LLMs is the way forward. Check out this cool new research: https://t.co/NnO6TA3XXO
Contextual AI has introduced LMUnit, a new framework designed for natural language unit testing aimed at evaluating large language models (LLMs). This initiative addresses the current challenges in LLM evaluation, which many experts describe as inadequate for high-value enterprise applications. The framework promises to enhance the reliability and accessibility of evaluation methods, drawing parallels to traditional software engineering unit tests. Additionally, Microsoft AI has launched SCBench, a comprehensive benchmark for assessing long-context methods in LLMs, further contributing to the ongoing improvements in AI evaluation methodologies.
