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Google Unveils Batch Calibration to Enhance LLM Performance
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Google Unveils Batch Calibration to Enhance LLM Performance

Google Research introduces Batch Calibration (BC), a method designed to enhance Large Language Models (LLMs) performance by reducing design decision sensitivities. Unveiled on October 13, 2023, BC significantly improves performance across various tasks, showing promise for more robust LLM applications. It stands out for its zero-shot, self-adaptive nature, and negligible additional computational costs, presenting a notable advancement in the field of machine learning.

Web3.0 Wallet Tracking App Context Raises $19.5m in Seed Funding
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Web3.0 Wallet Tracking App Context Raises $19.5m in Seed Funding

Web 3.0 application Context has secured a $19.5 million seed round led by Variant Fund and OpenAI CEO Sam Altman.

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