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Optimizing the Performance of LLMs Using a Continuous Evaluation Solution

In General
March 14, 2024

Large language models (LLMs) are positively changing how we build applications because of their ability to process natural languages efficiently as both text and media data. The capabilities of LLMs include text generation, media generation, complex text summary, data processing and code generation, etc. Applications today are integrating LLMs for increased efficiency and productivity. For example, some applications use LLMs to automate repetitive tasks like content creation. Apps that rely heavily on LLMs are called LLM-based applications. While the benefits of LLMs are enormous, it is important to understand the potential risks and drawbacks associated with their use to continuously monitor, safeguard, and optimize their performance.

Because LLMs are constantly evolving, LLM-based apps must continuously validate their models to prevent deviation and anomalies. Large language models may sometimes deviate significantly from prompt instructions and generate factually…

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