Written by Daniel Rosehill
GIST
Explains how large language models (LLMs) can analyze new or real-time information despite having a training data cutoff, using methods like in-context learning and retrieval-augmented generation.
Explains how large language models (LLMs) can analyze new or real-time information despite having a training data cutoff, using methods like in-context learning and retrieval-augmented generation.
Automation specialist and technical communications professional bridging AI systems, workflow orchestration, and strategic communications for enhanced business performance.
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