Sept. 23, 2023, 8:10 a.m. | Janhavi Lande

MarkTechPost www.marktechpost.com

Large language models (LLMs) are excelling at pretty much all NLP tasks. However, traditional fine-tuning methods are costly for LLMs, leading to the development of continuous prompt-tuning techniques that use trainable prompt embeddings without modifying LLM parameters. However, these methods still require access to LLM parameters and are not suitable for LLMs accessed via black-box […]


The post This AI Research by Microsoft and Tsinghua University Introduces EvoPrompt: A Novel AI Framework for Automatic Discrete Prompt Optimization Connecting LLMs and …

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