Remove Auto-complete Remove Natural Language Processing Remove Prompt Engineer Remove Responsible AI
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Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI…

ODSC - Open Data Science

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. Auto Eval Common Metric Eval Human Eval Custom Model Eval 3.

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Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock

AWS Machine Learning Blog

Generative language models have proven remarkably skillful at solving logical and analytical natural language processing (NLP) tasks. Furthermore, the use of prompt engineering can notably enhance their performance. In particular, CoT has been shown to elicit reasoning in complex NLP tasks. split("/")[-1]}.out'

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. Is it accessible from your language/framework/infrastructure, framework, or infrastructure? Can you render audio/video?