Extract structured data from local or remote LLM models
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Updated
Jun 21, 2024 - Python
Extract structured data from local or remote LLM models
Automated research paper analysis: PDF → JSON with evidence extraction using LLMs (DeepSeek, Gemma). Extracts methods, results, datasets, and claims with precise evidence grounding.
news-summizr extracts structured summaries from headlines, labeling key points like announcement, products, region for quick insight.
A new package is designed to facilitate structured, reliable extraction of key insights from user-provided texts about cultural topics. It accepts a text input, such as an article or discussion prompt
Source content for Vstorm blog posts—carefully crafted to provide both depth and clarity, with practical insights readers can apply immediately.
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