klotz: json*

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  1. A comprehensive guide testing structured output capabilities of Google Gemini, Anthropic Claude, and OpenAI GPT, with OpenAI GPT-4o offering the most consistent structured outputs right out of the box.
    2024-08-29 Tags: , by klotz
  2. Weaviate introduces StructuredRAG, a benchmark to evaluate LLMs' ability to generate reliable JSON outputs. The study finds that while LLMs perform well on simpler tasks, they struggle with more complex outputs.
    2024-08-27 Tags: , , , by klotz
  3. We introduce NuExtract, a lightweight text-to-JSON LLM. NuExtract allows to extract arbitrarily complex information from text and turns it into structured data.
    2024-08-22 Tags: , , , by klotz
  4. This article explores NuExtract, a family of Small Language Models (SLMs) for extracting structured data from text. The author, Fabio Matricardi, discusses using NuExtract to process candidate CVs for a database and highlights its benefits for privacy protection and running on less powerful computers.
  5. NuExtract is a fine-tuned version of phi-3-mini for information extraction. It requires a JSON template describing the information to extract and an input text. Provides tiny (0.5B) and large (7B) versions.
  6. NuExtract is a 3.8B parameter information extraction model fine-tuned from phi-3, designed to extract structured data from text using a JSON template.
  7. Tutorial on enforcing JSON output with Llama.cpp or the Gemini’s API for structured data generation from LLMs.
    2024-08-25 Tags: , , , , , by klotz
  8. A study investigating whether format restrictions like JSON or XML impact the performance of large language models (LLMs) in tasks like reasoning and domain knowledge comprehension.

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