Experimental News Clipping Site

Tag: structured output

  • Hacker News: Show HN: Benchmarking VLMs vs. Traditional OCR

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    Kurt Seifried
    in

    Source URL: https://getomni.ai/ocr-benchmark Source: Hacker News Title: Show HN: Benchmarking VLMs vs. Traditional OCR Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the evaluation of Optical Character Recognition (OCR) accuracy between traditional OCR models and Vision Language Models (VLMs). It emphasizes the potential of VLMs, such as GPT-4o and Gemini 2.0,…

  • Hacker News: Run structured extraction on documents/images locally with Ollama and Pydantic

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    Kurt Seifried
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    Source URL: https://github.com/vlm-run/vlmrun-hub Source: Hacker News Title: Run structured extraction on documents/images locally with Ollama and Pydantic Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes the VLM Run Hub, which offers pre-defined Pydantic schemas aimed at facilitating data extraction from unstructured visual domains like images and videos, particularly for Vision Language…

  • Cloud Blog: How to use gen AI for better data schema handling, data quality, and data generation

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/how-gemini-in-bigquery-helps-with-data-engineering-tasks/ Source: Cloud Blog Title: How to use gen AI for better data schema handling, data quality, and data generation Feedly Summary: In the realm of data engineering, generative AI models are quietly revolutionizing how we handle, process, and ultimately utilize data. For example, large language models (LLMs) can help with data schema…

  • Hacker News: Show HN: Klarity – Open-source tool to analyze uncertainty/entropy in LLM output

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    Kurt Seifried
    in

    Source URL: https://github.com/klara-research/klarity Source: Hacker News Title: Show HN: Klarity – Open-source tool to analyze uncertainty/entropy in LLM output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Klarity is a robust tool designed for analyzing uncertainty in generative model predictions. By leveraging both raw probability and semantic comprehension, it provides unique insights into model…

  • Hacker News: Show HN: I built a full mulimodal LLM by merging multiple models into one

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    Kurt Seifried
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    Source URL: https://github.com/JigsawStack/omiai Source: Hacker News Title: Show HN: I built a full mulimodal LLM by merging multiple models into one Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text presents OmiAI, a highly versatile AI SDK designed specifically for Typescript that streamlines the use of large language models (LLMs).…

  • Hacker News: Show HN: Value likelihoods for OpenAI structured output

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    Kurt Seifried
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    Source URL: https://arena-ai.github.io/structured-logprobs/ Source: Hacker News Title: Show HN: Value likelihoods for OpenAI structured output Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the open-source Python library “structured-logprobs,” which enhances the understanding and reliability of outputs from OpenAI’s Language Learning Models (LLM) by providing detailed log probability information. This offers valuable…

  • Simon Willison’s Weblog: Quoting Ben Hylak

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/12/ben-hylak/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ben Hylak Feedly Summary: I was using o1 like a chat model — but o1 is not a chat model. If o1 is not a chat model — what is it? I think of it like a “report generator.” If you give it enough context, and…

  • Cloud Blog: Supervised Fine Tuning for Gemini: A best practices guide

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/master-gemini-sft/ Source: Cloud Blog Title: Supervised Fine Tuning for Gemini: A best practices guide Feedly Summary: Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning…

  • Hacker News: Structured Outputs with Ollama

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    system automation
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    Source URL: https://ollama.com/blog/structured-outputs Source: Hacker News Title: Structured Outputs with Ollama Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text elaborates on enhancements to the Ollama libraries that support structured outputs, allowing users to constrain model responses to predefined JSON formats. This innovation can improve the reliability and consistency of data extraction in…

  • Cloud Blog: Build agentic RAG on Google Cloud databases with LlamaIndex

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    system automation
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    Source URL: https://cloud.google.com/blog/products/databases/llamaindex-integrates-with-alloydb-and-cloud-sql-for-postgresql/ Source: Cloud Blog Title: Build agentic RAG on Google Cloud databases with LlamaIndex Feedly Summary: AI agents are revolutionizing the landscape of gen AI application development. Retrieval augmented generation (RAG) has significantly enhanced the capabilities of large language models (LLMs), enabling them to access and leverage external data sources such as databases.…