Tag: small models

  • Simon Willison’s Weblog: llm-gguf 0.2, now with embeddings

    Source URL: https://simonwillison.net/2024/Nov/21/llm-gguf-embeddings/#atom-everything Source: Simon Willison’s Weblog Title: llm-gguf 0.2, now with embeddings Feedly Summary: llm-gguf 0.2, now with embeddings This new release of my llm-gguf plugin – which adds support for locally hosted GGUF LLMs – adds a new feature: it now supports embedding models distributed as GGUFs as well. This means you can…

  • Simon Willison’s Weblog: NuExtract 1.5

    Source URL: https://simonwillison.net/2024/Nov/16/nuextract-15/#atom-everything Source: Simon Willison’s Weblog Title: NuExtract 1.5 Feedly Summary: NuExtract 1.5 Structured extraction – where an LLM helps turn unstructured text (or image content) into structured data – remains one of the most directly useful applications of LLMs. NuExtract is a family of small models directly trained for this purpose, and released…

  • Cloud Blog: Real-time data for real-world AI with support for Apache Flink in BigQuery

    Source URL: https://cloud.google.com/blog/products/data-analytics/introducing-bigquery-engine-for-apache-flink/ Source: Cloud Blog Title: Real-time data for real-world AI with support for Apache Flink in BigQuery Feedly Summary: Today’s organizations aspire to become “by-the-second" businesses, capable of adapting in real time to changes in their supply chain, inventory, customer behavior, and more. They also strive to provide exceptional customer experiences, whether it’s…

  • Simon Willison’s Weblog: Quoting Jason Wei (OpenAI)

    Source URL: https://simonwillison.net/2024/Sep/12/jason-wei-openai/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Jason Wei (OpenAI) Feedly Summary: o1-mini is the most surprising research result I’ve seen in the past year Obviously I cannot spill the secret, but a small model getting >60% on AIME math competition is so good that it’s hard to believe— Jason Wei (OpenAI) Tags:…