klotz: relevance*

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  1. This article explores NDCG — Normalized Discounted Cumulative Gain, a rank-aware metric for evaluating recommendation system models.
  2. This pull request adds initial support for reranking to libllama, llama-embeddings, and llama-server using two models: BAAI/bge-reranker-v2-m3 and jinaai/jina-reranker-v1-tiny-en. The reranking is implemented as a classification head added to the model graph. Testing and benchmarking were performed with server integration.
    2024-09-28 Tags: , , , , by klotz
  3. This page provides documentation for the rerank API, including endpoints, request parameters, and response formats.
    2024-09-28 Tags: , , , , , , , , by klotz
  4. Maximize search relevancy and RAG accuracy with Jina Reranker. Features include multilingual retrieval, code search, and a 6x speedup over the previous version.
    2024-09-28 Tags: , , , , , by klotz
  5. This blog post demonstrates how to create a reusable retrieval evaluation dataset using an LLM to judge query-document pairs. It discusses the process, including building a small labeled dataset, aligning LLM judgments with human preferences, and using the LLM to judge a large set of queries and documents.
    2024-07-05 Tags: , , , by klotz
  6. "On May 5th, I received an email from an anonymous source claiming to have access to a massive leak of API documentation from inside Google’s Search division. The documents were confirmed as authentic by ex-Google employees and contained extraordinary claims about Google’s search operations."
  7. 2020-08-31 Tags: , , , , by klotz
  8. 2019-10-26 Tags: , , , , by klotz
  9. 2024-09-28 Tags: , , by klotz

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