Tag: retrieval tasks

  • Slashdot: Alibaba’s ZeroSearch Teaches AI To Search Without Search Engines, Cuts Training Costs By 88%

    Source URL: https://slashdot.org/story/25/05/09/0113217/alibabas-zerosearch-teaches-ai-to-search-without-search-engines-cuts-training-costs-by-88?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Alibaba’s ZeroSearch Teaches AI To Search Without Search Engines, Cuts Training Costs By 88% Feedly Summary: AI Summary and Description: Yes Summary: Alibaba Group’s “ZeroSearch” technique showcases an innovative approach that enables large language models (LLMs) to develop search capabilities without relying on external search engines, demonstrating significant cost…

  • Hacker News: SOTA Code Retrieval with Efficient Code Embedding Models

    Source URL: https://www.qodo.ai/blog/qodo-embed-1-code-embedding-code-retreival/ Source: Hacker News Title: SOTA Code Retrieval with Efficient Code Embedding Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Qodo-Embed-1, a new family of code embedding models that outperforms larger models in code retrieval tasks while maintaining a smaller footprint. It emphasizes the challenges existing models face…

  • Hacker News: 3x Improvement with Infinite Retrieval: Attention Enhanced LLMs in Long-Context

    Source URL: https://arxiv.org/abs/2502.12962 Source: Hacker News Title: 3x Improvement with Infinite Retrieval: Attention Enhanced LLMs in Long-Context Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel approach called InfiniRetri, which enhances long-context processing capabilities of Large Language Models (LLMs) by utilizing their own attention mechanisms for improved retrieval accuracy. This…

  • Hacker News: voyage-code-3

    Source URL: https://blog.voyageai.com/2024/12/04/voyage-code-3/ Source: Hacker News Title: voyage-code-3 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents voyage-code-3, a new embedding model optimized for code retrieval that significantly outperforms existing models in both performance and cost-efficiency. The introduction of Matryoshka learning and advanced quantization techniques allows for reduced storage requirements without compromising…

  • Hacker News: All-in-one embedding model for interleaved text, images, and screenshots

    Source URL: https://blog.voyageai.com/2024/11/12/voyage-multimodal-3/ Source: Hacker News Title: All-in-one embedding model for interleaved text, images, and screenshots Feedly Summary: Comments AI Summary and Description: Yes Summary: The text announces the release of voyage-multimodal-3, a cutting-edge multimodal embedding model that enhances the capability of semantic search and retrieval tasks involving both text and images. Its ability to…