Experimental News Clipping Site

Tag: embeddings

  • Hacker News: Zamba2-7B

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    Source URL: https://www.zyphra.com/post/zamba2-7b Source: Hacker News Title: Zamba2-7B Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the architecture and capabilities of Zamba2-7B, an advanced AI model that utilizes a hybrid SSM-attention architecture, aiming for enhanced inference efficiency and performance. Its open-source release invites collaboration within the AI community, potentially impacting research…

  • Hacker News: NanoGPT (124M) quality in 3.25B training tokens (vs. 10B)

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    Source URL: https://github.com/KellerJordan/modded-nanogpt Source: Hacker News Title: NanoGPT (124M) quality in 3.25B training tokens (vs. 10B) Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a modified PyTorch trainer for GPT-2 that achieves training efficiency improvements through architectural updates and a novel optimizer. This is relevant for professionals in AI and…

  • Cloud Blog: Accelerate AI production with data agents and BigQuery platform enhancements

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    Source URL: https://cloud.google.com/blog/products/data-analytics/connect-your-data-to-ai-with-new-innovations/ Source: Cloud Blog Title: Accelerate AI production with data agents and BigQuery platform enhancements Feedly Summary: As the fuel for AI, data’s role in driving innovation is uncontested. However, since so much data is unstructured and unmanaged today, data accessibility can stand in the way of AI adoption. Our goal is to…

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

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    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…

  • Hacker News: Alternatives to cosine similarity

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    Source URL: https://tomhazledine.com/cosine-similarity-alternatives/ Source: Hacker News Title: Alternatives to cosine similarity Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses various methods for comparing vectors, particularly in the context of LLM embeddings, emphasizing the utility of cosine similarity over alternative distance functions like Euclidean and Manhattan distances. It underscores the significance of…

  • Hacker News: I want to break some laws too

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    Source URL: https://snats.xyz/pages/articles/breaking_some_laws.html Source: Hacker News Title: I want to break some laws too Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text delves into the exploration of data pruning in AI training, specifically highlighting a project inspired by the Minipile paper that demonstrates the effectiveness of using significantly smaller datasets to achieve…

  • Simon Willison’s Weblog: Hybrid full-text search and vector search with SQLite

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    Source URL: https://simonwillison.net/2024/Oct/4/hybrid-full-text-search-and-vector-search-with-sqlite/ Source: Simon Willison’s Weblog Title: Hybrid full-text search and vector search with SQLite Feedly Summary: Hybrid full-text search and vector search with SQLite As part of Alex’s work on his sqlite-vec SQLite extension – adding fast vector lookups to SQLite – he’s been investigating hybrid search, where search results from both vector…

  • Cloud Blog: Enhancing your gen AI use case with Vertex AI embeddings and task types

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/improve-gen-ai-search-with-vertex-ai-embeddings-and-task-types/ Source: Cloud Blog Title: Enhancing your gen AI use case with Vertex AI embeddings and task types Feedly Summary: Retrieval Augmented Generation (RAG) is a powerful technique for enhancing large language models (LLMs) by grounding them in external knowledge sources. This blog post looks into a common challenge in RAG implementations: achieving…

  • Hacker News: Show HN: Open-source text classification CLI – train models with no labeled data

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    Source URL: https://github.com/taylorai/aiq Source: Hacker News Title: Show HN: Open-source text classification CLI – train models with no labeled data Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes a command-line interface (CLI) tool named “aiq,” which is designed for processing text data through embedding, labeling, training classifiers, and classifying text. With…

  • Simon Willison’s Weblog: Introducing Contextual Retrieval

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    Source URL: https://simonwillison.net/2024/Sep/20/introducing-contextual-retrieval/#atom-everything Source: Simon Willison’s Weblog Title: Introducing Contextual Retrieval Feedly Summary: Introducing Contextual Retrieval Here’s an interesting new embedding/RAG technique, described by Anthropic but it should work for any embedding model against any other LLM. One of the big challenges in implementing semantic search against vector embeddings – often used as part of…