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Dynamic metadata filtering for Amazon Bedrock Knowledge Bases with LangChain

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Amazon Bedrock Knowledge Bases has a metadata filtering capability that allows you to refine search results based on specific attributes of the documents, improving retrieval accuracy and the relevance of responses. These metadata filters can be used in combination with the typical semantic (or hybrid) similarity search.

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Yariv Fishman, Chief Product Officer at Deep Instinct – Interview Series

Unite.AI

Deep Instinct is a cybersecurity company that applies deep learning to cybersecurity. As I learned about the possibilities of predictive prevention technology, I quickly realized that Deep Instinct was the real deal and doing something unique. He holds a B.Sc Not all AI is equal.

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GNNBench: A Plug-and-Play Deep Learning Benchmarking Platform Focused on System Innovation

Marktechpost

Existing benchmarks like Graph500 and LDBC need to be revised for GNNs due to differences in computations, storage, and reliance on deep learning frameworks. PyTorch and TensorFlow plugins present limitations in accepting custom graph objects, while GNN operations require additional metadata in system APIs, leading to inconsistencies.

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Stanford Researchers Introduce BIOMEDICA: A Scalable AI Framework for Advancing Biomedical Vision-Language Models with Large-Scale Multimodal Datasets

Marktechpost

This archive includes over 24 million image-text pairs from 6 million articles enriched with metadata and expert annotations. Articles and media files are downloaded from the NCBI server, extracting metadata, captions, and figure references from nXML files and the Entrez API.

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AI and Blockchain Integration for Preserving Privacy

Unite.AI

Artificial Intelligence is a very vast branch in itself with numerous subfields including deep learning, computer vision , natural language processing , and more. Another subfield that is quite popular amongst AI developers is deep learning, an AI technique that works by imitating the structure of neurons.

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Allen Institute for AI Released olmOCR: A High-Performance Open Source Toolkit Designed to Convert PDFs and Document Images into Clean and Structured Plain Text

Marktechpost

attempt to convert entire PDF pages into readable text using deep learning. Image Source The core innovation behind olmOCR is document anchoring, a technique that combines textual metadata with image-based analysis. These include tools like Grobid and VILA, which are designed for scientific papers.

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Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API

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Model Manifests: Metadata files describing the models architecture, hyperparameters, and version details, helping with integration and version tracking. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? ollama/models directory. Thats not the case.

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