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Posted on August 4, 2015 at 11:15am 0 Comments 1 Like
This post discusses building a recommendation model from movie ratings using an iterative algorithm and parallel processing with Apache Spark MLlib.
https://dzone.com/links/parallel-and-iterative-processing-for-machine-lear.html
Posted on April 13, 2015 at 9:14am 1 Comment 0 Likes
Recommendation engines help narrow your choices to those that best meet your particular needs. In this post, we’re going to take a closer look at how all the different components of a recommendation engine work together. We’re going to use collaborative filtering on movie ratings data to recommend movies. The key components are a collaborative filtering algorithm in Apache Mahout to build and train a machine learning model,…
ContinuePosted on March 30, 2009 at 10:30am 0 Comments 0 Likes
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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At its Build 2025 conference, Microsoft announced plans to open source over the next few months the code behind the GitHub Copilot Chat extension under the MIT license and refactor core AI capabilities directly into the main VS Code codebase. The move, if completed, may affect the ability of current for-pay AI code editors to compete purely on features.
By Bruno CouriolLMEval aims to help AI researchers and developers compare the performance of different large language models. Designed to be accurate, multimodal, and easy to use, LMEval has already been used to evaluate major models in terms of safety and security.
By Sergio De SimoneMicrosoft’s Azure AI Search unveils agentic retrieval, a cutting-edge query engine that enhances conversational AI answer relevance by up to 40%. This dynamic system leverages conversation history and parallel subquery execution, paving the way for sophisticated knowledge retrieval. Currently in public preview, it offers adaptive search strategies tailored for evolving enterprise needs.
By Steef-Jan WiggersThe OpenSearch Software Foundation has announced the general availability of OpenSearch 3.0, the first major release in three years and the first since the project joined the Linux Foundation. This version introduces native support for the Model Context Protocol (MCP), along with pull-based data ingestion and gRPC support, aimed at improving scalability and integration.
By Renato LosioGoogle has released MedGemma, a pair of open-source generative AI models designed to support medical text and image understanding in healthcare applications. Based on the Gemma 3 architecture, the models are available in two configurations: MedGemma 4B, a multimodal model capable of processing both images and text, and MedGemma 27B, a larger model focused solely on medical text.
By Robert Krzaczyński
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