The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

A recently disclosed security vulnerability in MongoDB has come under active exploitation in the wild, with over 87,000 potentially susceptible instances identified across the world. The vulnerability ...

A high-severity security flaw has been disclosed in MongoDB that could allow unauthenticated users to read uninitialized heap memory. The vulnerability, tracked as CVE-2025-14847 (CVSS score: 8.7), ...

Design and implement an end-to-end ETL (Extract, Transform, Load) pipeline using SQL for data extraction and transformation, and Python for orchestration and automation. Use any open dataset (e.g., ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

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Introduction: Large language models are capable of summarizing research, supporting clinical reasoning, and engaging in coherent conversations. However, their inputs are limited to user-generated text ...

Defining a pipeline workers The central worker in a pipeline is a python generator (a function with a yield statement inside) that takes as its first argument another python iterator. See the code ...

In this tutorial, we walk through an advanced yet practical workflow using SpeechBrain. We start by generating our own clean speech samples with gTTS, deliberately adding noise to simulate real-world ...