AI

7 newer data science tools you should be using with Python

Cleanlab is data-model and data-framework agnostic, a powerful aspect of its design. It doesn’t matter if you’re running PyTorch, OpenAI, scikit-learn, or Tensorflow; Cleanlab...

The best Java microframeworks to learn now

import io.javalin.Javalin; public class App { public static void main(String args) { var app =...

Selective retraining helps AI learn new skills without forgetting, study finds

To test whether this problem holds for today’s large multimodal models, the team conducted a controlled evaluation. They trained the selected models on five...

Oracle debuts Iceberg-compatible Autonomous AI Lakehouse to boost enterprise analytics

Focus on flexibility and interoperability The support for Iceberg, as well as a database catalog that unifies data discovery and simplifies metadata management across clouds,...

Oracle targets agentic use cases with AI Database 26ai

“It’s about making AI Agents first-class citizens inside the database,” said Tony Baer, chief analyst at dbInsight. Baer was specifically hinting at the Select AI...

Know your ops: Why all ops lead back to devops

AIops uses AI to detect anomalies and automate IT operations. MLopsmanages the full lifecycle of machine learning models. Finops governs cloud costs and financial accountability. Dataopsapplies devops-style...

OpenAI Codex rivals Claude Code

Codex CLI supports both sandbox levels and approval modes. These tend to overlap; I’ve only tested approval modes. In general, the recommendation is to...

How to run RAG projects for better data analytics results

A vector database, which stores document embeddings, scales quickly and supports distributed storage for advanced indexing and vector querying. A vector library, which is a...

How to write nonfunctional requirements for AI agents

Functional requirements that focus on what the agent will do and where humans-in-the-middle will provide oversight. A set of nonfunctional requirements focusing on areas of...
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