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IndQA

Why the launch of IndQA by OpenAI matters for global AI — and why India is key

OpenAI’s IndQA benchmark shifts the conversation from translation to native, culture-aware reasoning. Here’s what it means for AI product teams, startups, and enterprises, Published by InteligenAI — 12 November 2025 In today’s age of large-language models (LLMs) and generative AI, one major gap persists: language and cultural depth. Most benchmarks, systems and deployments assume English […]

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3 Open-Source Projects Every Engineer Should Try in 2025

3 open-source projects every engineer should try in 2025

November 8, 2025 Open source projects for engineers are transforming development workflows. Discover three open-source projects (opencode, DeepCode, Llama-Factory) that bring AI into developer workflows: inside the terminal, from paper-to-code, and from model-to-deployment. Modern engineering teams want AI that fits their workflow. Whether you’re a backend engineer, a research scientist, or a DevOps lead, developer-native

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Top 5 zero-shot object detection models in 2025

Overview Zero-shot (open-vocabulary) object detection lets models find and localize objects they were not explicitly trained on — using language prompts instead of thousands of class-specific annotations. This changes how enterprises approach vision projects: faster prototyping, less labeling, and new opportunities for real-time automation. Top 5 zero-shot object detection models: 1. OWL-ViT What it is:

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The top 9 open-source AI Agent frameworks (2025 Edition)

The AI landscape has shifted dramatically in just a few years. What began with simple chatbots has now evolved into sophisticated AI agents capable of reasoning, planning, and collaborating in real-time. By 2027, 86% of organizations are expected to deploy AI agents, with many leaders projecting triple-digit ROI from these systems. But the real challenge

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Best practices for secure AI development in 2025

Artificial intelligence is changing how organizations operate and make decisions. AI systems are now used to process sensitive data, make predictions, and automate tasks across many industries. Building these systems securely is different from securing traditional software. Security and compliance in AI development have become important topics. Many people are searching for best practices that

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