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Month: August 2025

August 29, 2025August 29, 2025

AI Model Limitations: Hidden Constraints Your Team Should Know (2025)

Companies face major challenges with AI model limitations even as the technology grows rapidly. A recent survey shows that 61% of companies face accuracy issues with their AI tools. Only 17% gave their in-house models an ‘excellent’ rating. Business leaders remain optimistic, with 72% seeing AI’s potential advantage. Yet many AI projects fall short because they rely…

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August 22, 2025August 22, 2025

Why Music Producers Are Wrong About AI: Real Studio Insights from 2025

AI and music are merging faster than ever, and tools like Suno have shown incredible progress in just 8 months. Many producers remain skeptical about AI’s creative role, but the numbers tell a different story. Musicians have already embraced AI technology, with 60% using it in their creative process. The data shows 20.3% specifically use AI…

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August 14, 2025August 14, 2025

Why AI in Creative Industries Is Not Replacing Artists (But Making Them Better)

The art world experienced a seismic shift when Christie’s auction house sold the AI-created portrait “Edmond de Belamy” for $432,500. Creative professionals around the globe reacted with a mix of wonder and anxiety. AI tools like OpenAI’s MuseNet now compose classical and jazz pieces, leaving many artists uncertain about their place in this new landscape. My…

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August 5, 2025August 5, 2025

The Truth About Best AI Coding Assistant Tools: Real Speed Tests

Developers need the best AI coding assistant to improve their daily productivity. AI has become an essential tool for developers to write new code, check pull requests, create test cases, and fix bugs. The growing interest in these tools has created many options, making it hard to pick the right solution for speed and efficiency. AI coding…

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August 2, 2025August 2, 2025

Small Language Models (SLM): Better Results with Less Computing Power

Small language models are changing the AI landscape by delivering great results with far fewer resources. Large language models pack hundreds of billions or even trillions of parameters, while SLMs work with just 1 million to 10 billion parameters. This huge size difference makes SLMs perfect for environments where resources are limited. Phi-3-mini stands out…

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  • The Hidden Ethical Concerns of AI That Nobody Talks About [2025 Guide]

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  1. Jacob on How to Build Production-Ready Docker AI Apps: A Developer’s Guide

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