Al, Analytics and Automation
Google DeepMind Proposes New Framework for Intelligent AI Delegation to Secure the Emerging Agentic Web for Future Economies
The AI industry is currently obsessed with ‘agents’—autonomous programs that do more than just chat. However, most current multi-agent systems...
Export Your ML Model in ONNX Format
In this article, you will learn how to export models from PyTorch, scikit-learn, and TensorFlow/Keras to ONNX and compare PyTorch...
The Best AI Image Generator (no nsfw filter)
An additional reason is that many simply can’t stand the word “no”. I can relate. When you are in a...
Moonshot AI Launches Kimi Claw: Native OpenClaw on Kimi.com with 5,000 Community Skills and 40GB Cloud Storage Now
Moonshot AI has officially brought the power of OpenClaw framework directly to the browser. The newly rebranded Kimi Claw is...
Agent Evaluation: How to Test and Measure Agentic AI Performance
In this article, you will learn a practical, production-focused framework for testing and measuring the real-world performance of agentic AI...
AI in the Workplace Statistics 2025–2035
AI will have an impact on work between 2025 and 2035 similar to that of the internet between 2000 and...
Meet ‘Kani-TTS-2’: A 400M Param Open Source Text-to-Speech Model that Runs in 3GB VRAM with Voice Cloning Support
The landscape of generative audio is shifting toward efficiency. A new open-source contender, Kani-TTS-2, has...
The 7 Biggest Misconceptions About AI Agents (and Why They Matter)
The 7 Biggest Misconceptions About AI Agents (and Why They Matter) (click to enlarge)Image by Author AI agents are...
Unlimited Virtual Girlfriend AI that Works like ChatGPT
A Silent Revolution in SocializingThere has been a silent revolution in socializing. It isn’t loud. It isn’t flashy. It just…happened.And...
[In-Depth Guide] The Complete CTGAN + SDV Pipeline for High-Fidelity Synthetic Data
metadata_dict = metadata.to_dict() diagnostic = DiagnosticReport() diagnostic.generate(real_data=real, synthetic_data=synthetic_sdv, metadata=metadata_dict, verbose=True) print("Diagnostic score:", diagnostic.get_score()) quality = QualityReport() quality.generate(real_data=real, synthetic_data=synthetic_sdv, metadata=metadata_dict, verbose=True)...
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