Generative AI
Coding Implementation Designing a Formal Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation
February 16, 2026
Coding Implementation Designing a Formal Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation
In this tutorial, we build a fully functional tutor agent that goes beyond short-term chat communication and learns continuously over…
Moonshot AI Launches Kimi Claw: Native OpenClaw on Kimi.com with 5,000 Community Skills and 40GB Cloud Storage Now
February 15, 2026
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 frame directly in the browser. Recently rebranded To me Claw you…
Meet 'Kani-TTS-2': A 400M Param Open Source-to-Speech Model Powered by 3GB VRAM and Speech Synthesis Support
February 15, 2026
Meet 'Kani-TTS-2': A 400M Param Open Source-to-Speech Model Powered by 3GB VRAM and Speech Synthesis Support
The quality of the sound produced changes to efficiency. A new open source competitor, Kani-TTS-2released…
Google AI Launches WebMCP to Enable Direct and Streamlined Website Interactions for New AI Agents
February 15, 2026
Google AI Launches WebMCP to Enable Direct and Streamlined Website Interactions for New AI Agents
Google is officially turning Chrome into a playground for AI agents. For years, AI 'browsers' have relied on a messy…
How to Build a Memory System for Long-Term Scheduling AI Consulting Agents
February 14, 2026
How to Build a Memory System for Long-Term Scheduling AI Consulting Agents
In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing a raw conversational history…
Exa AI Launches Exa Instant: A Sub-200ms Neural Search Engine Designed to Eliminate Real-Time Workflow Bottlenecks
February 13, 2026
Exa AI Launches Exa Instant: A Sub-200ms Neural Search Engine Designed to Eliminate Real-Time Workflow Bottlenecks
In the world of Large-scale Language Models (LLMs), speed is the only factor that matters once accuracy is resolved. For…
[In-Depth Guide] A Complete CTGAN + SDV Pipeline for High-Fidelity Synthetic Data
February 13, 2026
[In-Depth Guide] A 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)…
Kyutai Releases Hibiki-Zero: A3B Parameter for Simultaneous Speech-to-Speech Translation Using GRPO Reinforcement Learning Without Any Word-Level Aligned Data
February 13, 2026
Kyutai Releases Hibiki-Zero: A3B Parameter for Simultaneous Speech-to-Speech Translation Using GRPO Reinforcement Learning Without Any Word-Level Aligned Data
Kyutai released Hibiki-Zeroa new model for simultaneous speech-to-speech translation (S2ST) and speech-to-text translation (S2TT). The system translates the source speech…
Google DeepMind Launches Aletheia: An AI Agent From Mathematical Competitions to Independent Research Discovery
February 13, 2026
Google DeepMind Launches Aletheia: An AI Agent From Mathematical Competitions to Independent Research Discovery
The Google DeepMind team presented Aletheiaa special AI agent designed to bridge the gap between…
How to Align Big-Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback
February 13, 2026
How to Align Big-Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback
In this tutorial, we use an end-to-end Direct Preference Optimization workflow to match a large linguistic model to human preferences…