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Cohere Releases Tiny Aya: A 3B-Parameter Small Language Model that Supports 70 Languages and Runs Locally Even on a Phone
Tiny Aya is a new family of small multilingual language models (SLMs) from Cohere Labs that delivers state-of-the-art performance across 70 languages with only 3.35B parameters. By prioritizing balanced linguistic coverage over brute-force scaling, the model family—which includes a global model and three region-specific variants—outperforms larger competitors like Gemma3-4B in translation quality for 46 of 61 languages and mathematical reasoning in underrepresented regions like Africa. The models utilize a dense decoder-only architecture and were refined through a sophisticated synthetic data pipeline called Fusion-of-N, which distills high-quality signals from frontier models while preserving regional nuances. Designed for accessibility and practical deployment, Tiny Aya is optimized for edge devices, achieving 10 to 32 tokens per second on iPhones while maintaining high generation quality through efficient 4-bit quantization..… Read the full analysis/article here.

Google DeepMind Releases Lyria 3: An Advanced Music Generation AI Model that Turns Photos and Text into Custom Tracks with Included Lyrics and Vocals
Lyria 3 is Google's new multimodal generative AI model integrated into the Gemini app that converts text prompts and photos into high-fidelity, 30-second music tracks. Designed for both creators and engineers, the model achieves superior long-range coherence and 48kHz audio quality, generating full arrangements complete with vocals and lyrics. For technical safety, Google implements SynthID, an inaudible digital watermarking technology that ensures AI-generated content remains detectable even after heavy editing. This release, paired with the Music AI Sandbox, transitions generative audio from simple MIDI loops to professional-grade, "human-in-the-loop" synthesis, setting a new standard for the 2026 AI music landscape..… Read the full analysis/article here.
Latest Releases in Last 72 Hours
Project Notebooks/Tutorials
▶ How to Build Human-in-the-Loop Plan-and-Execute AI Agents with Explicit User Approval Using LangGraph and Streamlit Codes Tutorial
▶ Meet CopilotKit: Framework for building agent-native applications with Generative UI, shared state, and human-in-the-loop workflows Codes
▶ A Coding Implementation to Design a Stateful Tutor Agent with Long-Term Memory, Semantic Recall, and Adaptive Practice Generation Codes Tutorial
▶ How to Build an Atomic-Agents RAG Pipeline with Typed Schemas, Dynamic Context Injection, and Agent Chaining Codes Tutorial
▶ How to Build a Production-Grade Agentic AI System with Hybrid Retrieval, Provenance-First Citations, Repair Loops, and Episodic Memory Codes Tutorial