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The Local AI Stack for Productive SLMs

Data Analytics18 hours ago2Views 0Likes 0Comments

Introduction Running a small language model locally is straightforward. Running one productively — inside a real development workflow, with proper context, tool access, and iteration speed — is a different problem entirely. The gap between "I got a model responding in my terminal" and "I have a local AI setup that actually improves how I…

Hugging Face Unveils Microduck: A $399 Open-Source 25 cm Biped You Train with Reinforcement Learning

AI News18 hours ago0Views 0Likes 0Comments

Most robotics launches ask you to trust a demo video. Pollen Robotics, the Bordeaux robotics team at Hugging Face, is instead shipping the training loop. This week it opened pre-orders for Microduck, a 25 cm bipedal robot in which every movement — walking, sitting, kicking, roller-skating, standing back up after a fall — is a…

Build with Gemini Omni 1.1 Flash

OpenAI19 hours ago1View 0Likes 0Comments

Today, we’re introducing Gemini Omni 1.1 Flash, a new suite of creative controls and generative video capabilities to support developers. Gemini Omni brought real-world reasoning to generative creation, and today’s updates make Omni 1.1 production-ready for professional use via the Gemini API in Google AI Studio. Whether you’re building generative video workflows, creative tools, or…

NLP in 2026: Trends, Use Cases & Future of Language AI | Shaip

Human Ai20 hours ago1View 0Likes 0Comments

Every day, your organization produces a mountain of words. Support tickets, contracts, clinical notes, customer reviews, emails, call transcripts. Roughly 80% of all enterprise data exists as unstructured text like this — and until recently, almost none of it could be analyzed at scale. It just sat there. Natural Language Processing changed that. And in 2026, with large…

Run Muse Glimmer for Local Vibe Coding with llama.cpp, DFlash, and Pi

Data AnalyticsAugust 24, 20265Views 0Likes 0Comments

Muse Glimmer is gaining attention in the local AI community and is being compared with Qwen's 27B-class models. In many cases, it is performing better, especially for local coding and agentic workflows. Meta looks strong in the open-model space, and with a few more iterations, models like this could start competing closely with proprietary systems.…

Xiaomi’s MiLM Plus Releases PROVE: Perception-Aligned Object Removal Metrics RC-S and RC-T With a Real-World Video Benchmark

AI NewsAugust 24, 20264Views 0Likes 0Comments

Object removal models have improved faster than the metrics used to judge them. Diffusion erasers now reconstruct shadows, reflections and occluded structure convincingly, yet PSNR, SSIM, LPIPS, ReMOVE and CFD frequently rank their outputs the wrong way. The root cause is structural: erasure is an ill-posed, one-to-many task, so no single ground truth exists to…

Introducing Gemma 4 12B

OpenAIAugust 24, 20264Views 0Likes 0Comments

Today, we are introducing Gemma 4 12B, our latest model designed to bring agentic multimodal intelligence directly to laptops. Bridging the gap between our edge-friendly E4B and our more advanced 26B Mixture of Experts (MoE), Gemma 4 12B packages powerful capabilities inside a reduced memory footprint. It is also our first mid-sized model to feature…

Modern Operating Systems for AI Agents

Human AiAugust 24, 20263Views 0Likes 0Comments

An operating system (OS) is the fundamental software that acts as an intermediary between computer hardware and user applications. It manages hardware resources such as the CPU, memory, storage, and input/output devices, while providing essential services like process scheduling, file management, security, and user interfaces. Without an OS, users would need to interact directly with…

Run Qwen3.8-27B as a Local AI Coding Agent in Just 3 Commands

Data AnalyticsAugust 19, 20267Views 0Likes 0Comments

Running a capable 27B model as a local AI coding agent used to mean setting up inference servers, configuring endpoints, and connecting everything manually. With Qwen3.8-27B, Ollama, and OpenCode, the process is now remarkably straightforward. Qwen3.8-27B is one of the local models I have been most excited to try. It is strong at coding, reasoning,…

Developing an End-to-End Document Intelligence Pipeline with docTR for OCR, Layout Analysis, KIE, Benchmarking, and Searchable PDFs

AI NewsAugust 19, 20264Views 0Likes 0Comments

import os, sys, io, json, time, math, re, subprocess, warnings from collections import Counter, defaultdict warnings.filterwarnings("ignore") os.environ.setdefault("USE_TORCH", "1") def _pip(*pkgs): subprocess.run([sys.executable, "-m", "pip", "install", "-q", *pkgs], check=False) try: import doctr except ImportError: print(">> Installing python-doctr (this takes ~1-2 min on Colab)...") _pip("python-doctr[viz]") try: import reportlab except ImportError: _pip("reportlab") import numpy as np import…