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How to Leverage Local Small Language Models for Your Projects

Data Analytics2 days ago1View 0Likes 0Comments

For a while, the default assumption was that bigger meant better. Developers routed their applications through cloud APIs, accepting latency, usage costs, and data exposure as unavoidable trade-offs. That assumption no longer holds. Small language models (SLMs) have matured significantly. These models typically range from 1 billion to 13 billion parameters, compact enough to…

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

AI News2 days ago3Views 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 the latest Gemini AI model from Google

OpenAI2 days ago2Views 0Likes 0Comments

A note from Google and Alphabet CEO Sundar Pichai: Nearly two years ago we kicked off the Gemini era, one of our biggest scientific and product endeavors ever undertaken as a company. Since then, it’s been incredible to see how much people love it. AI Overviews now have 2 billion users every month. The Gemini…

Modern Operating Systems for AI Agents

Human Ai2 days ago2Views 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…

How to Answer AI System Design Interview Questions

Data AnalyticsAugust 20, 20266Views 0Likes 0Comments

For years, system design interviews meant "Design YouTube," "Design Uber," or "Design WhatsApp." Companies hiring AI Engineers, Applied Scientists, and GenAI Engineers now ask a different set of questions: "Design ChatGPT," "Design a customer support AI," "Design GitHub Copilot," "Design an AI code reviewer," "Design a legal document assistant." Most engineers can call an…

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

AI NewsAugust 20, 20266Views 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…

Gemini 3 for developers: New reasoning, agentic capabilities

OpenAIAugust 20, 20265Views 0Likes 0Comments

Google Antigravity To advance how the model and IDE work together, we’re introducing Google Antigravity to showcase what’s possible with Gemini 3. It’s an agentic development platform that enables developers to operate at a higher, task-oriented level by managing agents across workspaces, while retaining a familiar AI IDE experience at its core. It’s a faster…

What is RAFT? RAG + Fine-Tuning

Human AiAugust 19, 20266Views 0Likes 0Comments

In simple terms, retrieval-augmented fine-tuning, or RAFT, is an advanced AI technique in which retrieval-augmented generation is joined with fine-tuning to enhance generative responses from a large language model for specific applications in that particular domain. It allows the large language models to provide more accurate, contextually relevant, and robust results, especially for targeted sectors…

How to Build a Simple AI Web Scraper with Python

Data AnalyticsAugust 15, 20267Views 0Likes 0Comments

Web scraping is the process of collecting information from websites automatically. A normal scraper usually extracts raw text, HTML elements, or the full page content. But when you are building AI agents or large language model (LLM) applications, sending the entire webpage to the model is not always the best approach. A better…

Liquid AI Releases LFM2.5-VL-3B: A 3B Vision-Language Model That Reads Screens, Grounds Objects, and Calls Tools On-Device

AI NewsAugust 15, 20268Views 0Likes 0Comments

Yesterday, Liquid AI released LFM2.5-VL-3B. It is a 3.1B-parameter vision-language model built for on-device deployment. The model reads digital screens across mobile, web, and desktop. It grounds objects to coordinates, parses documents and charts, and calls tools from text or image input. Liquid AI reports an average of 69.4 across 28 vision benchmarks. That matches…