Editors Pick

Artificial Intelligence Editors Pick

Meet oLLM: A Lightweight Python Library that brings 100K-Context LLM Inference to 8 GB Consumer GPUs via SSD Offload—No Quantization Required
ByRicardo September 29, 2025

oLLM is a light-weight Python library constructed on prime of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to quick native SSDs. The undertaking targets offline, single-GPU workloads and explicitly avoids quantization, utilizing FP16/BF16 weights with FlashAttention-2 and disk-backed KV caching to preserve VRAM inside 8–10…

Read More Meet oLLM: A Lightweight Python Library that brings 100K-Context LLM Inference to 8 GB Consumer GPUs via SSD Offload—No Quantization Required
Editors Pick Security

Ensuring AI Safety in Production: A Developer’s Guide to OpenAI’s Moderation and Safety Checks
ByRicardo September 29, 2025

When deploying AI into the true world, security isn’t non-compulsory—it’s important. OpenAI locations sturdy emphasis on making certain that purposes constructed on its fashions are safe, accountable, and aligned with coverage. This article explains how OpenAI evaluates security and what you are able to do to meet these requirements. Beyond technical efficiency, accountable AI deployment…

Read More Ensuring AI Safety in Production: A Developer’s Guide to OpenAI’s Moderation and Safety Checks
Agentic AI Editors Pick

This AI Research Proposes an AI Agent Immune System for Adaptive Cybersecurity: 3.4× Faster Containment with <10% Overhead
ByRicardo September 28, 2025

Can your AI safety stack profile, motive, and neutralize a dwell safety risk in ~220 ms—and not using a central round-trip? A staff of researchers from Google and University of Arkansas at Little Rock define an agentic cybersecurity “immune system” constructed from light-weight, autonomous sidecar AI brokers colocated with workloads (Kubernetes pods, API gateways, edge…

Read More This AI Research Proposes an AI Agent Immune System for Adaptive Cybersecurity: 3.4× Faster Containment with <10% Overhead
Agentic AI Editors Pick

The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output Tokens
ByRicardo September 28, 2025September 28, 2025

Google launched an updated version of Gemini 2.5 Flash and Gemini 2.5 Flash-Lite preview models across AI Studio and Vertex AI, plus rolling aliases—gemini-flash-latest and gemini-flash-lite-latest—that all the time level to the latest preview in every household. For manufacturing stability, Google advises pinning mounted strings (gemini-2.5-flash, gemini-2.5-flash-lite). Google will give a two-week e-mail discover earlier…

Read More The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output Tokens
Editors Pick Open Source

What is Asyncio? Getting Started with Asynchronous Python and Using Asyncio in an AI Application with an LLM
ByRicardo September 27, 2025

In many AI functions as we speak, efficiency is a giant deal. You could have seen that whereas working with Large Language Models (LLMs), a whole lot of time is spent ready—ready for an API response, ready for a number of calls to complete, or ready for I/O operations. That’s the place asyncio comes in….

Read More What is Asyncio? Getting Started with Asynchronous Python and Using Asyncio in an AI Application with an LLM
AI Agents Editors Pick

OpenAI Releases ChatGPT ‘Pulse’: Proactive, Personalized Daily Briefings for Pro Users
ByRicardo September 25, 2025

OpenAI launched ChatGPT Pulse, a proactive expertise that compiles personalised, research-backed updates every morning. In preview on cell and restricted to $200/month Pro subscribers, Pulse surfaces topical playing cards constructed from a consumer’s chats, express suggestions, and opt-in related apps (e.g., calendar/e-mail), shifting ChatGPT from a request-driven instrument to a context-aware assistant. What Pulse Actually…

Read More OpenAI Releases ChatGPT ‘Pulse’: Proactive, Personalized Daily Briefings for Pro Users
Agentic AI Editors Pick

OpenAI Introduces GDPval: A New Evaluation Suite that Measures AI on Real-World Economically Valuable Tasks
ByRicardo September 25, 2025

OpenAI launched GDPval, a brand new analysis suite designed to measure how AI fashions carry out on real-world, economically precious duties throughout 44 occupations in 9 GDP-dominant U.S. sectors. Unlike tutorial benchmarks, GDPval facilities on genuine deliverables—shows, spreadsheets, briefs, CAD artifacts, audio/video—graded by occupational specialists by means of blinded pairwise comparisons. OpenAI additionally launched a…

Read More OpenAI Introduces GDPval: A New Evaluation Suite that Measures AI on Real-World Economically Valuable Tasks
Artificial Intelligence Editors Pick

Vision-RAG vs Text-RAG: A Technical Comparison for Enterprise Search
ByRicardo September 25, 2025

Most RAG failures originate at retrieval, not era. Text-first pipelines lose format semantics, desk construction, and determine grounding throughout PDF→textual content conversion, degrading recall and precision earlier than an LLM ever runs. Vision-RAG—retrieving rendered pages with vision-language embeddings—straight targets this bottleneck and reveals materials end-to-end features on visually wealthy corpora. Pipelines (and the place they…

Read More Vision-RAG vs Text-RAG: A Technical Comparison for Enterprise Search
Agentic AI Editors Pick

CloudFlare AI Team Just Open-Sourced ‘VibeSDK’ that Lets Anyone Build and Deploy a Full AI Vibe Coding Platform with a Single Click
ByRicardo September 24, 2025September 24, 2025

CloudFlare AI workforce simply open-sourced VibeSDK, a full-stack “vibe coding” platform that you’ll be able to deploy end-to-end with a single click on on Cloudflare’s community or GitHub Repo Fork. It packages code era, protected execution, reside preview, and multi-tenant deployment so groups can run their very own inner or customer-facing AI app builder with…

Read More CloudFlare AI Team Just Open-Sourced ‘VibeSDK’ that Lets Anyone Build and Deploy a Full AI Vibe Coding Platform with a Single Click
Artificial Intelligence Editors Pick

Coding Implementation to End-to-End Transformer Model Optimization with Hugging Face Optimum, ONNX Runtime, and Quantization
ByRicardo September 24, 2025

In this tutorial, we stroll by how we use Hugging Face Optimum to optimize Transformer fashions and make them quicker whereas sustaining accuracy. We start by establishing DistilBERT on the SST-2 dataset, and then we evaluate completely different execution engines, together with plain PyTorch and torch.compile, ONNX Runtime, and quantized ONNX. By doing this step-by-step,…

Read More Coding Implementation to End-to-End Transformer Model Optimization with Hugging Face Optimum, ONNX Runtime, and Quantization

Editors Pick

Meet oLLM: A Lightweight Python Library that brings 100K-Context LLM Inference to 8 GB Consumer GPUs via SSD Offload—No Quantization Required

Ensuring AI Safety in Production: A Developer’s Guide to OpenAI’s Moderation and Safety Checks

This AI Research Proposes an AI Agent Immune System for Adaptive Cybersecurity: 3.4× Faster Containment with <10% Overhead

The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output Tokens

What is Asyncio? Getting Started with Asynchronous Python and Using Asyncio in an AI Application with an LLM

OpenAI Releases ChatGPT ‘Pulse’: Proactive, Personalized Daily Briefings for Pro Users

OpenAI Introduces GDPval: A New Evaluation Suite that Measures AI on Real-World Economically Valuable Tasks

Vision-RAG vs Text-RAG: A Technical Comparison for Enterprise Search

CloudFlare AI Team Just Open-Sourced ‘VibeSDK’ that Lets Anyone Build and Deploy a Full AI Vibe Coding Platform with a Single Click

Coding Implementation to End-to-End Transformer Model Optimization with Hugging Face Optimum, ONNX Runtime, and Quantization

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