Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
A feature store is the operational center of a real-time ML system, responsible for storage, serving, registry, and consistency enforcement. Its central design challenge is achieving both consistency and low latency at s…
The Gemma 4 26B model was the first local AI to achieve a perfect score on the HumanEval benchmark, including solving the notoriously difficult problem 145. This problem requires sorting integers by the sum of their digi…
Stable Audio 3 is a family of fast latent diffusion models (small, medium, large) designed for variable-length audio generation and editing, capable of producing several minutes of sound. The models use a novel semantic-…
Grab's Analytics Data Warehouse team implemented a multi-agent AI system to automate engineering support workflows, handling tasks like SQL debugging and platform troubleshooting to reduce repetitive operational work. Th…
The author conducted a six-week benchmark comparing ten agentic AI frameworks—including LangGraph, CrewAI, and AutoGen—by running identical tasks across five evaluation dimensions: setup time, tool integration complexity…
Aspect-oriented programming (AOP) principles for AI agents by using "hookflows" as an event bus to handle cross-cutting concerns like notifications. Instead of having each agent explicitly call a Telegram notification fu…
The article compares three small, fast LLMs—Gemini 3.5 Flash, Claude Haiku, and GPT-4o mini—for routine tasks like classification and code routing, emphasizing that cheap, consistent models are preferable over frontier m…
Five key mistakes the author made while building Qioiper, a social media platform powered by seven AI systems. These errors included underestimating real-time latency for AI moderation, integrating CLIP AI before having …
Deploying applications powered by large language models (LLMs) introduces unique challenges compared to traditional software, as system behavior can drift unexpectedly due to changes in prompts, model versions, retrieval…
Interactive visual guide to LeNet-5, a neural network designed to recognize handwritten digits. It explains key components like convolution and pooling layers, feature maps, filters, and the RBF output layer, allowing us…
Generative AI is becoming an integral layer of modern software architecture, not a separate feature, and that backend engineers are well-positioned to work in this space due to their existing expertise in systems enginee…
Meryem Arik, CEO of Doubleword, presented on the importance of AI model gateways as a solution for managing the complexity that arises when decentralized teams use multiple inference providers (like OpenAI, Mistral, or s…
ARES (Adaptive Reasoning Effort Selection) is a framework that reduces the cost of multi-step LLM agent tasks by using a lightweight router to predict the minimum reasoning effort needed for each step, rather than applyi…
The article explains that a function's ease of optimization via gradient descent depends on two properties: strong convexity, which ensures a minimum curvature floor (the function cannot be too flat), and L-smoothness, w…
Building a React Native (Expo) field inspection app that uses a bundled CoreML model (under 50MB) for real-time, offline AI detection of PPE violations like missing hard hats on construction sites. It details the technic…
A method for decomposing AI-generated images into seven independent layers (background, middle ground, foreground, and up to four subjects) using a Melius node graph and multiple LLMs. This approach allows users to move,…
The author successfully fine-tuned a 1.1 billion parameter TinyLlama model using QLoRA on consumer hardware, training only 0.2% of the model's parameters via low-rank adapter matrices. The project involved overcoming cha…
Creation of "Local Gemma 4 Content Radar," a privacy-focused editorial tool that runs the Gemma 4 AI model locally to analyze content signals and produce structured publishing decisions. The tool processes a batch of can…
Engineering challenges and architecture behind Hoovik, a real-time multimodal emotion AI pipeline for video conferencing. The system processes live audio and video streams using a distributed multi-cloud topology, employ…
To build a WhatsApp AI appointment agent for clinics using OpenAI, n8n, and Google Calendar to automate patient scheduling. The system uses natural language processing to understand patient intent, check calendar availab…