Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
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…
The KV cache is a critical optimization for LLM inference that stores the Key and Value matrices from previously generated tokens, eliminating the need to recompute attention over the entire sequence at each generation s…
The author successfully ran MNIST digit recognition on an ESP32-C3 microcontroller by compiling a neural network directly into a C header file and executing it as firmware, without using TensorFlow, TFLite, or any ML run…
AI systems must operate reliably 24/7 in enterprise environments, architectural assumptions made during development quickly break down, as edge cases become normal traffic and model provider updates silently degrade perf…
Simplified, analogy-driven explanation of key AI and Generative AI terms, written by an individual preparing for the AWS Certified AI Practitioner exam. It defines concepts like Artificial Intelligence, Machine Learning,…
AI-driven approach to improve failure detection and diagnosis in Apache Airflow, a tool for orchestrating ETL pipelines. The method combines large language models (LLMs) for classifying log messages, statistical techniqu…