A tutorial walks through building a small but complete language model from scratch using PyTorch, using character-level tokenization and explaining each component's purpose. The guide targets develope…
A 30-day series on building AI-powered products reaches Day 22, detailing how knowledge workers can package their expertise into scalable products using AI. The piece outlines a six-step process for c…
Workload Identity Federation has reached general availability, enabling keyless authentication for Claude API users. The author details per-provider migration steps and warns about a precedence trap t…
A user replaced ChatGPT Plus with local AI for 30 days, saving $240 annually, and reported on the experience of using AI for daily drafting and coding tasks.…
Python's async and await keywords only make code eligible for asynchronous execution, not automatically asynchronous, a distinction that many developers misunderstand. The article on Towards AI explai…
A developer lost six hours of agent work after assuming Claude Managed Agents would retain state between sessions, discovering that Anthropic's infrastructure handles reasoning while users must manage…
LangGraph, an orchestration framework from the LangChain team, enables developers to build stateful, controllable AI workflows by modeling them as graphs with nodes, edges, and shared state. The frame…
Anthropic's Claude Code offers five orchestration methods for multi-step AI workflows: single agent, subagents, skills, agent teams, and dynamic workflows. The article provides a guide to choosing the…
A developer in a Discord group exhausted his Codex subscription in 11 days building a billing feature, while the author runs a full AI stack for $10-15/month. The author argues that benchmark scores o…
Nvidia AI Labs researcher Ziv Ilan presented at GTC 2026 that video diffusion models can achieve real-time performance without 50 denoising steps by using a stack of quantization, caching, and distill…
A machine learning researcher pitted 21 algorithms against each other in a regression task using a 512x512 image as the target function, but artificially inflated the input space to 500, 1000, and 200…
Reinforcement learning trains AI agents through trial and error, rewarding desired actions and penalizing mistakes, similar to teaching a dog to fetch. This approach powers systems like AlphaGo, robot…
A developer built a custom Inference Optimization Engine on an NVIDIA RTX 4050 GPU to analyze how PyTorch, ONNX, and TensorRT interact with hardware, revealing that model deployment and optimization c…
AI-powered systems in production face critical security vulnerabilities, including prompt injection and tool-based exploits, as demonstrated by real-world incidents in 2025 such as a Supabase agent da…
A new guide maps five distinct RAG architectures for production systems, from naive RAG to advanced layered designs, explaining when to use each to avoid confident wrong answers at scale. The article …
A research project comparing three generations of quantitative trading strategies—1970s rule-based systems, classical machine learning, and Transformer-based deep learning—on Apple stock data from 201…
A new architecture using Azure Bot Service, Azure Functions, and Azure Service Bus enables secure Telegram connectivity for AI agents without exposing local machines to the internet. The approach elim…
Data scientists have developed Linear Trees, a hybrid model combining decision tree structure with linear regression, which fits separate linear models within each leaf region to capture nonlinear rel…
A machine learning model developed in Brazil triages pediatric chest X-rays for tuberculosis, addressing class imbalance and image heterogeneity from multiple clinical sites. The pipeline standardizes…
DeepSeek's open-source reasoning model, which matched top closed systems on math and coding benchmarks, can be run locally via Ollama, but most users will only access smaller distilled versions, not t…