AI Tools

Andrzej Karpathy was released self researchA minimal Python tool designed to enable AI agents to conduct machine learning experiments autonomously. This is a different version of the project nanochat LLM …

print(“5) Concurrency progress: thread_map / process_map”) def cpuish(n: int) -> int: x = 0 for i in range(50_000): x = (x + (n * i)) % 1_000_003 return x nums …

💡 The role of AI architect, combining expertise in computer science, engineering, and AI systems implementation, is becoming increasingly important for organizations. scale artificial intelligence. AI architects design, implement, and …

Enterprise IT operations have advanced into the stage of organizational maturity. Distributed middleware and data-intensive business applications now operate under regulatory constraints with the advancement of mission-critical environments. Although improvements …

In this tutorial, we will explore how we use fearlessly As a high-performance, Python-native data engine for building end-to-end analytical pipelines. We start by loading the real-world MNIST dataset, then …

In this tutorial, we build an advanced tree-of-thoughts (TOT) multi-branch reasoning agent from scratch. Instead of relying on linear thought-chain logic, we design a system that generates multiple logic branches, …

According to recent reports financial Times, reutersAnd GuardianThe conversation around AI has taken a remarkable turn in the past month. Coverage has focused less on benchmark wins product launch And …

Image by author # Introduction Most engineers encounter system design when preparing for interviews, but in reality, it is much bigger than that. System design is about understanding how large-scale …

Every question matters. Traditional retrieval-augmented generation (RAG) systems treat each search in isolation, wasting computation and missing learning opportunities. Evolved Retrieval Memory (ERM) changes: it enables RAG to remember successful …

Last updated on March 4, 2026 by Editorial Team Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. When 200,000 GitHub stars meet 30,000 exposed instances, it’s time to …