Opinion

Most businesses are measuring AI wrong, and it’s costing them

Amazon just shut down its AI leaderboard tracking internal token usage. The gamification was driving more AI-powered tasks but fewer useful results. “Please don’t use AI just for the sake of using AI, ...
marktechpost

Salesforce CodeGen Tutorial: Generate, Validate, and Rerank Python Functions With Unit Tests and Safety Checks

In this tutorial, we implement an end-to-end workflow for Salesforce CodeGen. We load a CodeGen model from Hugging Face, prepare it for code generation, and use it to generate Python functions from ...
note

[82% Reduction Measured] Cutting Off AI Agent Context Consumption — Headroom Verification & 15 Low-Token High-Quality Techniques

"context left until auto-compact: 9%" Have you ever felt your stomach tighten when seeing this message while using Claude Code? Working on a long task in Cursor only for it to suddenly start giving ...
marktechpost

How to Build an Autonomous Machine Learning Research Loop in Google Colab Using Andrej Karpathy’s AutoResearch Framework for Hyperparameter Discovery and Experiment Tracking

In this tutorial, we implement a Colab-ready version of the AutoResearch framework originally proposed by Andrej Karpathy. We build an automated experimentation pipeline that clones the AutoResearch ...
Hacker

7 Essential AI Engineering Libraries to Replace Boilerplate

Hard. Unreasonably hard. I spent a weekend writing a streaming parser that handled OpenAI’s format, then Anthropic changed theirs, and suddenly my “universal” parser was universal for exactly one ...
unite

Tracking Large Language Models (LLM) with MLflow : A Complete Guide

As Large Language Models (LLMs) grow in complexity and scale, tracking their performance, experiments, and deployments becomes increasingly challenging. This is where MLflow comes in – providing a ...