Smarter document extraction starts here.

Here are 12 AI prompt templates professionals can use to write, plan, debug, analyze data, and get more useful output from AI tools.

Stop Googling. The answer is staring you right in the face—you just have to read it.

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

A clear understanding of the fundamentals of ML improves the quality of explanations in interviews.Practical knowledge of Python libraries can be ...

Abstract: Nonlinear affine systems with relative degree two widely exist in the control field, and the unified output tracking control approach of these systems is still an open problem. This paper ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...

Abstract: Static type inference is an effective way to maintain the safety of programs written in a dynamically typed language. However, foreign functions implemented in another programming language ...

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

AIS is an evaluation framework for assessing whether the output of natural language models only contains information about the external world that is verifiable in source documents, or attributable to ...