This tool calculates radiative transfer through the atmosphere using spectrally resolved line-by-line methods, accounting for gas absorption, temperature profiles, and pressure-dependent line ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by ...

Abstract: In this paper, we consider the model merging process for large language models (LLMs) under a two-stage optimization framework. Traditional merging methods usually apply fixed blending rates ...

This repository is supplementary to our paper, CompilerDream: Learning a Compiler World Model for General Code Optimization [Arxiv]. We provide the code of our experiments, along with the training ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

Meta AI has released Llama Prompt Ops, a Python package designed to streamline the process of adapting prompts for Llama models. This open-source tool is built to help developers and researchers ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

Using several recent innovations, the company Databricks will let customers boost the IQ of their AI models even if they don’t have squeaky clean data. Databricks, a company that helps big businesses ...