marktechpost

LongWriter-6k Dataset Developed Leveraging AgentWrite: An Approach to Scaling Output Lengths in LLMs Beyond 10,000 Words While Ensuring Coherent and High-Quality Content Generation

The field of large language models (LLMs) has seen tremendous advancements, particularly in expanding their memory capacities to process increasingly extensive contexts. These models can now handle ...
Spotify

Suno is a music AI company aiming to generate $120 billion per year. But is it trained on copyrighted recordings?

Credit: Kathy Hutchins/Shutterstock When you enter 'beminem' into Suno as a prompt, says Ed Newton-Rex, it produces music that's strikingly similar to that of superstar Eminem (pictured) In this piece ...
IEEE

Synthesizing Formal Network Specifications From Input-Output Examples

Abstract: We propose NetSpec, a tool that synthesizes network specifications in a declarative logic programming language from input-output examples. NetSpec aims to accelerate the adoption of formal ...
InfoWorld

Semantic Kernel: A bridge between large language models and your code

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...
GitHub

Unifying MATLAB and Simulink Example

This repository contains two examples accompanying the series of blog posts titled Unifying MATLAB and Simulink: A User Story on Guy on Simulink. The workflow illustrated in this example ...
GitHub

A repo showing an example of how to call Julia from MATLAB and read the results.

Using PyCall, this requires python hooked up to MATLAB correctly but does less reading and writing of data passed to Julia. Using a precompiled image, this requires that your module can precompile ...