Nicolay Gerold

Overview

AIConfig saves prompts, models and model parameters as source control friendly configs. This allows you to iterate on prompts and model parameters separately from your application code .

1. Prompts as configs : a standardized JSON format to store generative AI model settings, prompt inputs/outputs, and flexible metadata.


2. Model-agnostic SDK :

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Free AI - Text prompt to SVG

Discover the power of AI with our Free Text-to-SVG Generator! Effortlessly convert your text prompts into stunning SVG images using our advanced AI technology.

Fast-csv

Fast-csv is library for parsing and formatting CSVs or any other delimited value file in node.

Features

• CSV Formatting


• CSV Parsing


• Built using typescript.


• Flexible formatting and parsing options, to fit almost any scenario.


• Built with streams first to avoid creating large memory footprint when parsing large files.


• Battle tested in production,

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Datasette is a tool for exploring and publishing data. It helps people take data of any shape, analyze and explore it, and publish it as an interactive website and accompanying API.

Datasette is aimed at data journalists, museum curators, archivists, local governments, scientists, researchers and anyone else who has data that they wish to share with... See more

watchfiles

Simple, modern and high performance file watching and code reload in python.

Documentation : watchfiles.helpmanual.io

Source Code : github.com/samuelcolvin/watchfiles

Underlying file system notifications are handled by the Notify rust library.

This package was previously named "watchgod", see the migration guide for more information.

Reward prediction error = dopamine released - expected

LoRAX (LoRA eXchange) is a framework that allows users to serve thousands of fine-tuned models on a single GPU, dramatically reducing the cost of serving without compromising on throughput or latency.

📖 Table of contents

• 📖 Table of contents


• 🌳 Features


• 🏠 Models


• 🏃‍♂️ Getting started with Docker
  
  
  • Launch LoRAX Server
  
  
  • Prompt via REST API
  
  
  • Prompt via Python

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The motor, auditory, and visual systems teach themselves. Try out different parameters and find the ones which make the behavior better and then focus on these. Isolate the errors and make a variety of errors in a particular aspect of the motor movement to signal it is plastic.

This README is under construction as we work to build a new community driven high performance key-value store.

This project was forked from the open source Redis project right before the transition to their new source available licenses.

This README is just a fast quick start document. We are currently working on a more permanent documentation page.

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