Unleashing the Power of GPT-3 with a Serverless Node.js REST API: A Step-by-Step Guide

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • codehooks-io-examples

    Example code for codehooks.io - a RestDB company

  • Full source is available on our GitHub example repo. We will update this example when ChatGPT becomes available as an API.

  • Redis

    Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

  • The code uses the codehooks-js library to handle routing and middleware for the API, and the node-fetch library to make HTTP requests to the OpenAI API. The code also uses the built-in codehooks.io Key-Value store to cache the response from the OpenAI API for 60 seconds, in order to reduce the number of requests made to the OpenAI API (If you want to create your own Node.js Express backend, you just need to replace this cache with Redis for example).

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • askai

    Command Line Interface for OpenAi ChatGPT (by yudax42)

  • This is an example of a serverless Node.js application that uses codehooks.io create a REST API for the OpenAI GPT-3 language model (which similar in many ways to ChatGPT). The API allows REST API clients to send text prompts to the GPT-3 model and receive a response in return.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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