What is OpenGPT: Open alternative to chatGPT.

In recent months, ChatGPT has made a lot of noise and helped many people automate their common tasks… ChatGPT can be used for a wide range of applications that require natural language processing, such as chatbots, customer service, language translation, content generation, and text completion. It can also be used for educational purposes, language learning, and research in various fields. ChatGPT’s ability to generate human-like responses makes it an effective tool for automating conversations and providing personalized user interactions. The portfolio of benefits is endless.

ChatGPT is available as a chatbot for everyone and as an API for developers. Making it possible to everyone to develop an application with ChatGPT API. Almost anything possible with natural language can be done with chatGPT API.

But for price, privacy or independence reasons, ChatGPT could not be the best solution for all the use cases. In that case, OpenGPT or an open-source alternative to chatGPT can be a great help. In this story, we will present what chatGPT can do and what OpenGPT we have as an alternative to chatGPT.

What you can do with ChatGPT

ChatGPT API is a powerful tool that enables developers and businesses to leverage the capabilities of GPT-3, a state-of-the-art language model created by OpenAI. GPT-3 can understand and generate natural language text, making it an invaluable resource for various applications.

Here are some of the things you can do with ChatGPT API:

Conversational AI: ChatGPT API can be used to create chatbots and virtual assistants that can understand and respond to natural language queries. With chatGPT’s advanced language processing capabilities, you can create chatbots that converse with users naturally and engagingly.

Content creation: ChatGPT can generate high-quality content, such as articles, blog posts, and social media updates. This can be useful for businesses that need to produce a large volume of content quickly or for individuals who want to create content without spending much time and effort.

Language translation: ChatGPT API can translate text from one language to another. This can be useful for businesses that operate in multiple countries or for individuals who need to communicate with people who speak different languages.

Text summarization: ChatGPT can summarize long documents or articles into shorter, more concise summaries. This can be useful for people who need to quickly understand the main points of a document without reading the entire thing.

Personalization: With ChatGPT API, you can create personalized experiences for your users based on their preferences and behaviour. For example, you can use ChatGPT to suggest products or services based on a user’s previous purchases or browsing history.

Voice assistants: ChatGPT can be used to create voice assistants that can understand and respond to natural language voice commands. This can be useful for businesses that want to create hands-free experiences for their customers or individuals who want to control their devices using voice commands.

One example of how easy you can build:

import os
import openai

openai.api_key = os.getenv("OPENAI_API_KEY")

response = openai.Completion.create(
  model="text-davinci-002",
  prompt="You: Hey Siri, can you help me with something?\nSiri: Sure, what do you need help with?\nYou: What's the weather like today?\nSiri:",
  temperature=0.7,
  max_tokens=100,
  top_p=1,
  frequency_penalty=0.0,
  presence_penalty=0.6,
  stop=["You:", "Siri:"]
)

print(response.choices[0].text.strip())

​

OpenGPT

So, what is OpenGPT? OpenGPT can be referred to as an open-source alternative to chatGPT but not only. It can be from the user’s perspective, the developer’s perspective or the business perspective. When it comes to openGPT, we have many different possibilities.

OpenGPT-X

The economic potential of large AI language models is huge, and the most successful models come from the USA and China. However, these models are often not fully available to the free market and are only applicable to English and Chinese languages. This has led to a pressing need to ensure European technology and data independence, innovation, and competitiveness.

To address this need, OpenGPT-X is building and training large-scale AI language models to drive innovative language application services for the European economy. The project aims to create a collaborative platform for science, business, and technology to develop products and processes with various language features, such as chatbots, digital assistants, and personalized media reports.

OpenGPT-X is working in collaboration with the open Gaia-X infrastructure, which will enable businesses to use and share data and services free of charge, in multiple languages, and according to the highest European data protection standards. The German Federal Ministry of Economics and Climate Protection (BMWK) funded the project from January 2022 to December 2024 as part of the funding program Innovative and Practical Applications and Data Spaces in the Gaia-X Digital Ecosystem.

Through OpenGPT-X and the Gaia-X infrastructure, Europe can achieve technology and data independence and promote innovation and competitiveness in language technology. Businesses will be able to develop and provide language-based services tailored to customers’ needs, thus creating new opportunities for growth and development. Ultimately, the project will benefit the European economy and help Europe to become a leader in the field of language technology.

OpenGPT-X is not open source but can help Europe close their technological gap with the big players in the market.

Other alternatives to ChatGPT (OpenGPT)

We still have multiple possible openGPT (chatGPT alternative). You can visit this article to have more alternatives to chatGPT. But here is a summary of those models:

LLama: Meta has released LLaMA, a state-of-the-art foundational large language model, to the public to advance research in the subfield of AI. The model is available in several sizes and enables researchers who lack access to large amounts of infrastructure to study these models. Training smaller foundation models, like LLaMA, requires less computing power and resources to test new approaches, validate others’ work, and explore new use cases. LLaMA is versatile and can be applied to many different use cases versus a fine-tuned model designed for a specific task. To maintain integrity and prevent misuse, the model is released under a non-commercial license focused on research use cases, and access is granted on a case-by-case basis. It can be considered as an OpenGPT or open-source alternative to chatGPT.

Open Assistant: Open Assistant is an open-source, chat-based assistant designed to put humans at the centre of its development. With a focus on collaboration and community, the team behind Open Assistant aims to create a minimal viable product (MVP) that can run on consumer hardware while being pragmatic. They create a smarter, more efficient future through constant validation and improvement. If you’re interested in joining the Open Assistant community, head to their website or Discord server to see how you can contribute to this exciting project. It can be considered as an OpenGPT or opensource alternative to chatGPT

GPT4All: GPT4All is an ecosystem of open-source on-edge large language models that allows users to train and deploy customized language models on consumer-grade CPUs. The models range from 3GB to 8GB in size and can be downloaded and used with the GPT4All open-source ecosystem software. The project is maintained by Nomic AI, which enforces quality and security standards and aims to make it easy for individuals and enterprises to create their own language models. GPT4All also offers a desktop chat client that allows users to run any model on their home computer.

We still have many alternatives to chatGPT that you find in this article here.