The rise of GPT-3 as a groundbreaking technology garnered significant attention when OpenAI introduced ChatGPT in November. If you’re curious about GPT-3 and its alternatives, we’ve got you covered. In this article, we’ll delve into the top opecustom basketball jersey nfl custom jersey sex toys for sale new nike air max 2023 custom basketball jersey cheap nike air max couples sex toys best sex toys nfl fantasy football best sex toy for women nfl store shop nfl football jerseys best sex toy for men custom jersey n-source analogs of this buzz-worthy technology that you can use for free.

What is GPT-3?

Generative Pretrained Transformer (GPT-3) is an artificial intelligence model capable of producing human-like content on any topic. From poetry and emails to coding and translations, GPT-3 can generate a wide range of text with just a small prompt. This large language model (LLM) has over 175 billion parameters and has been trained on a massive dataset of approximately 700 GB from across the internet.

Discovering ChatGPT

ChatGPT, built on GPT-3 technology, is a chatbot capable of answering questions and imitating a dialogue. Some even believe it has the potential to compete with Google in the future. But let’s focus on exploring free alternatives to GPT-3.

Top 9 Free GPT-3 Alternative AI Models

  1. OPT by Meta

OPT is an open-source alternative to GPT-3 by Meta. With 175 billion parameters, OPT was trained on multiple public datasets, including The Pile and BookCorpus. It combines both pre-trained models and source code for usage and training, currently available for research purposes only.

Also, read Best AI Tools to Elevate Your Business Performance in 2023


  1. AlexaTM by Amazon

AlexaTM 20B is Amazon’s large-scale multilingual sequence2sequence model. Trained on causal-language-modeling (CLM) and denoising tasks, AlexaTM excels in 1-shot summarization and machine translation tasks.

  1. GPT-J and GPT-NeoX by EleutherAI

GPT-J is a free 6B-parameter autoregressive model for text generation, performing nearly as well as GPT-3 6.7B-param. GPT-NeoX, with 20B parameters, also showcases comparable performance to paid GPT-3 models.

  1. Jurassic-1 Language Model by AI21 Labs

Jurassic-1 is an autoregressive NLP model in open beta. While not fully open-source, registration grants free $90 credits for usage in the playground, along with the ability to create and train custom models.

  1. CodeGen by Salesforce

CodeGen is an open-source, large-scale language model for writing programs based on plain textual prompts. It uses conversational AI to combine human creativity with AI coding capabilities.

  1. Megatron-Turing NLG by NVIDIA and Microsoft

Megatron-Turing NLG boasts over 530 billion parameters and excels in PiQA dev set tasks and LAMBADA test set tasks. Early access is available for research purposes.

  1. LaMDA by Google LaMDA is an autoregressive language model for dialog applications, with a decoder-only architecture. It can handle long-term dependencies and support domain grounding.
  2. BLOOM Developed through the BigScience Workshop, BLOOM is an open-source alternative with 176 billion parameters, capable of processing 46 languages and 13 programming languages.
  3. BERT by Google Bidirectional Encoder Representations from Transformers (BERT) is one of the oldest transformer language models, supporting question-answer systems and other NLP tasks.

Bonus: 3 Additional GPT-3 Alternative Models Worth Attention

  • GLaM by Google: A large mixture-of-experts model showing promising results in various NLP tasks.
  • Wu Dao 2.0: A multimodal and multitasking deep learning model with 1.75 trillion parameters, offering text and image processing capabilities.
  • Chinchilla by DeepMind: A compute-optimal language model trained on 1.4 trillion tokens, showcasing impressive performance on NLP benchmarks.

Embracing Responsible AI Usage

While exploring these AI models, we emphasize responsible AI usage to prevent misuse or manipulation. Harnessing the potential of artificial intelligence can accelerate business growth, enrich customer experiences, and boost revenue. Whether it’s natural language processing, chatbots, or predictive maintenance, AI can be a powerful ally when wielded responsibly.