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8 Best AI-Based Text Generation Language Models

In this article, we will take a look at the best and most powerful AI-based text-to-text generation models available today. We will provide a brief description of each model, along with information about the founder company, main researchers and developers, license type, API availability, and best use cases.
Mohammed Wasim Akram
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Last Updated: December 19, 2022
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Artificial intelligence (AI) has made significant advancements in recent years, and one area where this is particularly evident is in the development of AI-Based Text Generation Language Models. These models use machine learning algorithms to generate human-like text based on a given input, making them useful for a wide range of applications.

In the field of natural language processing, AI-Based Text Generation Language Models can be used for tasks such as machine translation, chatbots, and summarization. These models have the potential to revolutionize how we communicate and interact with machines, making tasks faster and more efficient.

In this article, we will delve into the world of AI-Based Text Generation Language Models and take a look at some of the best and most powerful models available today.

We will provide a brief description of each model, along with information about the founder company, main researchers and developers, license type, API availability, and best use cases. By understanding the capabilities and limitations of these models, we can better utilize their powerful capabilities in a variety of industries.

GPT-3 (Generative Pre-training Transformer 3)

GPT-3 is a language generation model developed by OpenAI. It uses a deep learning technique known as transformers to generate human-like text based on a given input. GPT-3 is considered one of the most powerful language models available today, and it can be used for a wide range of applications, including language translation, summarization, and content creation.

  • Founder Company: OpenAI
  • Main Researchers & Developers: Alec Radford, Jeff Wu, Peter Chen, and others
  • License Type: Proprietary
  • API Availability: Available
  • Best Use Cases: Language Translation, Summarization, Content Creation

Jurassic-1

Jurassic-1 is a large and sophisticated language model developed by AI21 Labs, an AI company specializing in natural language processing (NLP). The model is capable of generating human-like text and solving complex tasks such as summarization, question answering, and text classification.

  • Founder Company: AI21 Labs
  • Main Researchers & Developers: Yoav Shoham, Ori Goshen, Amnon Shashua, Sebastian Thrun, Dan Jurafsky, Chris Ré, Dan Roth, Kevin Leyton-Brown, and Shai Shalev-Shwartz.
  • License Type: Proprietary
  • API Availability: Jurassic-1 is available via AI21 Studio, a developer platform in open beta. Developers can apply for access to custom models for production-scale use.
  • Best Use Cases: Text generation or processing, summarization or simplification of text, idea generation, copywriting, generating code, language translation, question answering, and generating text in a specific style or tone.

Jurassic-X

Jurassic-X is a natural language processing system developed by AI21 Labs, an AI company based in Tel Aviv, Israel. It combines the capabilities of a large language model, such as Jurassic-1, with external knowledge sources and symbolic reasoning experts. This allows the model to handle tasks beyond the reach of neural models, such as accessing company databases, performing math operations, and generating text on current affairs.

  • Founder Company: AI21 Labs
  • Main Researchers & Developers: Yoav Shoham, Ori Goshen, Amnon Shashua, Sebastian Thrun, Dan Jurafsky, Chris Ré, Dan Roth, Kevin Leyton-Brown, and Shai Shalev-Shwartz.
  • License Type: Proprietary
  • API Availability: Jurassic-X is available via AI21 Studio and is currently in open beta, meaning anyone can sign up and experiment with it.
  • Best Use Cases: Text generation or processing, as well as tasks that require access to external knowledge sources and symbolic reasoning, reading and updating databases in free language, generating text on current affairs, performing math operations, decomposing multi-step problems, accessing continuously changing information, and providing transparency and trust in AI-powered applications.

Cohere Generate

Cohere Generate is a natural language processing model that helps businesses improve human-machine interactions through text generation and prediction. It uses large language models trained on billions of words and is available as an API for integration into various libraries. Cohere Generate is useful for automating tasks, rewording text, summarizing text, and extracting specific data, and can also be customized for specialized industries or contexts. It helps businesses increase efficiency and productivity with NLP technology.

  • Founder Company: Cohere
  • Main Researchers & Developers: Aidan Gomez, Ivan Zhang, and Nick Frosst
  • License Type: Proprietary
  • API Availability: Cohere Generate is available as an API that can be integrated into various libraries using Python, Node, or Go software development kits (SDKs)
  • Best Use Cases: Cohere Generate can be used for tasks such as copywriting, named entity recognition, paraphrasing, and summarization. It can be particularly useful for automating time-consuming and repetitive copywriting tasks, re-wording text to suit a specific reader or context, condensing

BERT (Bidirectional Encoder Representations from Transformers)

BERT (Bidirectional Encoder Representations from Transformers) is a natural language processing model developed by Google. It is trained on large datasets of text and uses a transformer-based architecture to understand and generate human-like language. BERT is highly effective at tasks such as language translation, summarization, and sentiment analysis. It is available as an open-source model and can be accessed through an API for integration into various applications and libraries. BERT is used in a variety of industries to improve the efficiency and effectiveness of human-machine interactions through text generation and prediction.

  • Founder Company: Google
  • Main Researchers & Developers: Jacob Devlin, Ming-Wei Chang, and Kenton Lee.
  • License Type: Open Source
  • API Availability: Available
  • Best Use Cases: Language Translation, Summarization, Sentiment Analysis

Muse

Muse is a natural language processing (NLP) API developed by LightOn, a company based in Paris, France. It uses large language models to enable computers to better understand language and perform a variety of tasks related to text, such as generating text, understanding and evaluating the probability of different options for classification, and building rich representations of text for use in downstream tasks like semantic search and document clustering.

  • Founder Company: LightOn
  • Main Researchers & Developers: Florent Krzakala, Igor Carron, Laurent Daudet, and Sylvain Gigan.
  • License Type: Proprietary
  • API Availability: Muse API is publicly available and can be accessed through a subscription.
  • Best Use Cases: Automated customer support, content marketing, search engine optimization, review classification, and sentiment analysis. It can also be used to build innovative products and services or boost digital transformation through AI.

RoBERTa (Robustly Optimized BERT Pretraining Approach)

RoBERTa is a state-of-the-art natural language processing model developed by Meta AI Research. It is based on the BERT model and optimized for efficiency and accuracy on tasks including language translation, summarization, and sentiment analysis. RoBERTa excels at processing long sequences of text and has been trained on a diverse dataset, making it a versatile tool for natural language processing. It is open source and its API is available for use.

  • Founder Company: Meta AI Research (Formerly Facebook AI Research | FAIR)
  • Main Researchers & Developers: Yinhan Liu, Myle Ott, and Naman Goyal
  • License Type: Open Source
  • API Availability: Available
  • Best Use Cases: Language Translation, Summarization, Sentiment Analysis

Luminous

Luminous is a family of multi-lingual large language models developed by Aleph Alpha, a German artificial intelligence (AI) startup. Luminous models are capable of generating natural language in five different languages (English, German, French, Italian, Spanish) with state-of-the-art performance. The Luminous-Explore model is a specialized model developed by Aleph Alpha for generating high-quality, computationally efficient representations (embeddings) of text that are optimized for semantic similarity.

  • Founder Company: Aleph Alpha
  • Main Researchers & Developers: Jonas Andrulis and Samuel Weinbach
  • License Type: It is unclear from the provided information whether Luminous is open source or proprietary.
  • API Availability: Aleph Alpha offers an API for accessing the capabilities of Luminous models.
  • Best Use Cases: Luminous can be used for a variety of natural language processing (NLP) applications, including semantic search, clustering, exploration, classification, and feature extraction. It can also be used for developing conversational AI modules and knowledge worker applications.

Conclusion

AI-Based Text Generation Language Models offer a range of capabilities and can be utilized for a variety of applications in the field of natural language processing. From the powerful GPT-3 to the highly specialized Jurassic-X, these models have the potential to revolutionize how we communicate and interact with machines.

As AI continues to advance, it is likely that these models will become increasingly prevalent in our daily lives, making it even more important to understand their capabilities and limitations. By learning about the different models available and their best use cases, we can effectively utilize these powerful tools to improve efficiency and communication in a variety of industries.

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