17 Mar 2023
Hugging Face and ServiceNow: A Powerful Partnership for Natural Language Processing
Natural language processing (NLP) is a branch of artificial intelligence that deals with understanding and generating natural language texts and speech. NLP has many applications in various domains, such as customer service, sentiment analysis, chatbots, document summarization, machine translation, and more.
However, building and deploying NLP models can be challenging, especially for enterprises that need to scale up their solutions and integrate them with existing workflows and systems. That's why Hugging Face and ServiceNow have teamed up to offer a seamless and robust solution for enterprise NLP.
Hugging Face is a leading provider of open-source NLP software and models, with over 10,000 pre-trained models in more than 100 languages. Hugging Face's Transformers library is the most popular framework for building state-of-the-art NLP models, such as BERT, GPT-3, T5, and many others.
ServiceNow is a cloud-based platform that enables digital workflows for enterprise operations. ServiceNow's Now Platform allows users to create custom applications and automate business processes across various domains, such as IT, HR, customer service, security, and more.
Hugging Face & ServiceNow Partnership
Together, Hugging Face and ServiceNow offer a powerful and easy-to-use solution for enterprise NLP. Users can leverage Hugging Face's pre-trained models or fine-tune them on their own data using ServiceNow's data management and integration capabilities. Users can also deploy and monitor their NLP models on ServiceNow's cloud platform, which provides high availability, scalability, security, and compliance.
With Hugging Face and ServiceNow, enterprises can benefit from the latest advances in NLP and deliver better experiences for their customers and employees.
Some of the use cases that can be enabled by this partnership are:
Customer service: Users can create chatbots that can handle common queries and requests from customers using natural language. Users can also use sentiment analysis to measure customer satisfaction and feedback.
Document processing: Users can extract information from documents such as invoices, contracts, resumes, etc. using named entity recognition, text classification, or question answering models. Users can also generate summaries or translations of documents using text generation or machine translation models.
Knowledge management: Users can create knowledge bases that can store and retrieve information using natural language. Users can also use text similarity or semantic search models to find relevant documents or articles based on a query or a topic.
These are just some of the examples of how Hugging Face and ServiceNow can empower enterprises to harness the power of NLP.
To learn more about this partnership and how to get started, visit https://www.huggingface.co/servicenow.
Hugging Face and ServiceNow release a free code-generating model
The two companies have teamed up to release a free code-generating model that can help you create high-quality code from natural language descriptions.
ServiceNow, a leading provider of cloud-based workflow solutions, has integrated Codex into its platform, allowing developers to use natural language queries to generate code snippets for their applications. For example, you can ask Codex to "create a function that returns the sum of two numbers" or "connect to a database and query for all users". Codex will then generate the corresponding code in your preferred language and insert it into your editor.
The code-generating model is available for free for anyone who wants to try it out. You can access it through ServiceNow's developer portal or Hugging Face's website. You can also provide feedback and suggestions to improve the model and make it more useful for your needs.
Hugging Face and ServiceNow hope that their collaboration will inspire more developers to use natural language processing and artificial intelligence to enhance their coding skills and productivity. They also hope that their model will lower the barrier to entry for coding and make it more accessible and fun for everyone.
Disclaimer : Article contains company names, images, product names, and logos may be trademarks of the respective companies with which they are associated and they are not owned by SAASWITHSERVICENOW.