Enhance your content material modifying with Contentful and Amazon Bedrock


This put up is co-written with Matt Middleton from Contentful.

At this time, collectively with Contentful, we’re asserting the launch of the AI Content Generator powered by Amazon Bedrock.

The AI Content material Generator powered by Amazon Bedrock is an app out there on the Contentful Market that permits customers to create, rewrite, summarize, and translate content material utilizing cutting-edge generative synthetic intelligence (AI) fashions out there and accessible by way of Amazon Bedrock in a easy and safe method. This app helps content material producers scale back their lead time to publishing content material whereas enhancing the standard and consistency of the content material produced.

Contentful is an clever composable content material platform that permits the creation and administration of content material to construct digital experiences. Contentful is an AWS buyer and companion.

Amazon Bedrock is a completely managed service that provides fast entry to a alternative of industry-leading giant language fashions and different basis fashions from AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, together with a broad set of capabilities to construct generative AI purposes, simplifying growth whereas supporting privateness and safety.

With this newly launched app, Contentful clients can benefit from the vary of fashions offered by Amazon Bedrock instantly from inside Contentful. They’ll choose the mannequin that most closely fits their desired language model, creativity, pace, and finances.

Use case

Contentful clients use the platform to scale content material throughout international experiences, manufacturers, and channels. A frequent activity a content material editor could have is to rewrite current content material to make it match for one more channel, for instance to make it match a smaller display by shortening it. It is a activity that the AI Content material Generator powered by Amazon Bedrock can now do robotically:

  1. First, open an current content material entry. The app is out there within the sidebar.AI Content Generator in the side bar
  2. If you select Rewrite, a dialog asks you to decide on the fields for enter and output, on this case Physique and Physique Brief, respectively.
  3. You’ll be able to describe the modifications that ought to be completed to the present content material; on this case, we select the pre-provided possibility Shorter.
  4. Select Generate to invoke Amazon Bedrock to carry out the specified modification.
    Content rewrite modal
  5. Lastly, you’ll be able to modify the generated textual content after which select Apply to use the textual content to the required output subject.Generated text

Getting began

To get began, it’s good to sign up for Contentful, which is free. Subsequent, set up the AI Content material Generator powered by Amazon Bedrock app by visiting the Contentful Marketplace and selecting Set up now.

The set up dialog asks you for an AWS Area the place you wish to use Amazon Bedrock, in addition to an AWS entry key ID and secret entry key for authentication. That will help you meet your group’s safety guidelines, we now have published an AWS CloudFormation template that creates an AWS Identity and Access Management (IAM) person with the minimal privileges you want for this app.

Utilizing generative AI at scale can change into costly. To assist forestall surprises in your AWS invoice, we now have published one other CloudFormation template that deploys a budgeting utility into your AWS account. You’re in a position to outline a delicate restrict, which invokes an e mail notification, and a tough restrict, which disables entry to Amazon Bedrock totally for the IAM person you created.

Throughout app set up, you’re in a position to present company-specific info comparable to branding tips, which can all the time be utilized when interacting with the app. On the finish of the set up dialog, be sure to assign the app to all content material varieties the place you might want it. This may allow the app within the sidebar of your content material modifying expertise.

Conclusion

With the AI Content material Generator powered by Amazon Bedrock, content material groups can unlock highly effective instruments to avoid wasting time, scale back suggestions loops, and enhance creativity. Contentful clients can use generative AI to generate content material on demand, rework content material to shift voice and tone, translate and localize content material for international markets, and even ensure that content material stays on model. Generative AI additionally performs a essential position in eliminating the “clean web page” drawback, the place a digital staff spends extra time determining the place to begin than truly creating nice content material.

Bringing Amazon Bedrock to Contentful signifies that digital groups can now use a spread of main giant language fashions to unlock their creativity, create extra effectively, and attain their clients in essentially the most impactful method.


Concerning the Authors

Ulrich Hinze is a Options Architect at AWS. He companions with software program firms to architect and implement cloud-based options on AWS. Earlier than becoming a member of AWS, he labored for AWS clients and companions in software program engineering, consulting, and structure roles for 8+ years.

Aris Tsakpinis is a Specialist Options Architect for AI & Machine Studying with a particular concentrate on pure language processing (NLP), giant language fashions (LLMs), and generative AI. In his free time he’s pursuing a PhD in ML Engineering at College of Regensburg, focussing on utilized NLP within the science area.

Matt Middleton is the Senior Product Accomplice Ecosystem Supervisor at Contentful. He runs the technique and operations of Contentful’s Know-how Accomplice Program. Matt’s background contains eCommerce, enterprise search, personalization, and advertising and marketing automation.

Leave a Reply

Your email address will not be published. Required fields are marked *