Build and scale Generative AI applications with Amazon Bedrock

The opportunity is unprecedented in history. A Bloomberg Intelligence study estimates that by 2032, generative artificial intelligence (AI) will be a $1.3 trillion business. Companies that manage to quickly and efficiently capture the value of this disruptive technology have a high probability of growing and leading in the future. And Amazon Bedrock is there to help them along the way.

This service managed by Amazon, Nubiral’s business partner, makes available to organizations a variety of foundational models (FM) of the main AI startups. It does this through an API. An FM is a very large machine learning model trained on a huge amount of data.

Benefits of using Amazon Bedrock

The benefits for organizations that choose Amazon Bedrock to accelerate their generative AI initiatives are multiple. Below, we will focus on some of the most important ones.

Choice of foundational models

Generative AI is powered by FMs. Trained on massive, unlabeled datasets, they are deep learning neural networks. They are large in size, of enormous complexity, and were developed over a decade of work and research.

They are also adaptive. This means that they can perform a wide range of diverse tasks with a high degree of accuracy. Among other things, they are able to understand natural language instructions, generate text or images, or even carry on a conversation.

Most importantly, and where Amazon Bedrock takes the lead: they can be used as a building block for developing more specialized downstream applications. It is faster and cheaper to use pre-trained FMs than to train unique models from scratch.

In that sense, Amazon Bedrock offers easy access to numerous high-performance FMs from leading AI companies. These include AI21 Labs, Anthropic, Cohere, Meta, Stability AI and Amazon itself.

Easy model customization

Selecting the right FM is just the beginning. The next step is to customize it. That is, fine-tuning the FM using own labeled datasets. To achieve this, it only takes a few clicks.

It is important to emphasize data security and privacy in these cases. Thanks to accurate settings and continuous pre-training, Amazon Bedrock creates an independent copy of the base FM. This means that only the organization can access it and that this data is not used to train any other base model.

API querying dynamically

Models are accessed through Amazon Bedrock’s unique API.

So, beyond the model chosen, the organization gets the flexibility to use different FMs. Also, to upgrade to the latest versions with minimal code changes.

Moreover, Amazon Bedrock agents schedule and execute tasks from enterprise systems and data sources. They can be created with a few clicks.

Each agent analyzes a user’s request and automatically calls the APIs and data sources needed to resolve it. All securely and privately, without the need to design prompts or manually organize tasks.

Native support for RAG

The goal is always for the model to deliver relevant, accurate answers that meet the needs of the organization.

To achieve this, the FM needs up-to-date, confidential information, which it gets thanks to RAG (Retrieval Augmented Generation).

This technique consists of obtaining data from the company’s data sources and enriching the message with it to improve responses and avoid hallucinations and inaccuracies.

Amazon Bedrock knowledge bases automate the end-to-end RAG workflow. No code needs to be written to integrate data sources or manage queries.

Compliance and data security certifications

One of the great advantages of Amazon Bedrock lies in its security qualities:

• Full control over the data used to personalize models: Content is encrypted both in transit and at rest.
• Privacy: The organization’s data is not shared with model providers. Nor are they used to improve the base models.
• Compliance: Compliant with ISO, SOC and CSA STAR level 2 standards, as well as HIPAA and GDPR requirements.
• Governance: Provides comprehensive monitoring and logging capabilities to support governance or auditing initiatives.
• Ethics: Implements automated mechanisms for technology malpractices detection.

Conclusions

Amazon Bedrock is a key ally for companies that need to create and scale generative AI applications. Such as those explored, analyzed and proposed by Nubiral’s specialized Center of Excellence (CoE).

It allows you to leverage the power of FMs and adapt them to the specific needs and use cases of each organization. All in a simple, secure and efficient way.

Generative AI is an opportunity that is unprecedented in history. And Amazon Bedrock is the key to start capitalizing on it.

Interested in getting ahead of your competition and starting to explore the power of generative AI? Our experts are waiting for your contact: Schedule your meeting!

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Blog • Amazon Bedrock: Innovation taken to the extreme

eBook • GenAI Services: A land of opportunity for organizations