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Incorporate offline and online human – machine workflows into your generative AI applications on AWS

AWS Machine Learning - AI

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF).

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Cybersecurity Snapshot: Latest MITRE ATT&CK Update Offers Security Insights on GenAI, Identity, Cloud and CI/CD

Tenable

Check out what’s new in Version 15 of the MITRE ATT&CK knowledge base of adversary tactics, techniques and procedures. In addition, why AI cyberthreats aren’t impacting CISOs’ budgets. 1 - New version of MITRE ATT&CK adds guidance on generative AI, cloud threats Information about malicious use of generative AI tools.

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Best practices to build generative AI applications on AWS

AWS Machine Learning - AI

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning - AI

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Since then, Amazon Web Services (AWS) has introduced new services such as Amazon Bedrock.

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Announcing Cloudera’s Enterprise Artificial Intelligence Partnership Ecosystem

Cloudera

That’s why we’re building an ecosystem of technology providers to make it easier, more economical, and safer for our customers to maximize the value they get from AI. At our recent Evolve Conference in New York we were extremely excited to announce our founding AI ecosystem partners: Amazon Web Services (“AWS“), NVIDIA, and Pinecone.

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Deploy foundation models with Amazon SageMaker, iterate and monitor with TruEra

AWS Machine Learning - AI

This blog is co-written with Josh Reini, Shayak Sen and Anupam Datta from TruEra Amazon SageMaker JumpStart provides a variety of pretrained foundation models such as Llama-2 and Mistal 7B that can be quickly deployed to an endpoint. Vivek Gangasani is a AI/ML Startup Solutions Architect for Generative AI startups at AWS.

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Welcome to a New Era of Building in the Cloud with Generative AI on AWS

AWS Machine Learning - AI

We believe generative AI has the potential over time to transform virtually every customer experience we know. Innovative startups like Perplexity AI are going all in on AWS for generative AI. AWS innovates to offer the most advanced infrastructure for ML.