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The recipe for RAG: How cloud services enable generative AI outcomes across industries

IBM Journey to AI blog

Thankfully, retrieval-augmented generation (RAG) has emerged as a promising solution to ground large language models (LLMs) on the most accurate, up-to-date information. IBM unveiled its new AI and data platform, watsonx™, which offers RAG, back in May 2023.

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Manage access controls in generative AI-powered search applications using Amazon OpenSearch Service and Amazon Cognito

Flipboard

Organizations of all sizes and types are using generative AI to create products and solutions. Maintaining proper access controls for these sensitive assets is paramount, because unauthorized access could lead to severe consequences, such as data breaches, compliance violations, and reputational damage. Docker installed.

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How two software companies are using IBM watsonx for their enterprise generative AI solutions

IBM Journey to AI blog

In the year since we unveiled IBM’s enterprise generative AI (gen AI) and data platform, we’ve collaborated with numerous software companies to embed IBM watsonx™ into their apps, offerings and solutions. IBM’s established expertise and industry trust make it an ideal integration partner.”

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IBM watsonx Assistant transforms content into conversational answers with generative AI

IBM Journey to AI blog

Watsonx Assistant now offers conversational search, generating conversational answers grounded in enterprise-specific content to respond to customer and employee questions. As a result, the LLM is less likely to ‘hallucinate’ incorrect or misleading information.

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Generative AI that’s tailored for your business needs with watsonx.ai

IBM Journey to AI blog

According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it. These enhancements have been guided by IBM’s fundamental strategic considerations that AI should be open, trusted, targeted and empowering.

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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

Developing this data for AI usage is often overlooked — but it is one of the most powerful ways to build an AI moat. Snorkel GenFlow: For programmatic curation, annotation, and management of instruction datasets for generative AI use cases (e.g., summarization, chat, Q&A, etc.).

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Introducing Snorkel’s Foundation Model Data Platform

Snorkel AI

Developing this data for AI usage is often overlooked — but it is one of the most powerful ways to build an AI moat. Snorkel GenFlow: For programmatic curation, annotation, and management of instruction datasets for generative AI use cases (e.g., summarization, chat, Q&A, etc.).