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Unbundling the Graph in GraphRAG

O'Reilly Media

What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s. For example, a mention of “NLP” might refer to natural language processing in one context or neural linguistic programming in another.

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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

Solution overview The following figure illustrates our system architecture for CreditAI on AWS, with two key paths: the document ingestion and content extraction workflow, and the Q&A workflow for live user query response. He specializes in generative AI, machine learning, and system design.

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Automating product description generation with Amazon Bedrock

AWS Machine Learning Blog

The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. Amazon Bedrock: NLP text generation – Amazon Bedrock uses the Amazon Titan natural language processing (NLP) model to generate textual descriptions.

AWS 106
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A Guide to LLMOps: Large Language Model Operations

Heartbeat

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). Deployment : The adapted LLM is integrated into this stage's planned application or system architecture.

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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning Blog

He is focusing on system architecture, application platforms, and modernization for the cabinet. Rajiv Sharma is a Domain Lead – Contact Center in the AWS Data and Machine Learning team. The contact center is powered by Amazon Connect, and Max, the virtual agent, is powered by Amazon Lex and the AWS QnABot solution.

AWS 84
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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

Amazon Rekognition Content Moderation , a capability of Amazon Rekognition , automates and streamlines image and video moderation workflows without requiring machine learning (ML) experience. In this section, we briefly introduce the system architecture. For more detailed information, refer to the GitHub repo.

AWS 101
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How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Flipboard

Considering the nature of the time series dataset, Q4 also realized that it would have to continuously perform incremental pre-training as new data came in. This would have required a dedicated cross-disciplinary team with expertise in data science, machine learning, and domain knowledge.

SQL 168