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Autonomous Agents with AgentOps: Observability, Traceability, and Beyond for your AI Application

Unite.AI

This is where AgentOps comes in; a concept modeled after DevOps and MLOps but tailored for managing the lifecycle of FM-based agents. That said, AgentOps (the tool) offers developers insight into agent workflows with features like session replays, LLM cost tracking, and compliance monitoring. What is AgentOps?

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

AWS Machine Learning Blog

The use of multiple external cloud providers complicated DevOps, support, and budgeting. With this LLM, CreditAI was now able to respond better to broader, industry-wide queries than before. This includes file type verification, size validation, and metadata extraction before routing to Amazon Textract.

DevOps 91
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Patterns in the Noise: Visualizing the Hidden Structures of Unstructured Documents

ODSC - Open Data Science

Each text, including the rotated text on the left of the page, is identified and extracted as a stand-alone text element with coordinates and other metadata that makes it possible to render a document very close to the original PDF but from a structured JSONformat.

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Fine tune a generative AI application for Amazon Bedrock using Amazon SageMaker Pipeline decorators

AWS Machine Learning Blog

It automatically keeps track of model artifacts, hyperparameters, and metadata, helping you to reproduce and audit model versions. As you move from pilot and test phases to deploying generative AI models at scale, you will need to apply DevOps practices to ML workloads. We use Python to do this.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning Blog

To scale ground truth generation and curation, you can apply a risk-based approach in conjunction with a prompt-based strategy using LLMs. Its important to note that LLM-generated ground truth isnt a substitute for use case SME involvement. To convert the source document excerpt into ground truth, we provide a base LLM prompt template.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Can you compare images?

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning Blog

Furthermore, we deep dive on the most common generative AI use case of text-to-text applications and LLM operations (LLMOps), a subset of FMOps. LLM-powered evaluation – In this scenario, the prompt testers are replaced by an LLM, ideally one that is more powerful (although perhaps slower and most costly) than the ones being tested.