Accelerate custom labeling workflows in Amazon SageMaker Ground Truth without using AWS Lambda

Favorite Amazon SageMaker Ground Truth enables the creation of high-quality, large-scale training datasets, essential for fine-tuning across a wide range of applications, including large language models (LLMs) and generative AI. By integrating human annotators with machine learning, SageMaker Ground Truth significantly reduces the cost and time required for data labeling.

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Shared by AWS Machine Learning October 31, 2024

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

Favorite AWS offers powerful generative AI services, including Amazon Bedrock, which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. Many businesses want to integrate these cutting-edge AI capabilities with their existing collaboration

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Shared by AWS Machine Learning October 31, 2024

Create and fine-tune sentence transformers for enhanced classification accuracy

Favorite Sentence transformers are powerful deep learning models that convert sentences into high-quality, fixed-length embeddings, capturing their semantic meaning. These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval. In this post, we showcase how to fine-tune a sentence

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Shared by AWS Machine Learning October 30, 2024

Unlock organizational wisdom using voice-driven knowledge capture with Amazon Transcribe and Amazon Bedrock

Favorite Preserving and taking advantage of institutional knowledge is critical for organizational success and adaptability. This collective wisdom, comprising insights and experiences accumulated by employees over time, often exists as tacit knowledge passed down informally. Formalizing and documenting this invaluable resource can help organizations maintain institutional memory, drive innovation, enhance

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Shared by AWS Machine Learning October 30, 2024