Tag: model evaluation
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AWS News Blog: Amazon Bedrock Marketplace: Access over 100 foundation models in one place
Source URL: https://aws.amazon.com/blogs/aws/amazon-bedrock-marketplace-access-over-100-foundation-models-in-one-place/ Source: AWS News Blog Title: Amazon Bedrock Marketplace: Access over 100 foundation models in one place Feedly Summary: Discover, test, and use over 100 emerging, and specialized foundation models with the tooling, security, and governance provided by Amazon Bedrock. AI Summary and Description: Yes **Summary:** The introduction of Amazon Bedrock Marketplace simplifies…
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AWS News Blog: New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock
Source URL: https://aws.amazon.com/blogs/aws/new-rag-evaluation-and-llm-as-a-judge-capabilities-in-amazon-bedrock/ Source: AWS News Blog Title: New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock Feedly Summary: Evaluate AI models and applications efficiently with Amazon Bedrock’s new LLM-as-a-judge capability for model evaluation and RAG evaluation for Knowledge Bases, offering a variety of quality and responsible AI metrics at scale. AI Summary and Description:…
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Hacker News: A statistical approach to model evaluations
Source URL: https://www.anthropic.com/research/statistical-approach-to-model-evals Source: Hacker News Title: A statistical approach to model evaluations Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a new research paper that proposes statistical recommendations for the reporting of AI model evaluation results, focused on improving the rigor and reliability of assessments in AI research. It highlights…
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Hacker News: Visual inference exploration and experimentation playground
Source URL: https://github.com/devidw/inferit Source: Hacker News Title: Visual inference exploration and experimentation playground Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces “inferit,” a tool designed for large language model (LLM) inference that enables users to visually compare outputs from various models, prompts, and settings. It stands out by allowing unlimited side-by-side…
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Hacker News: PiML: Python Interpretable Machine Learning Toolbox
Source URL: https://github.com/SelfExplainML/PiML-Toolbox Source: Hacker News Title: PiML: Python Interpretable Machine Learning Toolbox Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces PiML, a new Python toolbox designed for interpretable machine learning, offering a mix of low-code and high-code APIs. It focuses on model transparency, diagnostics, and various metrics for model evaluation,…
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Cloud Blog: Adapting model risk management for financial institutions in the generative AI era
Source URL: https://cloud.google.com/blog/topics/financial-services/adapting-model-risk-management-in-the-gen-ai-era/ Source: Cloud Blog Title: Adapting model risk management for financial institutions in the generative AI era Feedly Summary: Generative AI (gen AI) promises to usher in an era of transformation for quality, accessibility, efficiency, and compliance in the financial services industry. As with any new technology, it also introduces new complexities and…
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METR Blog – METR: METR – Comment on NIST AI 800-1 (Managing Misuse Risk for Dual-Use Foundation Models)
Source URL: https://downloads.regulations.gov/NIST-2024-0002-0022/attachment_1.pdf Source: METR Blog – METR Title: METR – Comment on NIST AI 800-1 (Managing Misuse Risk for Dual-Use Foundation Models) Feedly Summary: AI Summary and Description: Yes Summary: The text provides insights into the National Institute of Standards and Technology’s (NIST) document on managing misuse risk for dual-use AI foundation models. It…
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AWS News Blog: AWS Weekly Roundup: Agentic workflows, Amazon Transcribe, AWS Lambda insights, and more (October 21, 2024)
Source URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-agentic-workflows-amazon-transcribe-aws-lambda-insights-and-more-october-21-2024/ Source: AWS News Blog Title: AWS Weekly Roundup: Agentic workflows, Amazon Transcribe, AWS Lambda insights, and more (October 21, 2024) Feedly Summary: Agentic workflows are quickly becoming a cornerstone of AI innovation, enabling intelligent systems to autonomously handle and refine complex tasks in a way that mirrors human problem-solving. Last week, we…
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Hacker News: Taming randomness in ML models with hypothesis testing and marimo
Source URL: https://blog.mozilla.ai/taming-randomness-in-ml-models-with-hypothesis-testing-and-marimo/ Source: Hacker News Title: Taming randomness in ML models with hypothesis testing and marimo Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the variability inherent in machine learning models due to randomness, emphasizing the complexities tied to model evaluation in both academic and industry contexts. It introduces hypothesis…