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Tag: data quality

  • Cloud Blog: Google Cloud named a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools

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    Source URL: https://cloud.google.com/blog/products/data-analytics/a-leader-in-gartner-magic-quadrant-for-data-integration-tools/ Source: Cloud Blog Title: Google Cloud named a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools Feedly Summary: We’re excited to share that Gartner has recognized Google as a Leader in the 2024 Gartner® Magic Quadrant™ for Data Integration Tools. As a Leader in this report, we believe Google’s…

  • AWS News Blog: Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas

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    Source URL: https://aws.amazon.com/blogs/aws/use-amazon-q-developer-to-build-ml-models-in-amazon-sagemaker-canvas/ Source: AWS News Blog Title: Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas Feedly Summary: Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market. AI Summary and Description: Yes **Summary:** Amazon Q Developer, newly available…

  • Hacker News: We need data engineering benchmarks for LLMs

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    Source URL: https://structuredlabs.substack.com/p/why-we-need-data-engineering-benchmarks Source: Hacker News Title: We need data engineering benchmarks for LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the shortcomings of existing benchmarks for evaluating the effectiveness of AI-driven tools in data engineering, specifically contrasting them with software engineering benchmarks. It highlights the unique challenges of data…

  • Hacker News: Multimodal Interpretability in 2024

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    Source URL: https://www.soniajoseph.ai/multimodal-interpretability-in-2024/ Source: Hacker News Title: Multimodal Interpretability in 2024 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in multimodal interpretability within AI, highlighting a shift towards mechanistic and causal interpretability methods over traditional techniques. It emphasizes the integration of interpretability across language and vision models and outlines various…

  • Simon Willison’s Weblog: OK, I can partly explain the LLM chess weirdness now

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    Source URL: https://simonwillison.net/2024/Nov/21/llm-chess/#atom-everything Source: Simon Willison’s Weblog Title: OK, I can partly explain the LLM chess weirdness now Feedly Summary: OK, I can partly explain the LLM chess weirdness now Last week Dynomight published Something weird is happening with LLMs and chess pointing out that most LLMs are terrible chess players with the exception of…

  • Hacker News: OK, I can partly explain the LLM chess weirdness now

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    Source URL: https://dynomight.net/more-chess/ Source: Hacker News Title: OK, I can partly explain the LLM chess weirdness now Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text explores the unexpected performance of the GPT-3.5-turbo-instruct model in playing chess compared to other large language models (LLMs), primarily focusing on the effectiveness of prompting techniques, instruction…

  • CSA: A Vulnerability Management Crisis: The Issues with CVE

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    Source URL: https://cloudsecurityalliance.org/blog/2024/11/21/a-vulnerability-management-crisis-the-issues-with-cve Source: CSA Title: A Vulnerability Management Crisis: The Issues with CVE Feedly Summary: AI Summary and Description: Yes **Summary:** The text explores the limitations and challenges of the Common Vulnerabilities and Exposures (CVE) program, which has long been pivotal to the cybersecurity sector. It outlines issues such as data quality, submission complexities,…

  • The Register: Thousands of AI agents later, who even remembers what they do?

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    Source URL: https://www.theregister.com/2024/11/21/gartner_agentic_ai/ Source: The Register Title: Thousands of AI agents later, who even remembers what they do? Feedly Summary: Gartner weighs the pros and cons of the latest enterprise hotness Among the optimism and opportunities perceived around AI agents, Gartner has spotted some risks – namely that organizations might create “thousands of bots, but…

  • Slashdot: ‘Generative AI Is Still Just a Prediction Machine’

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    Source URL: https://tech.slashdot.org/story/24/11/20/1517200/generative-ai-is-still-just-a-prediction-machine?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ‘Generative AI Is Still Just a Prediction Machine’ Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the evolving role of AI tools as prediction engines, emphasizing the need for quality data and human oversight in their deployment. It draws attention to the inherent limitations of generative…

  • Hacker News: AI Progress Stalls as OpenAI, Google and Anthropic Hit Roadblocks

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    Source URL: https://www.nasdaq.com/articles/ai-progress-stalls-openai-google-and-anthropic-hit-roadblocks Source: Hacker News Title: AI Progress Stalls as OpenAI, Google and Anthropic Hit Roadblocks Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges faced by major AI companies such as OpenAI, Google, and Anthropic in their quest to develop more advanced AI models. It highlights setbacks related…