Tag: data quality

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…

  • Hacker News: Narrow finetuning can produce broadly misaligned LLM [pdf]

    Source URL: https://martins1612.github.io/emergent_misalignment_betley.pdf Source: Hacker News Title: Narrow finetuning can produce broadly misaligned LLM [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The document presents findings on the phenomenon of “emergent misalignment” in large language models (LLMs) like GPT-4o when finetuned on specific narrow tasks, particularly the creation of insecure code. The results…

  • Hacker News: SWE-Bench tainted by answer leakage; real pass rates significantly lower

    Source URL: https://arxiv.org/abs/2410.06992 Source: Hacker News Title: SWE-Bench tainted by answer leakage; real pass rates significantly lower Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper “SWE-Bench+: Enhanced Coding Benchmark for LLMs” addresses significant data quality issues in the evaluation of Large Language Models (LLMs) for coding tasks. It presents empirical analysis revealing…

  • Cloud Blog: How to use gen AI for better data schema handling, data quality, and data generation

    Source URL: https://cloud.google.com/blog/products/data-analytics/how-gemini-in-bigquery-helps-with-data-engineering-tasks/ Source: Cloud Blog Title: How to use gen AI for better data schema handling, data quality, and data generation Feedly Summary: In the realm of data engineering, generative AI models are quietly revolutionizing how we handle, process, and ultimately utilize data. For example, large language models (LLMs) can help with data schema…

  • Anton on Security – Medium: Cross-post: Office of the CISO 2024 Year in Review: AI Trust and Security

    Source URL: https://medium.com/anton-on-security/cross-post-office-of-the-ciso-2024-year-in-review-ai-trust-and-security-e73af11fb374?source=rss—-8e8c3ed26c4c—4 Source: Anton on Security – Medium Title: Cross-post: Office of the CISO 2024 Year in Review: AI Trust and Security Feedly Summary: AI Summary and Description: Yes Summary: The text provides a comprehensive overview of Google’s insights and resources regarding the secure implementation of generative AI in 2024. It covers critical security…

  • Hacker News: Lessons from building a small-scale AI application

    Source URL: https://www.thelis.org/blog/lessons-from-ai Source: Hacker News Title: Lessons from building a small-scale AI application Feedly Summary: Comments AI Summary and Description: Yes Summary: The text encapsulates critical lessons learned from constructing a small-scale AI application, emphasizing the differences between traditional programming and AI development, alongside the intricacies of managing data quality, training pipelines, and system…