Experimental News Clipping Site

Tag: Semantic

  • Hacker News: Evaluating Code Embedding Models

    —

    by

    Kurt Seifried
    in

    Source URL: https://blog.voyageai.com/2024/12/04/code-retrieval-eval/ Source: Hacker News Title: Evaluating Code Embedding Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges and limitations within the field of code retrieval, particularly as it pertains to embedding models used in coding assistants. It highlights the need for high-quality benchmarking datasets, identifies typical subtasks…

  • Hacker News: Show HN: Klarity – Open-source tool to analyze uncertainty/entropy in LLM output

    —

    by

    Kurt Seifried
    in

    Source URL: https://github.com/klara-research/klarity Source: Hacker News Title: Show HN: Klarity – Open-source tool to analyze uncertainty/entropy in LLM output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Klarity is a robust tool designed for analyzing uncertainty in generative model predictions. By leveraging both raw probability and semantic comprehension, it provides unique insights into model…

  • Cloud Blog: Announcing the general availability of Spanner Graph

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/spanner-graph-is-now-ga/ Source: Cloud Blog Title: Announcing the general availability of Spanner Graph Feedly Summary: In today’s complex digital world, building truly intelligent applications requires more than just raw data — you need to understand the intricate relationships within that data. Graph analysis helps reveal these hidden connections, and when combined with techniques like…

  • Cloud Blog: ScatterBrain: Unmasking the Shadow of PoisonPlug’s Obfuscator

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/threat-intelligence/scatterbrain-unmasking-poisonplug-obfuscator/ Source: Cloud Blog Title: ScatterBrain: Unmasking the Shadow of PoisonPlug’s Obfuscator Feedly Summary: Written by: Nino Isakovic Introduction Since 2022, Google Threat Intelligence Group (GTIG) has been tracking multiple cyber espionage operations conducted by China-nexus actors utilizing POISONPLUG.SHADOW. These operations employ a custom obfuscating compiler that we refer to as “ScatterBrain," facilitating…

  • Hacker News: So you wanna write Kubernetes controllers?

    —

    by

    Kurt Seifried
    in

    Source URL: https://ahmet.im/blog/controller-pitfalls/ Source: Hacker News Title: So you wanna write Kubernetes controllers? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides detailed insights into the development of Kubernetes custom controllers, emphasizing best practices and common pitfalls. For security and compliance professionals in the cloud and infrastructure sectors, understanding these practices is…

  • Hacker News: Every System is a Log: Avoiding coordination in distributed applications

    —

    by

    Kurt Seifried
    in

    Source URL: https://restate.dev/blog/every-system-is-a-log-avoiding-coordination-in-distributed-applications/ Source: Hacker News Title: Every System is a Log: Avoiding coordination in distributed applications Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the complexities of building resilient distributed applications, particularly focusing on the orchestration of logs in the context of ensuring correctness while avoiding distributed coordination. The article…

  • Hacker News: Cosine Similarity Isn’t the Silver Bullet We Thought It Was

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.shaped.ai/blog/cosine-similarity-not-the-silver-bullet-we-thought-it-was Source: Hacker News Title: Cosine Similarity Isn’t the Silver Bullet We Thought It Was Feedly Summary: Comments AI Summary and Description: Yes Summary: The study from Netflix and Cornell University critically examines the use of cosine similarity in measuring the similarity of embeddings, revealing potential flaws and arbitrary results that could mislead…

  • Chip Huyen: Common pitfalls when building generative AI applications

    —

    by

    Kurt Seifried
    in

    Source URL: https://huyenchip.com//2025/01/16/ai-engineering-pitfalls.html Source: Chip Huyen Title: Common pitfalls when building generative AI applications Feedly Summary: As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. This is a quick note with examples of some of the most common pitfalls that I’ve seen, both from public case…

  • Hacker News: Don’t use cosine similarity carelessly

    —

    by

    Kurt Seifried
    in

    Source URL: https://p.migdal.pl/blog/2025/01/dont-use-cosine-similarity/ Source: Hacker News Title: Don’t use cosine similarity carelessly Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the complexities and limitations of using cosine similarity in AI, particularly in the context of vector embeddings derived from language models. It critiques the blind application of cosine similarity to assess…

  • Cloud Blog: Unlock multimodal search at scale: Combine text & image power with Vertex AI

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/combine-text-image-power-with-vertex-ai/ Source: Cloud Blog Title: Unlock multimodal search at scale: Combine text & image power with Vertex AI Feedly Summary: The way users search is evolving. When searching for a product, users might type in natural-sounding language or search with images. In return, they want tailored results that are specific to their query.…