Tag: text generation

  • Simon Willison’s Weblog: Dummy’s Guide to Modern LLM Sampling

    Source URL: https://simonwillison.net/2025/May/4/llm-sampling/#atom-everything Source: Simon Willison’s Weblog Title: Dummy’s Guide to Modern LLM Sampling Feedly Summary: Dummy’s Guide to Modern LLM Sampling This is an extremely useful, detailed set of explanations by @AlpinDale covering the various different sampling strategies used by modern LLMs. LLMs return a set of next-token probabilities for every token in their…

  • Cloud Blog: What’s new with BigQuery AI and ML?

    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-adds-new-ai-capabilities/ Source: Cloud Blog Title: What’s new with BigQuery AI and ML? Feedly Summary: At Next ’25, we introduced several new innovations within BigQuery, the autonomous data to AI platform. BigQuery ML provides a full range of AI and ML capabilities, enabling you to easily build generative AI and predictive ML applications with…

  • Slashdot: Google AI Fabricates Explanations For Nonexistent Idioms

    Source URL: https://tech.slashdot.org/story/25/04/24/1853256/google-ai-fabricates-explanations-for-nonexistent-idioms?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google AI Fabricates Explanations For Nonexistent Idioms Feedly Summary: AI Summary and Description: Yes Summary: The text discusses flaws in large language models (LLMs) as demonstrated by Google’s search AI generating plausible explanations for nonexistent idioms. This highlights the risks associated with AI-generated content and the tendency of LLMs…

  • Docker: Dockerizing MCP – Bringing Discovery, Simplicity, and Trust to the Ecosystem

    Source URL: https://www.docker.com/blog/introducing-docker-mcp-catalog-and-toolkit/ Source: Docker Title: Dockerizing MCP – Bringing Discovery, Simplicity, and Trust to the Ecosystem Feedly Summary: Discover the Docker MCP Catalog and Toolkit, a new way to source, use, and scale with MCP tools. AI Summary and Description: Yes **Summary:** The text discusses the emergence of the Model Context Protocol (MCP) for…

  • Hacker News: Llama.cpp AI Performance with the GeForce RTX 5090 Review

    Source URL: https://www.phoronix.com/review/nvidia-rtx5090-llama-cpp Source: Hacker News Title: Llama.cpp AI Performance with the GeForce RTX 5090 Review Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses initial performance benchmarks of NVIDIA’s GeForce RTX 5090 graphics card specifically in relation to AI performance using the Llama.cpp framework. This relevance to AI performance makes it…

  • Slashdot: Inception Emerges From Stealth With a New Type of AI Model

    Source URL: https://slashdot.org/story/25/02/26/2257224/inception-emerges-from-stealth-with-a-new-type-of-ai-model?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Inception Emerges From Stealth With a New Type of AI Model Feedly Summary: AI Summary and Description: Yes Summary: Inception, a startup led by Stanford professor Stefano Ermon, has developed a highly efficient diffusion-based large language model (DLM) that surpasses traditional models in both speed and cost-effectiveness. By enabling…

  • Cloud Blog: BigQuery ML is now compatible with open-source gen AI models

    Source URL: https://cloud.google.com/blog/products/data-analytics/run-open-source-llms-on-bigquery-ml/ Source: Cloud Blog Title: BigQuery ML is now compatible with open-source gen AI models Feedly Summary: BigQuery Machine Learning allows you to use large language models (LLMs), like Gemini, to perform tasks such as entity extraction, sentiment analysis, translation, text generation, and more on your data using familiar SQL syntax. Today, we…

  • Hacker News: Why LLMs still suck at OCR

    Source URL: https://www.runpulse.com/blog/why-llms-suck-at-ocr Source: Hacker News Title: Why LLMs still suck at OCR Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the challenges faced when using Large Language Models (LLMs) for tasks like Optical Character Recognition (OCR) and complex data extraction, emphasizing their limitations in processing intricate document layouts and the…