Tag: model outputs

  • The Register: Research reimagines LLMs as tireless tools of torture

    Source URL: https://www.theregister.com/2025/05/21/llm_torture_tools/ Source: The Register Title: Research reimagines LLMs as tireless tools of torture Feedly Summary: No need for thumbscrews when your chatbot never lets up Large language models (LLMs) are not just about assistance and hallucinations. The technology has a darker side.… AI Summary and Description: Yes Short Summary with Insight: The text…

  • AWS News Blog: AWS Weekly Roundup: Amazon Bedrock, Amazon QuickSight, AWS Amplify, and more (March 31, 2025)

    Source URL: https://aws.amazon.com/blogs/aws/aws-weekly-roundup-amazon-bedrock-amazon-quicksight-aws-amplify-and-more-march-31-2025/ Source: AWS News Blog Title: AWS Weekly Roundup: Amazon Bedrock, Amazon QuickSight, AWS Amplify, and more (March 31, 2025) Feedly Summary: It’s AWS Summit season! Free events are now rolling out worldwide, bringing our cloud computing community together to connect, collaborate, and learn. Whether you prefer joining us online or in-person, these…

  • Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data

    Source URL: https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data Source: Hacker News Title: Tao: Using test-time compute to train efficient LLMs without labeled data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new model tuning method for large language models (LLMs) called Test-time Adaptive Optimization (TAO) that enhances model quality without requiring large amounts of labeled…

  • Hacker News: Gemma3 Function Calling

    Source URL: https://ai.google.dev/gemma/docs/capabilities/function-calling Source: Hacker News Title: Gemma3 Function Calling Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses function calling with a generative AI model named Gemma, including its structure, usage, and recommendations for code execution. This information is critical for professionals working with AI systems, particularly in understanding how…

  • Slashdot: OpenAI’s o1-pro is the Company’s Most Expensive AI Model Yet

    Source URL: https://slashdot.org/story/25/03/20/0227246/openais-o1-pro-is-the-companys-most-expensive-ai-model-yet?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: OpenAI’s o1-pro is the Company’s Most Expensive AI Model Yet Feedly Summary: AI Summary and Description: Yes Summary: OpenAI has recently introduced the o1-pro AI model, an enhanced version of their reasoning model, which is currently accessible to select developers at a significantly higher cost than previous models. This…

  • Simon Willison’s Weblog: What’s new in the world of LLMs, for NICAR 2025

    Source URL: https://simonwillison.net/2025/Mar/8/nicar-llms/ Source: Simon Willison’s Weblog Title: What’s new in the world of LLMs, for NICAR 2025 Feedly Summary: I presented two sessions at the NICAR 2025 data journalism conference this year. The first was this one based on my review of LLMs in 2024, extended by several months to cover everything that’s happened…

  • Simon Willison’s Weblog: State-of-the-art text embedding via the Gemini API

    Source URL: https://simonwillison.net/2025/Mar/7/gemini-embeddings/#atom-everything Source: Simon Willison’s Weblog Title: State-of-the-art text embedding via the Gemini API Feedly Summary: State-of-the-art text embedding via the Gemini API Gemini just released their new text embedding model, with the snappy name gemini-embedding-exp-03-07. It supports 8,000 input tokens – up from 3,000 – and outputs vectors that are a lot larger…