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Tag: accuracy

  • Simon Willison’s Weblog: Building a SNAP LLM eval: part 1

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/12/building-a-snap-llm/#atom-everything Source: Simon Willison’s Weblog Title: Building a SNAP LLM eval: part 1 Feedly Summary: Building a SNAP LLM eval: part 1 Dave Guarino (previously) has been exploring using LLM-driven systems to help people apply for SNAP, the US Supplemental Nutrition Assistance Program (aka food stamps). This is a domain which existing models…

  • Anchore: STIG in Action: Continuous Compliance with MITRE & Anchore

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    Kurt Seifried
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    Source URL: https://anchore.com/events/stig-in-action-continuous-compliance-with-mitre-anchore/ Source: Anchore Title: STIG in Action: Continuous Compliance with MITRE & Anchore Feedly Summary: The post STIG in Action: Continuous Compliance with MITRE & Anchore appeared first on Anchore. AI Summary and Description: Yes Summary: The text discusses an upcoming webinar focused on STIG (Security Technical Implementation Guide) compliance, emphasizing recent NIST…

  • Hacker News: Representation of BBC News Content in AI Assistants [pdf]

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    Kurt Seifried
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    Source URL: https://www.bbc.co.uk/aboutthebbc/documents/bbc-research-into-ai-assistants.pdf Source: Hacker News Title: Representation of BBC News Content in AI Assistants [pdf] Feedly Summary: Comments AI Summary and Description: Yes Summary: This extensive research conducted by the BBC investigates the accuracy of responses generated by prominent AI assistants when queried about news topics using BBC content. It highlights significant shortcomings in…

  • Simon Willison’s Weblog: llm-sort

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/11/llm-sort/ Source: Simon Willison’s Weblog Title: llm-sort Feedly Summary: llm-sort Delightful LLM plugin by Evangelos Lamprou which adds the ability to perform “semantic search" – allowing you to sort the contents of a file based on using a prompt against an LLM to determine sort order. Best illustrated by these examples from the…

  • Hacker News: Replicating Deepseek-R1 for $4500: RL Boosts 1.5B Model Beyond o1-preview

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    Kurt Seifried
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    Source URL: https://github.com/agentica-project/deepscaler Source: Hacker News Title: Replicating Deepseek-R1 for $4500: RL Boosts 1.5B Model Beyond o1-preview Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes the release of DeepScaleR, an open-source project aimed at democratizing reinforcement learning (RL) for large language models (LLMs). It highlights the project’s capabilities, training methodologies, and…

  • OpenAI : OpenAI partners with Schibsted Media Group

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    Kurt Seifried
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    Source URL: https://openai.com/index/openai-partners-with-schibsted-media-group Source: OpenAI Title: OpenAI partners with Schibsted Media Group Feedly Summary: OpenAI and Schibsted Media Group announce content partnership to bring Guardian news and archive content to ChatGPT. AI Summary and Description: Yes Summary: The partnership between OpenAI and Schibsted Media Group highlights the increasing integration of AI with media content. This…

  • Hacker News: PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.01584 Source: Hacker News Title: PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses a new benchmark for evaluating the reasoning capabilities of large language models (LLMs), highlighting the difference between evaluating general knowledge compared to specialized knowledge.…

  • Hacker News: LIMO: Less Is More for Reasoning

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.03387 Source: Hacker News Title: LIMO: Less Is More for Reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “LIMO: Less is More for Reasoning” presents groundbreaking insights into how complex reasoning can be achieved with fewer training examples in large language models. This challenges traditional beliefs about data…