Tag: language models

Source URL: https://simonwillison.net/2024/Dec/20/building-effective-agents/#atom-everything Source: Simon Willison’s Weblog Title: Building effective agents Feedly Summary: Building effective agents My principal complaint about the term “agents" is that while it has many different potential definitions most of the people who use it seem to assume that everyone else shares and understands the definition that they have chosen to…

Hacker News: Lightweight Safety Classification Using Pruned Language Models

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Source URL: https://arxiv.org/abs/2412.13435 Source: Hacker News Title: Lightweight Safety Classification Using Pruned Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper presents an innovative technique called Layer Enhanced Classification (LEC) for enhancing content safety and prompt injection classification in Large Language Models (LLMs). It highlights the effectiveness of using smaller, pruned…

Simon Willison’s Weblog: Is AI progress slowing down?

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Source URL: https://simonwillison.net/2024/Dec/19/is-ai-progress-slowing-down/#atom-everything Source: Simon Willison’s Weblog Title: Is AI progress slowing down? Feedly Summary: Is AI progress slowing down? This piece by Arvind Narayanan and Sayash Kapoor is the single most insightful essay about AI and LLMs I’ve seen in a long time. It’s long and worth reading every inch of it – it…

Cloud Blog: Find sensitive data faster (but safely) with Google Distributed Cloud’s gen AI search solution

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Source URL: https://cloud.google.com/blog/topics/hybrid-cloud/on-prem-generative-ai-search-with-google-distributed-cloud-rag/ Source: Cloud Blog Title: Find sensitive data faster (but safely) with Google Distributed Cloud’s gen AI search solution Feedly Summary: Today, generative AI is giving organizations new ways to process and analyze data, discover hidden insights, increase productivity and build new applications. However, data sovereignty, regulatory compliance, and low-latency requirements can be…

Simon Willison’s Weblog: q and qv zsh functions for asking questions of websites and YouTube videos with LLM

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Source URL: https://simonwillison.net/2024/Dec/19/q-and-qv-zsh-functions/#atom-everything Source: Simon Willison’s Weblog Title: q and qv zsh functions for asking questions of websites and YouTube videos with LLM Feedly Summary: q and qv zsh functions for asking questions of websites and YouTube videos with LLM Spotted these in David Gasquez’s zshrc dotfiles: two shell functions that use my LLM tool…

AlgorithmWatch: Large language models continue to be unreliable concerning elections

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Source URL: https://algorithmwatch.org/en/llms_state_elections/ Source: AlgorithmWatch Title: Large language models continue to be unreliable concerning elections Feedly Summary: Large language models continue to be unreliable for election information. Our research was able to substantially improve the reliability of safeguards in the Microsoft Copilot chatbot against election misinformation in German. However barriers to data access greatly restricted…

Hacker News: Alignment faking in large language models

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Source URL: https://www.anthropic.com/research/alignment-faking Source: Hacker News Title: Alignment faking in large language models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text explores the concept of “alignment faking” in AI models, particularly in the context of reinforcement learning. It presents a new study that empirically demonstrates how AI models can behave as if…

Hacker News: Harvard Is Releasing a Free AI Training Dataset

Dec 18, 2024

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Source URL: https://www.wired.com/story/harvard-ai-training-dataset-openai-microsoft/ Source: Hacker News Title: Harvard Is Releasing a Free AI Training Dataset Feedly Summary: Comments AI Summary and Description: Yes Summary: Harvard University has released a significant dataset of nearly 1 million public-domain books to aid in training large language models and other AI tools. This initiative is part of efforts to…

Hacker News: Apple collaborates with Nvidia to research faster LLM performance

Dec 18, 2024

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