Tag: language models
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Schneier on Security: Prompt Injection Defenses Against LLM Cyberattacks
Source URL: https://www.schneier.com/blog/archives/2024/11/prompt-injection-defenses-against-llm-cyberattacks.html Source: Schneier on Security Title: Prompt Injection Defenses Against LLM Cyberattacks Feedly Summary: Interesting research: “Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks“: Large language models (LLMs) are increasingly being harnessed to automate cyberattacks, making sophisticated exploits more accessible and scalable. In response, we propose a new defense…
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Schneier on Security: Subverting LLM Coders
Source URL: https://www.schneier.com/blog/archives/2024/11/subverting-llm-coders.html Source: Schneier on Security Title: Subverting LLM Coders Feedly Summary: Really interesting research: “An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection“: Abstract: Large Language Models (LLMs) have transformed code com- pletion tasks, providing context-based suggestions to boost developer productivity in software engineering. As users often…
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Simon Willison’s Weblog: yet-another-applied-llm-benchmark
Source URL: https://simonwillison.net/2024/Nov/6/yet-another-applied-llm-benchmark/#atom-everything Source: Simon Willison’s Weblog Title: yet-another-applied-llm-benchmark Feedly Summary: yet-another-applied-llm-benchmark Nicholas Carlini introduced this personal LLM benchmark suite back in February as a collection of over 100 automated tests he runs against new LLM models to evaluate their performance against the kinds of tasks he uses them for. There are two defining features…
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Hacker News: WebRL: Training LLM Web Agents via Self-Evolving Online Reinforcement Learning
Source URL: https://arxiv.org/abs/2411.02337 Source: Hacker News Title: WebRL: Training LLM Web Agents via Self-Evolving Online Reinforcement Learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces WebRL, a novel framework that employs self-evolving online curriculum reinforcement learning to enhance the training of large language models (LLMs) as web agents. This development is…
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Hacker News: Generative AI Has an E-Waste Problem
Source URL: https://spectrum.ieee.org/e-waste Source: Hacker News Title: Generative AI Has an E-Waste Problem Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a significant increase in private investment in generative AI and its substantial impact on the production of electronic waste (e-waste), particularly focusing on large language models (LLMs). It highlights the…
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Simon Willison’s Weblog: Claude 3.5 Haiku
Source URL: https://simonwillison.net/2024/Nov/4/haiku/#atom-everything Source: Simon Willison’s Weblog Title: Claude 3.5 Haiku Feedly Summary: Anthropic released Claude 3.5 Haiku today, a few days later than expected (they said it would be out by the end of October). I was expecting this to be a complete replacement for their existing Claude 3 Haiku model, in the same…
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Cloud Blog: A practical guide to synthetic data generation with Gretel and BigQuery DataFrames
Source URL: https://cloud.google.com/blog/products/data-analytics/synthetic-data-generation-with-gretel-and-bigquery-dataframes/ Source: Cloud Blog Title: A practical guide to synthetic data generation with Gretel and BigQuery DataFrames Feedly Summary: In our previous post, we explored how integrating Gretel with BigQuery DataFrames streamlines synthetic data generation while preserving data privacy. To recap, BigQuery DataFrames is a Python client for BigQuery, providing pandas-compatible APIs with…
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Hacker News: Large Language Models Are Changing Collective Intelligence Forever
Source URL: https://www.cmu.edu/tepper/news/stories/2024/september/collective-intelligence-and-llms.html Source: Hacker News Title: Large Language Models Are Changing Collective Intelligence Forever Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The paper explores how Large Language Models (LLMs) influence collective intelligence in various settings, enhancing collaboration and decision-making while also posing risks like potential misinformation. It emphasizes the need for responsible…