Experimental News Clipping Site

Tag: large language model

  • Simon Willison’s Weblog: Project: VERDAD – tracking misinformation in radio broadcasts using Gemini 1.5

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    Source URL: https://simonwillison.net/2024/Nov/7/project-verdad/#atom-everything Source: Simon Willison’s Weblog Title: Project: VERDAD – tracking misinformation in radio broadcasts using Gemini 1.5 Feedly Summary: I’m starting a new interview series called Project. The idea is to interview people who are building interesting data projects and talk about what they’ve built, how they built it, and what they learned…

  • Cloud Blog: Getting started with NL2SQL (natural language to SQL) with Gemini and BigQuery

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    Source URL: https://cloud.google.com/blog/products/data-analytics/nl2sql-with-bigquery-and-gemini/ Source: Cloud Blog Title: Getting started with NL2SQL (natural language to SQL) with Gemini and BigQuery Feedly Summary: The rise of Natural Language Processing (NLP) combined with traditional Structured Query Language (SQL) has given rise to an exciting new technology known as Natural Language to SQL, or NL2SQL, which translates questions phrased…

  • Cloud Blog: How to simplify building RAG pipelines in BigQuery with Document AI Layout Parser

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    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-and-document-ai-layout-parser-for-document-preprocessing/ Source: Cloud Blog Title: How to simplify building RAG pipelines in BigQuery with Document AI Layout Parser Feedly Summary: Document preprocessing is a common hurdle when building retrieval-augmented generation (RAG) pipelines. It often requires Python skills and external libraries to parse documents like PDFs into manageable chunks that can be used to…

  • Schneier on Security: Prompt Injection Defenses Against LLM Cyberattacks

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    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…

  • Schneier on Security: Subverting LLM Coders

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    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…

  • Hacker News: Evaluating the World Model Implicit in a Generative Model

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    Source URL: https://arxiv.org/abs/2406.03689 Source: Hacker News Title: Evaluating the World Model Implicit in a Generative Model Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper delves into the evaluation of world models implicitly learned by generative models, particularly large language models (LLMs). It highlights the potential limitations and fragilities of these models in…

  • Simon Willison’s Weblog: yet-another-applied-llm-benchmark

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    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…

  • The Register: Staff can’t code? No prob. Singapore superapp’s LLM whips up apps for them

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    Source URL: https://www.theregister.com/2024/11/06/grab_coding_llm/ Source: The Register Title: Staff can’t code? No prob. Singapore superapp’s LLM whips up apps for them Feedly Summary: NP-hard to NP at all Southeast Asia’s Uber-esque superapp, Grab, has developed a tool that allows its employees to build large language model (LLM) apps without coding.… AI Summary and Description: Yes Summary:…

  • Hacker News: WebRL: Training LLM Web Agents via Self-Evolving Online Reinforcement Learning

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    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…

  • Slashdot: Google’s Big Sleep LLM Agent Discovers Exploitable Bug In SQLite

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    Source URL: https://tech.slashdot.org/story/24/11/05/1532207/googles-big-sleep-llm-agent-discovers-exploitable-bug-in-sqlite?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google’s Big Sleep LLM Agent Discovers Exploitable Bug In SQLite Feedly Summary: AI Summary and Description: Yes **Summary:** Google has leveraged a large language model (LLM) agent, “Big Sleep,” to identify a previously undiscovered memory vulnerability in SQLite, marking a significant advancement in automated vulnerability discovery. This initiative showcases…