Tag: iOS
-
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…
-
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…
-
Hacker News: Storybits: Error Resistant Mnemonics
Source URL: https://rya.nc/storybits.html Source: Hacker News Title: Storybits: Error Resistant Mnemonics Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a project named “Storybits,” a mnemonic system designed to transform binary data into memorable word combinations. It emphasizes the challenges of remembering binary data compared to a word-based mnemonic approach. The system…
-
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…
-
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…
-
Hacker News: Writing Secure Go Code
Source URL: https://jarosz.dev/article/writing-secure-go-code/ Source: Hacker News Title: Writing Secure Go Code Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive guide on best practices for writing secure Go code. It emphasizes the importance of keeping Go versions updated, utilizing static code analyzers, checking for known vulnerabilities, and implementing best practices…
-
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…