Tag: applications
-
Simon Willison’s Weblog: LLM 0.18
Source URL: https://simonwillison.net/2024/Nov/17/llm-018/#atom-everything Source: Simon Willison’s Weblog Title: LLM 0.18 Feedly Summary: LLM 0.18 New release of LLM. The big new feature is asynchronous model support – you can now use supported models in async Python code like this: import llm model = llm.get_async_model(“gpt-4o") async for chunk in model.prompt( "Five surprising names for a pet…
-
Hacker News: Will passkeys ever replace passwords? Can they? Here’s why they should
Source URL: https://www.theregister.com/2024/11/17/passkeys_passwords/ Source: Hacker News Title: Will passkeys ever replace passwords? Can they? Here’s why they should Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the concept of passkeys as an alternative to traditional passwords, emphasizing their potential to enhance security against phishing attacks while addressing implementation challenges and user…
-
Hacker News: ML in Go with a Python Sidecar
Source URL: https://eli.thegreenplace.net/2024/ml-in-go-with-a-python-sidecar/ Source: Hacker News Title: ML in Go with a Python Sidecar Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive overview of various methods for integrating machine learning models, particularly large language models (LLMs), into Go applications. It discusses approaches for using existing commercial LLM APIs, running…
-
Hacker News: Garak, LLM Vulnerability Scanner
Source URL: https://github.com/NVIDIA/garak Source: Hacker News Title: Garak, LLM Vulnerability Scanner Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes “garak,” a command-line vulnerability scanner specifically designed for large language models (LLMs). This tool aims to uncover various weaknesses in LLMs, such as hallucination, prompt injection attacks, and data leakage. Its development…
-
Slashdot: What Happened After Google Retrofitted Memory Safety Onto Its C++ Codebase?
Source URL: https://tech.slashdot.org/story/24/11/16/0630218/what-happened-after-google-retrofitted-memory-safety-onto-its-c-codebase Source: Slashdot Title: What Happened After Google Retrofitted Memory Safety Onto Its C++ Codebase? Feedly Summary: AI Summary and Description: Yes Summary: Google’s transition to Safe Coding and memory-safe languages aims to enhance security within its extensive C++ codebase, notably in critical products like Chrome and its various services. By integrating hardened…
-
Hacker News: SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
Source URL: https://arxiv.org/abs/2310.03684 Source: Hacker News Title: SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Feedly Summary: Comments AI Summary and Description: Yes Summary: This text presents “SmoothLLM,” an innovative algorithm designed to enhance the security of Large Language Models (LLMs) against jailbreaking attacks, which manipulate models into producing undesirable content. The proposal highlights a…
-
Hacker News: Don’t Look Twice: Faster Video Transformers with Run-Length Tokenization
Source URL: https://rccchoudhury.github.io/rlt/ Source: Hacker News Title: Don’t Look Twice: Faster Video Transformers with Run-Length Tokenization Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel approach called Run-Length Tokenization (RLT) aimed at optimizing video transformers by eliminating redundant tokens. This content-aware method results in substantial speed improvements for training and…
-
Hacker News: YC is wrong about LLMs for chip design
Source URL: https://www.zach.be/p/yc-is-wrong-about-llms-for-chip-design Source: Hacker News Title: YC is wrong about LLMs for chip design Feedly Summary: Comments AI Summary and Description: Yes Summary: The text critiques Y Combinator’s (YC) recent interest in leveraging large language models (LLMs) for chip design, arguing that it fundamentally underestimates the complexities involved in chip architecture and design. It…