Tag: lm
-
Hacker News: AMD Open-Source 1B OLMo Language Models
Source URL: https://www.amd.com/en/developer/resources/technical-articles/introducing-the-first-amd-1b-language-model.html Source: Hacker News Title: AMD Open-Source 1B OLMo Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses AMD’s development and release of the OLMo series, a set of open-source large language models (LLMs) designed to cater to specific organizational needs through customizable training and architecture adjustments. This…
-
AWS News Blog: Fine-tuning for Anthropic’s Claude 3 Haiku model in Amazon Bedrock is now generally available
Source URL: https://aws.amazon.com/blogs/aws/fine-tuning-for-anthropics-claude-3-haiku-model-in-amazon-bedrock-is-now-generally-available/ Source: AWS News Blog Title: Fine-tuning for Anthropic’s Claude 3 Haiku model in Amazon Bedrock is now generally available Feedly Summary: Unlock Anthropic’s Claude 3 Haiku model’s full potential with Amazon Bedrock’s fine-tuning for enhanced accuracy and customization. AI Summary and Description: Yes Summary: The text highlights the general availability of fine-tuning…
-
Simon Willison’s Weblog: From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code
Source URL: https://simonwillison.net/2024/Nov/1/from-naptime-to-big-sleep/#atom-everything Source: Simon Willison’s Weblog Title: From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code Feedly Summary: From Naptime to Big Sleep: Using Large Language Models To Catch Vulnerabilities In Real-World Code Google’s Project Zero security team used a system based around Gemini 1.5 Pro to find…
-
Simon Willison’s Weblog: Claude API: PDF support (beta)
Source URL: https://simonwillison.net/2024/Nov/1/claude-api-pdf-support-beta/#atom-everything Source: Simon Willison’s Weblog Title: Claude API: PDF support (beta) Feedly Summary: Claude API: PDF support (beta) Claude 3.5 Sonnet now accepts PDFs as attachments: The new Claude 3.5 Sonnet (claude-3-5-sonnet-20241022) model now supports PDF input and understands both text and visual content within documents. I just released llm-claude-3 0.7 with support…
-
Hacker News: Using Large Language Models to Catch Vulnerabilities
Source URL: https://googleprojectzero.blogspot.com/2024/10/from-naptime-to-big-sleep.html Source: Hacker News Title: Using Large Language Models to Catch Vulnerabilities Feedly Summary: Comments AI Summary and Description: Yes Summary: The Big Sleep project, a collaboration between Google Project Zero and Google DeepMind, has successfully discovered a previously unknown exploitable memory-safety vulnerability in SQLite through AI-assisted analysis, marking a significant advancement in…
-
Simon Willison’s Weblog: Quoting Question for Department for Science, Innovation and Technology
Source URL: https://simonwillison.net/2024/Nov/1/prompt-injection/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Question for Department for Science, Innovation and Technology Feedly Summary: Lord Clement-Jones: To ask His Majesty’s Government what assessment they have made of the cybersecurity risks posed by prompt injection attacks to the processing by generative artificial intelligence of material provided from outside government, and whether…
-
Hacker News: Dawn: Designing Distributed Agents in a Worldwide Network
Source URL: https://arxiv.org/abs/2410.22339 Source: Hacker News Title: Dawn: Designing Distributed Agents in a Worldwide Network Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the design of DAWN, a framework for integrating Large Language Model (LLM)-based agents into a distributed network. It highlights the need for safety, security, and compliance in agent…
-
Simon Willison’s Weblog: Cerebras Coder
Source URL: https://simonwillison.net/2024/Oct/31/cerebras-coder/#atom-everything Source: Simon Willison’s Weblog Title: Cerebras Coder Feedly Summary: Cerebras Coder Val Town founder Steve Krouse has been building demos on top of the Cerebras API that runs Llama3.1-70b at 2,000 tokens/second. Having a capable LLM with that kind of performance turns out to be really interesting. Cerebras Coder is a demo…