Artificial intelligence

Building an early warning system for LLM-aided biological threat creation

Note: As part of our Preparedness Framework, we are investing in the development of improved evaluation methods for AI-enabled safety risks. We believe...

Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer...

Memory and new controls for ChatGPT

For Enterprise and Team users, memory can be useful when using ChatGPT for work. It can learn your style and preferences, and build...

Use Amazon Titan models for image generation, editing, and searching

Amazon Bedrock provides a broad range of high-performing foundation models from Amazon and other leading...

Goal Representations for Instruction Following – The Berkeley Artificial Intelligence Research Blog

Goal Representations for Instruction Following <!-- Figure title. Figure caption. This image is centered and set to 50% page width. --> A longstanding goal...

Disrupting malicious uses of AI by state-affiliated threat actors

Based on collaboration and information sharing with Microsoft, we disrupted five state-affiliated malicious actors: two China-affiliated threat actors known as Charcoal Typhoon and...

Run ML inference on unplanned and spiky traffic using Amazon SageMaker multi-model endpoints

Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows...

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Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)

Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved,...

Transform Customer Feedback into Actionable Insights with CrewAI and Streamlit | by Alan Jones | Dec, 2024

AI for BIBuild an AI-powered app to analyze unstructured feedback, generate insightful reports, and create interactive visualizationsNew AI...

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