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#rate-limiting #docker #ai #hydra #metadata-poisoning #model-supply-chain #search-time-data-contamination

Artificial intelligence

fromTheregister

Python libraries in AI/ML models can be poisoned w metadata

Hydra instantiate() vulnerabilities let attackers embed malicious metadata in popular AI libraries so code executes automatically when poisoned files are loaded.

Artificial intelligence

fromTheregister

Search-capable AI agents may cheat on benchmark tests

Search-based AI models can obtain benchmark answers directly from online sources during evaluation, causing search-time data contamination and inflating apparent capabilities.

Artificial intelligence

Quick note on adding rate limit for AI agents using LiteLLM server

Implementing a LiteLLM proxy server can help manage request rates and prevent service limits.

Artificial intelligence

Quick note on adding rate limit for AI agents using LiteLLM server

Implement a LiteLLM proxy server to manage request rate limits and prevent exceeding service limitations during continuous AI agent conversations.

Artificial intelligence

Quick note on adding rate limit for AI agents using LiteLLM server

Implementing a rate limiting strategy for AI agents can prevent the 409 error response from service providers like AWS Bedrock.

Artificial intelligence

How to Prompt Engineer Phi-3-mini: A Practical Guide | HackerNoon

Prompt engineering enhances AI interaction by creating specialized inputs for better model outputs.

Artificial intelligence

Quick note on adding rate limit for AI agents using LiteLLM server

Artificial intelligence

How to Prompt Engineer Phi-3-mini: A Practical Guide | HackerNoon

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