Remove insecure-output-handling
article thumbnail

Overcoming 12 Challenges in Building Production-Ready RAG-based LLM Applications

Data Science Dojo

Handling Unstructured Data: Dealing with unstructured data, such as free-flowing text or natural language, can be difficult. Chunk sizes can be adjusted to match what the model handles best. This approach ensures scalability and technical robustness in handling vast amounts of text embeddings.

Database 221
article thumbnail

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning Blog

These five risks are insecure output handling, supply chain vulnerabilities, sensitive information disclosure, excessive agency, and overreliance. Implement user-level access quotas for users providing input and receiving output from a model.

AWS 122
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

A Critical Look at AI-Generated Software

Flipboard

In 2005, faulty software for the US $176 million baggage-handling system at Denver International Airport forced the whole thing to be scrapped. Using such a key would result in the encryption being completely insecure. So the code that is output can fail on tasks or propagate subtle bugs.

AI 170
article thumbnail

The three main types of cryptography

IBM Journey to AI blog

Normally, the user’s interface to the encrypt/decrypt operation handles data longer than the block size by repeatedly calling the low-level cipher function. One-way hash algorithms A cryptographic hash algorithm produces a fixed-length output string (often called a digest) from a variable-length input string.

Algorithm 110