LLMs
Large Language Models can be backdoored by introducing just a limited number of “poisoned” documents during their training, a team of researchers from the UK’s Alan Turing Institute and partners found. “Injecting backdoors through data poisoning may be easier for large models than previously believed as the number of
Perplexity unveiled its Comet Plus revenue-sharing plan for publishers, a day before new copyright claims in Japan surfaced.
Copilot Chat for VS Code was vulnerable to prompt injection attacks, enabling data theft and even arbitrary code execution, with no LLMs completely safe.
Yes 95% of enterprise AI projects fail, but those reading closely can beat the statistics.
OpenAI and other LLMs might pitch their models as open to everyone, but many languages are missing out. AI firm Votee is aiming to change that – and technology from MongoDB has been central to its ability to execute
How to do observability when you can't see into the box
"Models trained on bad code with exposed keys [also] leads to the deterioration of guardrails..."
