We’ve explored how prompt injections exploit the fundamental architecture of LLMs. So, how do we defend against threats that ...

Oracle today announced new agentic AI innovations for Oracle AI Database that will help customers rapidly build, deploy, and scale secure agentic AI applications that are suitable for full-scale ...

Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

KittenTTS, developed by Kitten ML, is a compact and efficient text-to-speech (TTS) system designed for resource-constrained environments. As explained by Sam Witteveen, it operates seamlessly on edge ...

According to @karpathy, he released an open-source llm-council web app that dispatches each user query to multiple models via OpenRouter, lets models review and rank anonymized responses, and then a ...

Is your generative AI application giving the responses you expect? Are there less expensive large language models—or even free ones you can run locally—that might work well enough for some of your ...

If Windows is your preferred operating system, consider these open-source apps. There are numerous open-source apps available for almost any task. These are all free to install and use on Windows.

Thousands of servers run open-source LLMs outside major AI platforms security controls, researchers say Researchers identify removed guardrails in hundreds of open-source LLM instances LLMs can be ...

Many in the industry think the winners of the AI model market have already been decided: Big Tech will own it (Google, Meta, Microsoft, a bit of Amazon) along with their model makers of choice, ...

Threat actors are systematically hunting for misconfigured proxy servers that could provide access to commercial large language model (LLM) services. In an ongoing campaign that started in late ...