A total of 91,403 sessions targeted public LLM endpoints to find leaks in organizations' use of AI and map an expanding ...

In everyday use, Tabby works how you'd want a coding assistant to work. For one, it doesn't operate like a chat assistant ...

Learn to code’ is dead. So what the heck should you actually teach your kids in the age of AI? - IN FOCUS: Holly Baxter asks tech experts what students should actually study, now ‘learn to code’ is de ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

We will partner for compute while keeping all research/engineering/code fully open source. We will partner with compute providers while keeping all research/engineering/code fully open source.

Fine-tune popular AI models faster with Unsloth on NVIDIA RTX AI PCs such as GeForce RTX desktops and laptops to RTX PRO workstations and the new DGX Spark to build personalized assistants for coding, ...

Large language models often lie and cheat. We can’t stop that—but we can make them own up. OpenAI is testing another new way to expose the complicated processes at work inside large language models.

As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models (LLMs) into auditable, trustworthy enterprise systems.

As a graduate student in the 1980s, Yann LeCun had trouble finding an adviser for his Ph.D. thesis on machine learning—because no one else was studying the topic, he recalled later.