Introducing the Chatbot Guardrails Arena

Non-engineers guide: Train a LLaMA 2 chatbot

If These Walls Could Talk: Critical Play with Large Language Models in Museums

arXiv:2606. 15565v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly being used in museums to as role playing chatbots which let visitors talk to simulated versions of people and artefacts from the past.

Introducing ChatGPT Team

We’re launching a new ChatGPT plan for teams of all sizes, which provides a secure, collaborative workspace to get the most out of ChatGPT at work.

Our commitment to community safety

Learn how OpenAI protects community safety in ChatGPT through model safeguards, misuse detection, policy enforcement, and collaboration with safety experts.

Introducing Le Chat Enterprise

A Chatbot on your Laptop: Phi-2 on Intel Meteor Lake

Behind the Refusal: Determining Guardrail Activation via Behavioral Monitoring

arXiv:2607. 02121v1 Announce Type: cross Abstract: As Large Language Models (LLMs) and agentic systems become integrated into real-world applications, ensuring their safety and security is critical.

How good are LLMs at fixing their mistakes? A chatbot arena experiment with Keras and TPUs

TraceSafe: A Systematic Assessment of LLM Guardrails on Multi-Step Tool-Calling Trajectories

arXiv:2604. 07223v2 Announce Type: replace-cross Abstract: As large language models (LLMs) evolve from static chatbots into autonomous agents, the primary vulnerability surface shifts from final outputs to intermediate execution traces.

Introducing ChatGPT agent

Introducing ChatGPT agent: it thinks and acts, using tools to complete tasks like research, bookings, and slideshows—all with your guidance.

Building more helpful ChatGPT experiences for everyone

We’re partnering with experts, strengthening protections for teens with parental controls, and routing sensitive conversations to reasoning models in ChatGPT.

Designing AI agents to resist prompt injection

How ChatGPT defends against prompt injection and social engineering by constraining risky actions and protecting sensitive data in agent workflows.