Using GPT-4 for content moderation
We use GPT-4 for content policy development and content moderation decisions, enabling more consistent labeling, a faster feedback loop for policy refinement, and less involvement from human moderators.
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We use GPT-4 for content policy development and content moderation decisions, enabling more consistent labeling, a faster feedback loop for policy refinement, and less involvement from human moderators.
Distinguishing problems with external vs. internal LLMs, and data vs non-data patterns
Anthropic releases Claude Instant 1.2, a faster and improved version of its lightweight model.
This post will give some example comparisons running Llama 2 uncensored model versus its censored model.
Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback.
Anthropic publishes frontier threat red teaming methodology for identifying and mitigating risks in advanced AI systems.
We’re forming a new industry body to promote the safe and responsible development of frontier AI systems: advancing AI safety research, identifying best practices and standards, and facilitating information sharing among policymakers and industry.
Anthropic details security practices and threat model for frontier-scale language models.
OpenAI and other leading labs reinforce AI safety, security and trustworthiness through voluntary commitments.
We’re rolling out custom instructions to give you more control over how ChatGPT responds. Set your preferences, and ChatGPT will keep them in mind for all future conversations.
A new $5+ million partnership aims to explore ways the development of artificial intelligence (AI) can support a thriving, innovative local news field, and ensure local news organizations shape the future of this emerging technology.