DALL·E now available without waitlist

DALL·E 3 is now available in ChatGPT Plus and Enterprise

We developed a safety mitigation stack to ready DALL·E 3 for wider release and are sharing updates on our provenance research.

DALL·E 2 research preview update

Early users have created over 3 million images to date and helped us improve our safety processes. We’re excited to begin adding up to 1,000 new users from our waitlist each week.

DALL·E now available in beta

We’ll invite 1 million people from our waitlist over the coming weeks. Users can create with DALL·E using free credits that refill every month, and buy additional credits in 115-generation increments for $15.

OpenAI’s API now available with no waitlist

Wider availability made possible by safety progress.

DALL·E API now available in public beta

Starting today, developers can begin building apps with the DALL·E API.

GPT-4 API general availability and deprecation of older models in the Completions API

GPT-3. 5 Turbo, DALL·E and Whisper APIs are also generally available, and we are releasing a deprecation plan for older models of the Completions API, which will retire at the beginning of 2024.

ContinuityBench: A Benchmark and Systems Study of Stateful Failover in Multi-Provider LLM Routing

arXiv:2607. 15899v1 Announce Type: new Abstract: In production large language model (LLM) deployments, high API availability guarantees do not equate to conversational continuity.

Enterprise-ready trust and safety

Salesforce integrates OpenAI’s enterprise-ready LLMs to transform customer applications.

DALL·E 2 pre-training mitigations

In order to share the magic of DALL·E 2 with a broad audience, we needed to reduce the risks associated with powerful image generation models. To this end, we put various guardrails in place to prevent generated images from violating our content policy.

DALL·E 3 system card

Function calling and other API updates

We’re announcing updates including more steerable API models, function calling capabilities, longer context, and lower prices.

Robust Federated Learning Under Real-World Client Churn

arXiv:2607. 06979v1 Announce Type: new Abstract: Federated Learning (FL) enables training shared models on private, on-device data, but production deployments remain constrained to slow, multi-day refresh cycles due to the complexity of coordinating massive client populations.