/octopus/chat/completions Multiple LLMs from various providers, each with its own personality. 1 singular response. OpenAI-compliant API, plug & play with any OpenAI client application. Wins most LLM benchmarks. Yes. Best part? In 24 hours, it's actually real.

Score Model reasoning looks so cool!

ObjectiveAI is recruiting. We are looking for a Designer Co-Founder to design the UI for a developer-facing product. Technical proficiency is important. We are also looking for Technical Advisors (15 minutes/week). The only requirement is prior FAANG experience.

We have Apps now! https://t.co/YtZTZ00pdn

Why does an ObjectiveAI Score Model work so well? Why does it give better scores, be it for ranking, or for multiple choice questions, than individual LLMs? The core reason is because a Score Model is not aware of its own nature. It doesn't know it's scoring.

We're hard at work on overhauling the website. Our priority is in making it more useful, more accessible, and more beautiful. Much thanks to everyone who's given feedback up to now. 🙏

We'll soon score anything: answers, rankings, search results, documents, leads, you name it. Powered by llm-weighted-consensus (open source). We’re here to power those who build. Benchmarks: https://t.co/la0nEPngYI What should we prove next?

Hypothesis: ObjectiveAI Query Models, which combine multiple LLMs and measure confidence by consensus, will: ✅ Increase Accuracy on Humanity’s Last Exam ✅ Show lower Calibration error ✅ Do so more cost-efficiently If proven, this changes AI #AI #LLM #Reliability #ObjectiveAI

We, at Objective AI, are proud to announce the first iteration of our API docs. We have 32 fully-functional API endpoints documented. Explore our most important endpoint, the Query Completion, fully OpenAI-compliant, here: