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The most powerful platform for building AI products. Build and scale AI experiences powered by industry-leading models and tools.
Launched on November 7th, 2023
According to the Verge, Open AI is trying to create a new social network where people can share their creations produced by artificial intelligence.
Meta is also considering creating AI avatars for social media to drive engagement.
On their livestream today, OpenAI just released a bunch of new tools for reliably building and using AI agents. From what I can tell, this is what's new-
New APIs:
Responses API - a new multi-modal API that builds on chat completions to allow for the next-generation of tool calling, starting with the new tools announced today.
I don't see a lot of products using the realtime api in building their conversation ai agents. Given that it now has realtime communication support through WebRTC allowing low latency conversations, I expected it to blow up. Are there any limitations of this model like hallucinations and or is it just too expensive for commercial use?
OpenAI is highly praised for its powerful AI models and developer-friendly APIs, enabling a wide range of applications. Supabase uses OpenAI for intelligent developer assistance, while GitHub integrates its API for runtime operations. Zapier appreciates the seamless integration for enhancing app functionalities. Users commend OpenAI for boosting productivity and creativity, though some note occasional inaccuracies and high costs. Overall, OpenAI is recognized for its innovation and commitment to responsible AI development.
Hi everyone!
SWE-Lancer, from OpenAI, is a fascinating new benchmark for evaluating AI models on real-world software engineering tasks. And it's not just about coding – SWE-Lancer also tests AI's ability to make managerial decisions.
This isn't just another synthetic benchmark – it's based on over 1,400 actual freelance jobs posted on Upwork, with a total value of over $1 million.
💰 Real-World Tasks: Everything from small bug fixes to large feature implementations, with associated payouts.
🧑💻 Two Task Types: Coding & Managerial.
🐳 Dockerized: Comes with a unified Docker image for easy setup and consistent evaluation.
🔓 Open-Source: The benchmark data (SWE-Lancer Diamond), Docker image, and evaluation scripts are all open-source.
The idea is to map AI model performance to real-world economic value, for both coding and project management skills. OpenAI's testing shows that even frontier models struggle with many of these tasks.
So, how far are we from the real AI Agent Era?