orq.ai

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orq.ai

orq.ai

@orq_ai

Build your high-performing AI apps with the power of Large Language Models through a single collaboration platform.

Amsterdam, The Netherlands Katılım Şubat 2022
660 Takip Edilen287 Takipçiler
orq.ai
orq.ai@orq_ai·
𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝟰.𝟭 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁: 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀 New features in the 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝘀 module alert! - 𝗔𝗱𝗱 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗼𝗿𝘀 𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝗮𝗹𝗹𝘆  - 𝗘𝗻𝗮𝗯𝗹𝗲 𝗵𝘂𝗺𝗮𝗻 𝗿𝗲𝘃𝗶𝗲𝘄  - 𝗥𝗲𝗿𝘂𝗻 𝗲𝗿𝗿𝗼𝗿 𝗰𝗲𝗹𝗹𝘀
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orq.ai
orq.ai@orq_ai·
𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝟰.𝟭 𝗳𝗲𝗮𝘁𝘂𝗿𝗲 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁: 𝗠𝗲𝗺𝗼𝗿𝘆 𝗦𝘁𝗼𝗿𝗲𝘀 𝗠𝗲𝗺𝗼𝗿𝘆 𝗦𝘁𝗼𝗿𝗲𝘀 are persistent storage for agent memories, allowing your agents to maintain context and recall information across conversations
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orq.ai
orq.ai@orq_ai·
𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝟰.𝟭 𝗳𝗲𝗮𝘁𝘂𝗿𝗲 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁: 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗼𝗿𝗾 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗼𝗿𝗾 is a Python evaluation framework designed for running multiple experiments in parallel and measure AI performance directly from code. Google Colab link in the first comment
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orq.ai
orq.ai@orq_ai·
🚀 Orq.ai 4.1 is here Feature highlights dropping throughout the week: 🐍 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗼𝗿𝗾 𝗦𝗗𝗞 ⌨️ 𝗖𝗼𝗺𝗺𝗮𝗻𝗱 𝗕𝗮𝗿 🧪 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀 🛠️ 𝗧𝗼𝗼𝗹 𝗖𝗮𝗹𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝘀 🧠 𝗠𝗲𝗺𝗼𝗿𝘆 𝗦𝘁𝗼𝗿𝗲 𝗦𝘁𝘂𝗱𝗶𝗼
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orq.ai@orq_ai·
Las Vegas, here we come! 🎉 We will be exhibiting at @CES on 📅 January 6-9, 2026. See you at our📍 Booth #62100. Come watch live demos, meet our team, and discover how we're helping enterprises ship production-ready AI agents faster than ever. Who's joining us?
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orq.ai@orq_ai·
Ready to kick off 2026 ? Co-organized with miyagami.com, @lleverageai , and Adami.ai. We have prepared an amazing lineup to discuss the GenAI forecasts for 2026. Let’s kick off 2026 together! Sign up using Luma link in the comments!
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orq.ai@orq_ai·
What if you could ask multiple LLMs the same question and let them “debate” ? That’s the idea behind 𝗟𝗟𝗠 𝗖𝗼𝘂𝗻𝗰𝗶𝗹, proposed by Andrej Karpathy. Check out a short demo showing how this concept comes to life using Orq.ai’s AI Gateway.
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orq.ai@orq_ai·
By building a smart dual-model labeling pipeline, we generated 8,000 high-quality training samples for just $26, proving that industrial-grade fine-tuning is no longer reserved for those with massive budgets.
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orq.ai@orq_ai·
Even more impressive? With advanced prompt engineering, we unlocked +34% accuracy gains—equivalent to scaling models by 5–10× in size.
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orq.ai@orq_ai·
Can a 14B model really compete with a 100B+ model? Our latest research says: yes, when done right. orq.ai/blog/can-a-14b…
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orq.ai
orq.ai@orq_ai·
Agent runtime, our latest product, allows teams to build enterprise-grade agents, while we handle all the infrastructure, orchestration, governance and finops across 300 models and 18 providers. orq.ai/platform/agent…
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orq.ai@orq_ai·
Today we're announcing a 5 million Seed round and our Agent Runtime. When we started 3 years ago, we just wanted to be on the field... Now, we are running critical AI workloads for hundreds of teams, supporting the entire AI engineering lifecycle.
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