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We’re Scaled Cognition, developing the first ever models trained specifically for agentic applications: 1. Our first system, APT-1, is now #1 on agentic benchmarks. 2. It was developed by a US team for a total cost of less than $11M. 3. Khosla Ventures led our seed round ($21M closed... show more

Scaled Cognition

1,140 subscribers

94,532 次观看 • 1 年前 •via X (Twitter)

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Scaled Cognition 的头像

Scaled Cognition1 年前

We’re also announcing our Agent Builder platform, which allows you to create, test, and deploy an enterprise-grade AI agent using APT-1 in under an hour. Our GenAPI technology lets you test agent behaviors without needing to integrate with real APIs during development. Learn more about Agent Builder and GenAPI:

Scaled Cognition 的头像

Scaled Cognition1 年前

APT-1 currently outperforms all other models on the Tau-Bench and ComplexFuncBench agentic leaderboards, which test the ability to invoke sequences of complex APIs and comply with business policies.

Scaled Cognition 的头像

Scaled Cognition1 年前

We’ve accomplished these gains through (1) optimizing the model for actions rather than tokens, (2) a new kind of synthetic agentic training data, and (3) a novel RL approach using agent-to-agent self play. (1) Standard models are focused on token sequences, but business logic applies to actions (like policy rules governing API calls). Our models are trained to optimize licensed, well-formed actions, producing training regimes better suited to agentic tasks. (2) Training an agentic system requires data that contains both conversations and the actions that go along with them. Neither the web nor enterprise datastores have this kind of grounded data, so we generated it using a new, fully synthetic data pipeline. (3) RL through self-play has been a powerful tool in AI for domains like Chess or Go where win/loss outcomes are clear. We developed solutions for getting self-play to work in the agentic case, using simulated agent-to-agent interactions. Our approach applies to any agentic application and teaches the system to take actions correctly, subject to policies and instructions. Learn more and register for early access:

Karthik Narasimhan 的头像

Karthik Narasimhan1 年前

Very cool! Did you also compute the pass^k curves? Curious to see how reliable it is over multiple runs

Moritz Wallawitsch 的头像

Moritz Wallawitsch1 年前

Not sure if I understand what's happening here. Is the last action-token the model outputted in this screenshot “generate response”?

Christopher David 的头像

Christopher David1 年前

Congrats! Open source?

PhDPRIMA 的头像

PhDPRIMA1 年前

Impressive breakthrough in agentic AI! 🚀 APT-1 leading benchmarks with a fully synthetic RL-based pipeline is a game-changer. Excited to see its impact! 🔥 For PhD research support in AI/ML, check out @PhDPRIMA! 🎓✨ #PhDPRIMA

Anthony 😎🛹 的头像

Anthony 😎🛹1 年前

Yummy

DK 的头像

DK1 年前

which AI video recording did he use?

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Cellular Intelligence

11,679 次观看 • 1 年前

When something goes wrong — a power outage, a cancelled vacation, even a wildfire — the first thing people do is pick up the phone. At PolyAI, we’re the voice that answers those calls. We just closed our Series D, surpassing $200M in total funding to make sure your critical calls never get dropped and are always handled with the care and quality of your very best human customer service reps. Thank you to Georgian, Hedosophia, Khosla Ventures, NVIDIA, and all of our investors for believing in our vision for the agentic enterprise. With this funding, we’re doubling down: building agentic systems that sense, reason, and act in real time to help your business operate better and serve people when it matters most. To those of you thinking through conversational agents for your own business, or who are working with a vendor that hasn’t stepped up as a truly transformational partner, book a demo with us. If we can’t automate 70% of your calls, we’ll donate $100k to a charity of your choice:

When something goes wrong — a power outage, a cancelled vacation, even a wildfire — the first thing people do is pick up the phone. At PolyAI, we’re the voice that answers those calls. We just closed our Series D, surpassing $200M in total funding to make sure your critical calls never get dropped and are always handled with the care and quality of your very best human customer service reps. Thank you to Georgian, Hedosophia, Khosla Ventures, NVIDIA, and all of our investors for believing in our vision for the agentic enterprise. With this funding, we’re doubling down: building agentic systems that sense, reason, and act in real time to help your business operate better and serve people when it matters most. To those of you thinking through conversational agents for your own business, or who are working with a vendor that hasn’t stepped up as a truly transformational partner, book a demo with us. If we can’t automate 70% of your calls, we’ll donate $100k to a charity of your choice:

Nikola Mrkšić

264,560 次观看 • 9 个月前

Anthropic’s Head of AI Lab: "At Anthropic, 80% of our engineers are running self-improving agentic loops. Graphs next for agents. in last 3 months, our team has started building Graphs for multi-agent orchestration. No more prompting." in 1-hour podcast Head of Anthropic Lab reveal the latest internal setup for Claude code. Worth more than $500 agentic course. Watch it today, then read how to become a Graph Engineer in the article below.

Anthropic’s Head of AI Lab: "At Anthropic, 80% of our engineers are running self-improving agentic loops. Graphs next for agents. in last 3 months, our team has started building Graphs for multi-agent orchestration. No more prompting." in 1-hour podcast Head of Anthropic Lab reveal the latest internal setup for Claude code. Worth more than $500 agentic course. Watch it today, then read how to become a Graph Engineer in the article below.

Movez

32,391 次观看 • 2 个月前

No data, no problem introducing agentic synthetic data generation with Cosmos 3 share a few examples, generate more data, automate model training, automatically deploy the latest version with no downtime in a benchmark run with Corning Incorporated's optical fiber manufacturing engineering team, a model trained on 8 real defect images plus synthetic examples generated by Cosmos reached 0.95 mean average precision and perfect recall on the toughest defect class, beating a baseline trained on real data alone. "The Roboflow Agent powered by NVIDIA allows us to generate the training data we need, fine-tune our models, and strengthen model performance and inspection quality while increasing the speed, scalability, and adoption of next-generation technologies,” - Jeremy Knopf, chief information officer, Corning Optical Communications

No data, no problem introducing agentic synthetic data generation with Cosmos 3 share a few examples, generate more data, automate model training, automatically deploy the latest version with no downtime in a benchmark run with Corning Incorporated's optical fiber manufacturing engineering team, a model trained on 8 real defect images plus synthetic examples generated by Cosmos reached 0.95 mean average precision and perfect recall on the toughest defect class, beating a baseline trained on real data alone. "The Roboflow Agent powered by NVIDIA allows us to generate the training data we need, fine-tune our models, and strengthen model performance and inspection quality while increasing the speed, scalability, and adoption of next-generation technologies,” - Jeremy Knopf, chief information officer, Corning Optical Communications

Roboflow

39,416 次观看 • 3 个月前

SpaceXAI engineer, Lauren Tan: "Grok Bot has over a million users. Less than 1% use it the right way. at SpaceXAI, our engineers run 10-20 GrokBot agents that automate 90% of routine work." in 1 hour she shows exactly how to build a team of agents that will work for you 24/7. worth more than any $500 course on agentic engineering. watch it, then build your first Grok Bot agent with the article below.

SpaceXAI engineer, Lauren Tan: "Grok Bot has over a million users. Less than 1% use it the right way. at SpaceXAI, our engineers run 10-20 GrokBot agents that automate 90% of routine work." in 1 hour she shows exactly how to build a team of agents that will work for you 24/7. worth more than any $500 course on agentic engineering. watch it, then build your first Grok Bot agent with the article below.

Mahax

65,272 次观看 • 25 天前