Tutorials on How To Use Jev

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  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
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  • TypeScript
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How to Use Jev with LangChain for Fast Agent Safety Checks and Typed Decisions

Watch: Jev in an agent loop by Sam Witteveen TypeSafe positions Jev as a System One model. Instead of generating text token by token the way a general LLM does, it accepts unstructured program state plus a list of typed questions, and it returns typed answers with calibrated probabilities in one…
Thumbnail Image of Tutorial How to Use Jev with LangChain for Fast Agent Safety Checks and Typed Decisions
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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Jev is here! How to use it ?

Jev is TypeSafe AI's first System One model, as described in the vendor's materials. The product is presented as a decision engine: you hand it messy input plus a set of typed questions, and it returns structured answers with calibrated probabilities in one parallel pass. It is not designed to…
Thumbnail Image of Tutorial Jev is here! How to use it ?
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
•Last Updated:
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