🤖TypeSafe Unveils Jev, a Cheaper and Faster Model for Software Automation
Jev: Cheaper, Faster, and Smarter Automation
TL;DR
TypeSafe introduces Jev, a cost-effective and fast model for software automation. Jev outputs probabilities, preventing hallucinations and making it ideal for automating workflows. Vercel used Jev to review commands for safety, achieving results 5 to 18 times faster and more accurately.
TypeSafe has unveiled Jev, a new model designed for software automation. Jev stands out for its low cost and speed, with output tokens being free and input tokens metered by the billion. This model is particularly useful for preventing hallucinations and ensuring accurate automation. Vercel used Jev to run a classifier to review commands for safety, achieving results 5 to 18 times faster and with greater accuracy. Jev's confidence scores make it ideal for automating workflows, and it can augment large language models (LLMs) by acting as a smart check on misbehavior. Jev is trained exclusively on synthetic data using a technique called 'reinforcement learning from calibrated decisions'.
Key Points
TypeSafe's Jev model is designed for software automation, with output tokens free and input tokens metered by the billion.
Jev prevents hallucinations and ensures accurate automation, making it ideal for workflows.
Vercel used Jev to review commands for safety, achieving results 5 to 18 times faster and more accurately.
Jev's confidence scores make it ideal for automating workflows and augmenting LLMs.
Jev is trained exclusively on synthetic data using 'reinforcement learning from calibrated decisions'.
Why It Matters
If you're building automation tools or integrating intelligence into your code, Jev could be a game-changer. Vercel used Jev to run a classifier to review commands for safety, achieving results 5 to 18 times faster and more accurately. Jev's low cost and speed make it an attractive option for developers looking to incorporate intelligence into their workflows without breaking the bank.
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