Agents1 min read
Jev decision model and LangGraph for reliable AI systems
Jev is a new decision model that is faster and cheaper than traditional large language models. LangGraph helps build reliable AI workflows.
From LangChain blog
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Agents1 min read
Jev is a new decision model that is faster and cheaper than traditional large language models. LangGraph helps build reliable AI workflows.
From LangChain blog
AI1 min read
Contrastive-LM has released CLM-8B, an open System One model that scores candidate actions against a state instead of generating text. It adds 2 small projection heads to a frozen Qwen3-8B encoder and trains them with a contrastive InfoN...
From MarkTechPost
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
AI1 min read
This tutorial provides a complete coding guide to TypeSafe AI's Jev, a System One model designed for non-text, structured judgments. It covers installing the official Python SDK, using primitive question types (Choice, Score, Noul), impl...
From MarkTechPost
AI1 min read
Nokia’s applied research team has open-sourced AnyJev, a Python library that turns an open LLM into a decision model. It needs no training. It targets a common production job: picking one answer from a fixed set instead of writing a sent...
From MarkTechPost
LLMs1 min read
We just launched our own Jev-like classifier, together/Tev1-4B-experimental, on top of Qwen3.5 4B on Together’s serverless platform. In this blog post we’ll show you how to fine-tune your own version!
From Together AI blog
Agents1 min read
The definitive Jev podcast with its lead creator.
From Latent Space
Agents1 min read
Use Jev as a judge for LangSmith evals to evaluate agent traces with faster, cheaper structured feedback across production runs, datasets, and regression tests.
From LangChain blog
Agents1 min read
Jev is a new model that evaluates agents by giving typed answers instead of generating text. It is faster and costs less than traditional methods.
From LangChain blog
AI1 min read
TypeSafe AI released Jev, a System One model that answers typed questions with probabilities instead of generating text. Input costs $0.042 per 1M tokens, and output tokens are free. We cover the API, the vendor benchmarks and their cave...
From MarkTechPost
AI1 min read
Jev, a new kind of AI model, is showing developers a cheaper and faster path to software intelligence.
From TechCrunch AI
Agents1 min read
TypeSafe launched Jev, a model trained with RLCD for decisions. It is significantly faster and cheaper than small frontier models.
From Latent Space
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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