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
Fastino Labs has released GLiNER2.5-Decide, a 340M-parameter open-weight decision model. It takes text and a schema of typed questions and returns structured answers. Each answer comes with a probability distribution, a confidence score,...
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
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
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
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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