Knowledgator Releases GLiFormer: A 575M-Parameter Encoder That Hits 91.10 F1 on Nested JSON Extraction Without Generating Tokens

MarkTechPost · 1 month ago · 39

Knowledgator Engineering released GLiFormer, a schema-conditioned encoder for multitask information extraction that produces nested JSON without generating output tokens token-by-token. GLiFormer Large v1 has 575.6M parameters and reports 91.10 F1 on a nested JSON benchmark (500 examples). Users can now run the Apache 2.0 checkpoints via pip on CPU or GPU while providing the extraction schema at inference time instead of relying on token-generation to format fields.

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Model Releases Open Source Models Language Models

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Bolt Forge

Product Hunt · 1 month ago · 12 ● 2 sources

Bolt inside bolt.new launched Bolt Forge, an agent that can generate, run, debug, and deploy full-stack web apps using open-source models.

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AI Agents Developer Tools Model Deployment Open Source Models

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Playing both sides of the U.S.-China AI “Cold War”

Rest of World · 1 month ago · 24 ● 9 sources

Saudi Arabia launched Humain-m3, an Arabic-language AI model built on technology from China’s MiniMax while Humain also contracts with U.S. firms for computing capacity. In August, Brazil announced about $444 million in AI investment split between infrastructure developed with China’s Huawei and a separate supercomputer expected to use Nvidia. As a result, countries increasingly mix U.S. and Chinese components across the AI stack, complicating U.S.-China competition and making Washington’s push to force single-supplier choices harder.

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AI Infrastructure AI Policy Geopolitics Open Source Models

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Migrating from closed to open source models, Together

Together AI · 1 month ago · 49

Together published a five-stage playbook for migrating from closed-source models to open source models, covering discover, evaluate, adapt, decide, and production rollout. It says customer transitions can take weeks to months rather than months to years, and reports cases with up to 70% cost reduction. The process shifts risk and integration work into managed tooling, uses replayed traffic and modular evals, and moves to canary deployments starting with 10% of traffic.

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AI Infrastructure Open Source Models Model Evaluation Together AI

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