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Abstract page for arXiv paper 2608.24945: FAMPWQ: Fisher Information-based Adaptive Mixed Precision Weight Quantization for Effective LLM Inference
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Abstract page for arXiv paper 2608.24936: GreenLeaf Law Embed Tiny: A Compact Embedding Model for Legal Domain Retrieval
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Another open weights model from Qwen. This one is "a multimodal MoE model that also serves as an early preview of the architecture used in Qwen4". It's pretty big: 125B …
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Z.ai releases GLM-5.3-Flash, a 320B-A18B natively multimodal MoE with 1M context, MIT weights, and $0.15/M input pricing.
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Managed Deep Agents and LLM Gateway hit public beta, plus Deep Agents v0.7, Tuned Evaluators, Bring Your Own Cloud on AWS, and LangSmith Engine upgrades.
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Amazon Bedrock AgentCore Evaluations decouples agent evaluation from the framework you build on. As long as your agent emits OpenTelemetry telemetry, the service can score it, whether you use LangGraph, LlamaIndex, the OpenAI Agents SDK, Google ADK, the...
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The underlying models had been rewarded for cheating and communicating with each other, a new OpenAI report finds.
Entities: OpenAI
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GlucoFM is a lightweight, self-supervised CGM foundation model that models slower glucose trends and short-term deviations in separate streams, producing transferable representations and setting new performance standards across diverse metabolic prediction...
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GraphRAG is an LLM inference workload, not a database choice. This article includes benchmark data, real cost breakdowns, and a reference architecture for bu…
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Discounting the opinions of LLM judges with highly correlated outputs ensures that panels of judges reflect a true diversity of perspectives.
Planet AI Developer Filter
+ 1 source (Planet AI Developer Filter and Google News AI Coding Agents)
Alibaba released the model weights for Qwen3.8-Flash-Next as a preview of the upcoming Qwen4 architecture for developers to experiment with and evaluate.
Topics: Coding Agents
Planet AI Developer Filter
+ 1 source (Planet AI Developer Filter and Google News AI Coding Agents)
Alibaba released the model weights for Qwen3.8-Flash-Next as a preview of the upcoming Qwen4 architecture for developers to experiment with and evaluate.
Topics: Coding Agents