newsHugging FaceTrust 88 · LabPublished 1mo agoLive · 1mo ago
Is it agentic enough? Benchmarking open models on your own tooling
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- LinkedLinked via unknownLattice Labs →
- LinkedLinked via unknownAgentCore-8B →
- LinkedLinked via unknownEvaluate a model properly →
- LinkedLinked via unknownagent-tools →
- LinkedLinked via unknownMoh4696/free-ai-models →
- LinkedLinked via unknownTool use without fine-tuning →
- LinkedLinked via unknownSurrogate Fidelity: When Can Open LLMs Explain Closed Ones? →
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repoMoh4696/free-ai-modelspaperTool use without fine-tuningpaperSurrogate Fidelity: When Can Open LLMs Explain Closed Ones?paperCan Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Userepoopen-edge-platform/getireposuperlinked/siereporuimalheiro/gradient-gardenrepoSemiAnalysisAI/InferenceXrepoclawwork-ai/ClawWorkrepomodelscope/evalscopepaperToolFailBench: Diagnosing Tool-Use Failures in LLM AgentsrepoOpenDataBox/Workspace-Benchrepominghinmatthewlam/openbench
Related across the graph
reporuimalheiro/gradient-gardenreposuperlinked/sierepoclawwork-ai/ClawWorkpaperToolFailBench: Diagnosing Tool-Use Failures in LLM Agentsrepoopen-edge-platform/getirepoMoh4696/free-ai-modelsrepoSemiAnalysisAI/InferenceXpaperSurrogate Fidelity: When Can Open LLMs Explain Closed Ones?companyLattice LabsmodelAgentCore-8BtutorialEvaluate a model properlypaperCan Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Userepominghinmatthewlam/openbenchrepomodelscope/evalscoperepoOpenDataBox/Workspace-Benchrepoagent-toolspaperTool use without fine-tuning