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jeinlee1991
非线智能 NoneLinear - ReLE评测:中文AI大模型能力评测(持续更新):目前已囊括374个大模型,覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3.6-max、qwen3.6-plus、百川、讯飞星火、商汤senseChat…
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Explore the skilljeinlee1991
非线智能 NoneLinear - ReLE评测:中文AI大模型能力评测(持续更新):目前已囊括374个大模型,覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3.6-max、qwen3.6-plus、百川、讯飞星火、商汤senseChat…
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Explore the skilllangfuse
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK,…
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Explore the skillAgenta-AI
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
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Explore the skilltraceloop
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
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Explore the skillShubhamsaboo
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
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Explore the skillMintplex-Labs
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
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Explore the skillpathwaycom
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, Pos…
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Explore the skillXnhyacinth
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
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Explore the skilldatawhalechina
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Explore the skillmlabonne
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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Explore the skillMarker-Inc-Korea
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
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Explore the skillmishushakov
Turn any webpage into structured data using LLMs
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Explore the skillList of Permanent Free LLM API (API Keys)
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Explore the skillchangyeyu
🌟100+ 原创 LLM / RL 原理图📚,《大模型算法》作者巨献!💥(100+ LLM/RL Algorithm Maps )
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Explore the skillBeastByteAI
Seamlessly integrate LLMs into scikit-learn.
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Explore the skillllm-d
Achieve state of the art inference performance with modern accelerators on Kubernetes