Open-source tool for ML observability that runs in your notebook environment. Monitor and fine tune LLM, CV and Tabular Models.
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A web-hosted IDE where non-technical domain experts work with AI Engineers to build task-specific AI agents. We approach prompting as a new programming language rather than low/no-code blocks.
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A bilingual Chinese-English knowledge extraction model with knowledge graphs and natural language processing technologies.
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A programming language for LLM interaction with support for typed prompting, control flow, constraints, and tools.
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A paid product for detecting toxicity, hallucination, prompt injection, etc.
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A paid product for tracking model training and prompt engineering experiments.
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A paid product for testing and improving prompts.
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A paid product for building, comparing, and shipping language model apps.
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A Python library for validating outputs and retrying failures. Still in alpha, so expect sharp edges and bugs.
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MLflow: An open-source framework for the end-to-end machine learning lifecycle, helping developers track experiments, evaluate models/prompts, deploy models, and add observability with tracing.
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