Stanford DSPy: The framework for programming with foundation models

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  • dspy

    DSPy: The framework for programming—not prompting—foundation models

    • btw read a more official answer here:

    https://github.com/stanfordnlp/dspy#5a-dspy-vs-thin-wrappers...

  • EdgeChains

    EdgeChains.js Typescript/Javascript production-friendly Generative AI. Based on Jsonnet. Works anywhere that Webassembly does. Prompts live declaratively & "outside code in config". Kubernetes & edge friendly. Compatible with OpenAI GPT, Gemini, Llama2, Anthropic, Mistral and others

    • would love your thoughts on this as well - https://github.com/arakoodev/edgechains

    got frustrated in the same way with "Black Box Prompting - every library hides prompts/chains in layers of libraries...while it should have been declarative.

    EdgeChains - allows u to specify ur prompt and chain in jsonnet. This why i think Generative AI needs declarative orchestration and not previous generations. https://github.com/arakoodev/edgechains#why-do-you-need-decl...

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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