Maxime Rivest 🧙♂️🦙🐧
@MaximeRivest
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Easy LLM context for all! ✨pip install attachments Inspired by: ggplot2, DSPy, claudette, dplyr, OpenWebUI! Follow for: API design, AI, and Data 🐍CC📜🛠 maker
Ottawa 🇨🇦
Joined January 2018
I am working on TemplateAdapter for a future PR to dspy. If you know/care about dspy's Adapters please let me know what you think of that syntax. With TemplateAdapter, you can define easily (re)create the XMLAdapter. Or, you don't like dspy default [[ ##, no problem, you can
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If you are interested in BAML and DSPy, especially their comparisons, you’ll likely find this useful:.
@anthonyronning_ Baml renders some code written in a .baml file into a structured format. One stength of them is how it presents the output to the LLM. Look at the string after "Answer in JSON using this schema:". DSPy also renders code into a prompt. In addition, DSPy integrates more naturally
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Litellm makes it easy to call any LLM provider by changing only one string. Mirascope and Smartfunc are convenient because you can decorate functions to turn them into AI calls. DSPy’s signatures, optimizers, adapters, and modules are powerful. Instructor is great for getting.
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Amazing, and with FunctAI is even easier to make Claide Code:
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Wow, FunctAI has all the power of DSPy while being as easy as Claudette to create stateful chats.
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Someone asked for a feature in FunctAI. That I unknowingly already had because I leverage dspy and dspy is goooood!. Here you can track all agent/llm traces
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Almost exactly one year ago, I started building projects with and for AI. The first ones I made were:. BayesianMachine – Making LLMs ask questions to form Bayesian beliefs in hard, fuzzy problems. Jupyter-Whisper – A notebook extension to chat directly in code cells with %%user.
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