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Source channel @githubtrending · Post #14808 · Jun 8

#rust#ai#ai_engineering#anthropic#artificial_intelligence#deep_learning#genai#generative_ai#gpt#large_language_models#llama#llm#llmops#llms#machine_learning#ml#ml_engineering#mlops#openai#python#rust TensorZero is a free, open-source tool that helps you build and improve large language model (LLM) applications by using real-world data and feedback. It gives you one simple API to connect with all major LLM providers, collects data from your app’s use, and lets you easily test and improve prompts, models, and strategies. You can see how your LLMs perform, compare different options, and make them smarter, faster, and cheaper over time—all while keeping your data private and under your control. This means you get better results with less effort and cost, and your apps keep improving as you use them[1][2][3]. https://github.com/tensorzero/tensorzero

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djangoproject

@djangoproject · Post #435 · 09/07/2017, 01:47 PM

https://www.python.org/dev/peps/pep-0498/ #Interpolation # Python supports multiple ways to format text strings. # These include %-formatting, # str.format(), # and string.Template # The !s, !r, and !a conversions are not strictly required. # Because arbitrary expressions are allowed inside the #f_strings, # this code: »> a = 'some string' »> f'{a!r}' "'some string'" Is identical to: »> f'{repr(a)}' "'some string'" Similarly, !s can be replaced by calls to #str() and !a by calls to #ascii().

djangoproject

@djangoproject · Post #513 · 11/30/2017, 10:00 PM

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