Pmdarima (originally pyramid-arima , for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time series analysis capabilities. This includes:

• The equivalent of R's auto.arima functionality


• A collection of statistical tests of stationarity and seasonality


• Time series utilities, such as differencing and inverse

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Overview

AIConfig saves prompts, models and model parameters as source control friendly configs. This allows you to iterate on prompts and model parameters separately from your application code .

1. Prompts as configs : a standardized JSON format to store generative AI model settings, prompt inputs/outputs, and flexible metadata.


2. Model-agnostic SDK :

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In 2019, OpenAI announced GPT-2 with this post: https://t.co/jjP8IXmu8D Today (~5 years later) you can train your own for ~$672, running on one 8XH100 GPU node for 24 hours. Our latest llm.c post gives the walkthrough in some detail: https://t.co/XjLWE2P0Hp Incredibly,... See more

Cohere introduced Embed v3, an advanced model for generating document embeddings, boasting top performance on a few benchmarks. It excels in matching document topics to queries and content quality, improving search applications and retrieval-augmentation generation (RAG) systems. The new version offers models with 1024 or 384 dimensions, supports o

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