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Articole: 10

  1. Geometric nearest neighbors processing

    (Python for Prediction)

    Introduction This document (notebook) presents a computational approach to identifying outliers in a set of multidimensional (geometric) points.

  2. Code Generation by DSL Examples

    (Python for Prediction)

    Introduction This document (notebook) discusses the Python package “DSLExamples”, [AAp1], which is a “data package” with examples of DSL commands translations to programming code.

  3. Chatnik: LLM Host in the Shell — Part 1: First Examples & Design Principles

    (Python for Prediction)

    Introduction “Chatnik” is a Python package that provides Command Line Interface (CLI) scripts for conversing with multiple, persistent Large Language Model (LLM) personas.

  4. Jupyter Chatbook Cheatsheet

    (Python for Prediction)

    Quick reference for the Python Jupyter extension “JupyterChatbook”.

  5. NLPTemplateEngine vignette

    (Python for Prediction)

    This blog post describes and exemplifies the Python package “NLPTemplateEngine”, [AAp1], which aims to create (nearly) executable code for various computational workflows.

  6. DSL examples with LangChain

    (Python for Prediction)

    Introduction This blog post (notebook) demonstrates the usage of the Python data package “DSLExamples”, [AAp1], with examples of Domain Specific Language (DSL) commands translations to programming code.

  7. LLMTextualAnswer usage examples

    (Python for Prediction)

    Introduction This blog post (notebook) demonstrates the usage of the Python package “LLMTextualAnswer”, [AAp1], which provides function(s) for finding sub-strings in texts that appear to be answers to given questions according to Large Language Models (LL…

  8. Rapid specification of regression workflows

    (Python for Prediction)

    … aka Regressionizer demo Introduction This blog post provides examples of specifying different regression workflows using the class Regressionizer of the Python package “Regressionizer”, [AAp1].

  9. Outlier identifiers

    (Python for Prediction)

    Introduction This blog post introduces and exemplifies the Python package “OutlierIdentifiers” which provides 1D outlier identifier functions.

  10. LLM помогает в обработке первого интервью Карлсона-Путина

    (Python for Prediction)

    Введение В этом блог посте (блокноте) мы предоставляем вспомогательные средства и вычислительные процессы для анализа первого интервью Карлсона-Путина, состоявшегося 9 февраля 2024 года.