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Python for Prediction

Python compared to Mathematica and R.

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Geometric nearest neighbors processing

This document presents a computational approach to identifying outliers in a set of multidimensional (geometric) points. The method discussed and demonstrated is based on nearest-neighbor statistics. Related workflow extensions, such as visualization and classification, are also shown.

Code Generation by DSL Examples

This document discusses the Python package "DSLExamples", which is a "data package" with examples of DSL commands translations to programming code. The DSL examples are suitable for LLM few-shot training.

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

"Chatnik" is a Python package that provides Command Line Interface (CLI) scripts for conversing with multiple, persistent Large Language Model (LLM) personas. Files of the host Operating System (OS) are used to maintain persistence.

Jupyter Chatbook Cheatsheet

Quick reference for the Python Jupyter extension "JupyterChatbook".

NLPTemplateEngine vignette

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

DSL examples with LangChain

This blog post demonstrates the usage of the Python data package "DSLExamples", [AAp1], with examples of Domain Specific Language (DSL) commands translations to programming code. The provided DSL examples are suitable for LLM few-shot training. LangChain can be used to create translation pipelines utilizing those examples. The utilization of such LLM-translation pipelines is exemplified below.

LLMTextualAnswer usage examples

This blog post demonstrates the usage of the Python package "LLMTextualAnswer", which provides function(s) for finding textual answers via LLMs.

Rapid specification of regression workflows

This blog post provides examples of specifying different regression workflows using the class Regressionizer of the Python package "Regressionizer".

Outlier identifiers

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

LLM помогает в обработке первого интервью Карлсона-Путина

В этом блог посте мы предоставляем вспомогательные средства и вычислительные процессы для анализа первого интервью Карлсона-Путина, состоявшегося 9 февраля 2024 года. В основном мы используем большие языковые модели (LLM). Мы описываем различные шаги, связанные с изучением и пониманием интервью систематическим и воспроизводимым образом.