Beast code in Giters

Ilya Beketov's repositories

dotfiles_old

.files, including ~/.osx — sensible hacker defaults for OS X

Language:VimLMIT100

rag_tunning

Test implementation of the Retrieval-Augmented Generation (RAG) for ChatGPT

Language:Jupyter NotebookMIT100

awesome-data-catalogs

📙 Awesome Data Catalogs and Observability Platforms.

MIT000

awesome-rest

A collaborative list of great resources about RESTful API architecture, development, test, and performance

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C4-PlantUML

C4-PlantUML combines the benefits of PlantUML and the C4 model for providing a simple way of describing and communicate software architectures

MIT010

This sample has the full End2End process of creating RAG application with Prompt Flow and AI Studio. It includes GPT 3.5 Turbo LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

Language:Jupyter NotebookMIT000

currency_parser

020

dbt-tutorial

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dotfiles

:round_pushpin: My dotfiles for macOS using Fish/Zsh, Neovim, and Tmux

Language:Vim ScriptMIT020

DSND_capstone

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DSND_Term2

Contains files related to content and project of DSND Term 2

Language:Jupyter NotebookMIT010

EDS_2

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flask_docker

Simple project for dockerized flask app

Language:Python020

Generative-AI-with-LLMs

In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

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