In cryptography and computer science, a hash tree or Merkle tree is a tree in which every “leaf” node is labelled with the cryptographic hash of a data block, and every node that is not a leaf (called a branch, inner node, or inode) is labelled with the cryptographic hash of the labels of its […]
For more info check : https://developers.stellar.org/docs/build/guides/cli/contract-lifecycle Calling (invoking) a contract : py-stellar-base is a Python library for communicating with a Stellar Horizon server and Soroban-RPC server. It is used for building Stellar apps on Python. It supports Python 3.8+ as well as PyPy 3.8+.It provides: a networking layer API for Horizon endpoints. a networking layer […]
In this article we show how to leverage a Large Language Model and a Vector Database to search private data without touching the internet. Why worry? Well, for instance, 11% of data employees paste into ChatGPT is confidential! On premise AI for business is not as difficult as it may sound… This article will guide […]
Web Scraping requires specific tools and techniques, let’s look at our favourite one, ScrapeOps : “ScrapeOps provides a suite of web scraping tools that makes it easier to deploy, scheduling and monitor your web scrapers and data extraction feeds in production.” The need for data is relentless – more and more AI projects rely on […]
Introduction FastEmbed is a lightweight and fast Python library designed for generating high-quality text embeddings. FastEmbed supports a variety of popular text models and is continuously expanding to include more. At its core, FastEmbed utilizes the Flag Embedding model from the MTEB leaderboard, offering distinct “query” and “passage” prefixes for input text. This feature makes […]
Introduction In this guide, we will compare Rust and Python for asynchronous and multithreaded operations, particularly focusing on uploading data to a Qdrant vector search engine. We will evaluate how using Arc in Rust and AsyncQdrantClient in Python impacts performance. Imagine you get approached by a company to speed up their code and you improve […]
To begin with, when learning about ML/AI you may just use the model specified in the tutorial you’re doing, but later on you’ll want to research, test, and evaluate different models based on size, performance and write your code to suit. Let’s compare output using 2 different models that I used in a recent project […]
Webdock – Fast Cloud VPS Linux Hosting Introduction Let’s see how to create a text similarity search web app using Flask, a pre-trained BERT model, and FAISS for efficient similarity search! Section 1: Importing Libraries “First, we need to import all the necessary libraries. We’ll be using Flask to create our web application, Hugging Face’s […]
To use Ruff we need to consider the configuration for pyproject.toml with a focus on how to set it up for Ruff. Installation guide here What is pyproject.toml? pyproject.toml is a configuration file used by various Python tools to read project-specific settings. It is designed to provide a standardized way for specifying build and configuration […]
