Deep Learning with Yacine on MSN

Build K-Nearest Neighbors from Scratch in Python – Step by Step Tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, coding process, and practical examples to help you understand how KNN works ...
techannouncer

How to Use a Python Visualizer to Debug and Understand Your Code Effectively

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...
TheServerSide

Create your first Python AWS Lambda function in minutes

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...
marktechpost

JSON Prompting for LLMs: A Practical Guide with Python Coding Examples

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...
GitHub

Running Python file in Conda environment opens flash terminal with transient output, unlike base environment

When running a Python file in a Conda environment created via conda create, the execution command is split into two steps: This maybe causes the output to appear in what seems like a separate, ...
GitHub

Python: Function tool output too large, redirect response to file

I'm currently using sk=1.29.0 on python with AzureAssistantAgents and models from OpenAi. In short, I’m trying to use a function_invocation_filter to handle cases where the output of a function is too ...
CIO Dive

Become a better prompter: How in-house counsel can improve AI output

In-house attorneys know that legal interns can be valuable collaborators on projects like first drafts, document reviews and research. They can give in-house counsel the bandwidth to focus on ...
IEEE

A Comprehensive Analysis of Bandwidth and Size for Four-Types of Series-Combined Transformer-Based Doherty Output Networks: Theory and Examples

Abstract: This paper presents theory-driven design guidelines for four types of series-combined transformer (SCT)-based Doherty output matching networks to maximize bandwidth (BW). Novel and intuitive ...