Wednesday, 29 January 2025

Incorrect or contradicting labels/outputs are provided by the AI and Machine Learning DeepSeek Models

Incorrect or contradicting labels/outputs are provided by the AI and Machine Learning DeepSeek Models


DeepSeek is a Chinese artificial intelligence company that develops open-source large language models. Based in Hangzhou, Zhejiang, DeepSeek is owned and solely funded by Chinese hedge fund High-Flyer, whose co-founder, Liang Wenfeng, established the company in 2023 and serves as its CEO.

 

Use Case 1:

The below two features are used as input to DeepSeek.

  •  current US president
  • Current USA President

 In the Web Version,

ร˜ The first feature i.e., “current US president”, the below label is present by DeepSeek.

ร˜ The second feature i.e., “Current USA President”, the below label is

 present by DeepSeek.


Google Search Results:


The first feature i.e., “current US president” and second feature i.e., “Current USA President”, the below label/output are presented interchangeably:

As of my last update in October 2023, the current President of the United States is Joe Biden. He assumed office on January 20, 2021. For the most up-to-date information, please verify with a reliable news source.

OR

The server is busy. Please try again later.

Here the first feature i.e., “current US president”, the label/output which is present, is contradicting with the second feature i.e., “Current USA President”, the label/output which is present by Deepseek.

Summary:

For the simple features which are being queried, the labels/outputs are contradicting and, when validated with the Google search, those results are accurate and more additional & supporting information or data are provided. Hence, we can safely conclude that incorrect or contradicting labels/outputs are provided by the AI and Machine Learning Model DeepSeek which we have to cross check before arriving any conclusion by using AI for outcomes.


Friday, 17 January 2025

Captcha Automation Using Selenium 4 and Java 23

๐Ÿงช SELENIUM 4 • JAVA 23 • TEST AUTOMATION

๐Ÿค– CAPTCHA Automation Using Selenium 4 & Java 23

Explore a practical test automation demonstration using Selenium 4 and Java 23 in a controlled QA environment.

▶️ CAPTCHA AUTOMATION PLAYLIST

๐ŸŽฌ Watch the Complete Automation Series

Explore additional demonstrations covering CAPTCHA automation, Robot Framework, data-driven testing, Page Object Model, and automated testing techniques.

๐Ÿ” What This Demo Covers

This demonstration showcases an approach to CAPTCHA-related automation using Selenium 4 and Java 23 within a controlled test automation environment.

๐Ÿ› ️ Technology Stack

๐ŸŒ Selenium 4 ☕ Java 23 ๐Ÿงช Test Automation ๐Ÿ” Web Testing ⚡ Automation

๐Ÿš€ Demo Highlights

Selenium 4 Web Automation
Demonstrates browser automation concepts using the Selenium 4 framework.
Java 23 Automation
Uses modern Java development with Selenium for automated testing scenarios.
⚠️ Responsible Test Automation
CAPTCHA-related automation should be performed only in applications, environments, and test scenarios where you have explicit authorization. Use these techniques for QA, development, and controlled security testing.
๐ŸŒŸ

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๐Ÿค– Selenium 4 • ☕ Java 23 • ๐Ÿงช Test Automation
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