teleren/devto huggingface dataset:
News: Deepfake of a Popular Blogger Used to Sell Counterfeit Brand Clothing
Tags: news, ai, machinelearning
Published: 2024-05-08 08:44:17

## What happened?

In her video, Blogilates tells her subscribers that someone decided to steal her brand-designed skorts, but that someone didn’t even try to create real ad videos or photos. They simply took her ad videos and replaced her face. The results are shocking!

![Real vs Fake face](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/if8wyus6lkocy232c6xr.png)

The new face looks real, and even some bloggers bought that skort from that fake Amazon shop!

![Real vs Fake face](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/hqb51wlf6soa9boljcfm.png)

## How to protect your videos on TikTok from deepfake manipulation

Since we're experts in the facial recognitino technology and biometrics, here are some tips on how to protect your videos on TikTok from deepfake manipulation.

Unfortunately, there's no foolproof way to completely protect your videos from deepfakes on TikTok (or any platform for that matter). Deepfake technology is constantly evolving, making it a challenging situation. However, here are some steps you can take to make it harder for someone to create a deepfake of you:

- **Enable privacy settings**. TikTok offers various privacy settings that allow users to control who can view, download, and interact with their videos. By adjusting these settings to limit access to your content, you can reduce the likelihood of your videos being targeted for deepfake manipulation.
- **Watermark your content**. Adding a visible watermark, such as your username or a unique identifier, to your TikTok videos can deter potential deepfake creators from using your content without permission. Watermarks serve as a form of digital signature, making it easier to identify the original source of the video.
- **Monitor your online presence**. Stay vigilant and regularly monitor your online presence to identify any unauthorized use of your videos. Use reverse image search tools or specialized deepfake detection software to track instances of your content being manipulated or repurposed without consent.
- **Educate yourself and others**. Familiarize yourself with the characteristics of deepfake videos and educate your followers about the risks associated with them. By raising awareness and promoting media literacy, you can help prevent the spread of deepfake content on TikTok and other social media platforms.
- **Report suspicious activity**. If you encounter a deepfake video or suspect that your content has been manipulated, report it to TikTok immediately. The platform has mechanisms in place to address violations of its community guidelines, including the spread of deceptive or harmful content.

Learn more here: [News: Deepfake of a Popular Blogger Used to Sell Counterfeit Brand Clothing](https://luxand.cloud/face-recognition-blog/news-deepfake-of-a-popular-blogger-used-to-sell-counterfeit-brand-clothing/?utm_source=devto&utm_medium=news-deepfake-of-a-popular-blogger-used-to-sell-counterfeit-brand-clothing)
How to creat a contextual menu with Tailwind CSS and Alpinejs
Tags: tailwindcss, tutorial, alpine, webdev
Published: 2024-05-08 08:43:09

Let's hack the right click event and create a contextual menu with Tailwind CSS and Alpinejs. We'll use the `@contextmenu.prevent` directive to prevent the browser from opening the default contextual menu.

[Read the article, See it live and get the code](https://lexingtonthemes.com/tutorials/how-to-create-a-contextual-menu-with-tailwind-css-and-alpinejs/)
斎藤 隆（Saito takashi）：投資成功への知識と戦略
Published: 2024-05-08 08:40:54

斎藤 隆（Saito takashi）
1965年12月28日、川崎市生まれ。
1988年に名古屋大学経済学部を卒業し、アメリカに留学。
1991年ニューヨーク大学でファイナンスの修士号を取得し、1993年BNY Mellon Investment Managementジュニアアナリストとして勤務しました。
1995年にニューヨーク大学で博士号を取得し、1998年にVanguard Groupに投資アナリストとして入社しました。
2008年にVanguard Groupの投資運用担当副ディレクターに就任。
2014年にはバンガードグループのアジア太平洋地域投資運用ディレクターに就任し、アジア太平洋地域のM&A、エクイティファンド運用、ブロックチェーン投資などで高い業績を上げております。
2021年にヴァンガードグループを退社し、コインベースに投資戦略アナリストとして入社しました。
2023年初頭にコインベースを退社し、アクアプリングインベストメントグループに入社し、現在はアクアプリングインベストメントグループのグローバル首席アナリスト兼アクアプリングインベストメントアカデミーの学長を務めております。

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/y5uk56ih7ns867r29elx.jpg)
投資コンセプトです。
斉藤先生の投資哲学は、豊富で多様な経験を元にしたものです。市場データの分析や将来のトレンド予測よりも、経済の基本原理や人間の行動心理への深い理解が投資の成功の中心にあると彼は信じています。

特に、投資の多様化とリスク管理の必要性を強調し、異なる市場や資産クラスに分散投資することで、特定の市場や投資銘柄のリスクを軽減し、資産の保護と収益の増大を実現することを目指しています。

斉藤先生は投資の長期性、継続性にもこだわりを持っており、絶え間ない市場研究、好機を辛抱強く待つこと、そして長期的な目標を守ることが、投資を増やす鍵になると考えています。

また、技術革新とそれが市場に与える影響、特にブロックチェーンやデジタル通貨への投資の可能性にも強い関心を持っています。

斉藤先生はこれらの新技術を新しい投資チャンスと伝統的な金融と投資モデルの転換の重要な働力にしています。

アクアプレイングインベストメントアカデミーでは、斉藤先生がこれらの理念を教育と戦略に取り入れ、投資家が投資成功のカギをつかみ、変化する市場環境の中で賢明な意思決定を下すように導くことを目指しております。

斉藤先生はグローバルな視野を持ち、新興技術を理解し、応用できる投資家を育成し、世界の金融市場で差別化することに力を入れております。

投資の成果
30年の投資経験を経て、「トレンド投資理論」「バウンディング・ポートフォリオ」「BOLL戦法」「斉藤キャリースリー法」などの完全な取引システムができあがりました。

バンガード・グループに在籍していたときは、「トレンド・インベストメント理論」を用いて、顧客へ年間1200%の収益をサポートしました。
「ボーア戦法」を使って、デジタル通貨市場で顧客が25倍の利益を上げられるようにしました。

投資の格言
知識は運命を変える、投資は富を創造する！
投資を学んで、知識と財産で私たちの人生を豊かにしましょう！
Stack Overflow and OpenAI partner to empower developers
Tags: webdev, programming, ai, news
Published: 2024-05-08 08:35:01

Stack Overflow and OpenAI have announced a partnership that aims to provide developers with accurate and vetted solutions by integrating Stack Overflow’s OverflowAPI and validated technical knowledge into OpenAI’s products, including ChatGPT.

Brad Lightcap, COO at OpenAI, said: “Learning from as many languages, cultures, subjects, and industries as possible ensures that our models can serve everyone. The developer community is particularly important to both of us. Our deep partnership with Stack Overflow will help us enhance the user and developer experience on both our platforms.”

As part of the partnership, OpenAI will utilise Stack Overflow’s OverflowAPI product and collaborate with Stack Overflow to improve model performance for developers who use their products. This integration will help OpenAI enhance its AI models using enhanced content and feedback from the Stack Overflow community.

Additionally, OpenAI will surface validated technical knowledge from Stack Overflow directly in ChatGPT, providing users with easy access to trusted, attributed, accurate, and highly technical knowledge and code backed by the millions of developers who have contributed to the Stack Overflow platform for 15 years. Well, in theory.
Furthermore, Stack Overflow will utilise OpenAI models as part of their development of OverflowAI and work with OpenAI to leverage insights from internal testing to maximise the performance of OpenAI models.

Prashanth Chandrasekar, CEO of Stack Overflow, commented: “Stack Overflow is the world’s largest developer community, with more than 59 million questions and answers. Through this industry-leading partnership with OpenAI, we strive to redefine the developer experience, fostering efficiency and collaboration through the power of community, best-in-class data, and AI experiences.

“Our goal with OverflowAPI, and our work to advance the era of socially responsible AI, is to set new standards with vetted, trusted, and accurate data that will be the foundation on which technology solutions are built and delivered to our user.”

The first set of new integrations and capabilities between Stack Overflow and OpenAI will be available in the first half of 2024. Beyond this, OpenAI’s partnership with Stack Overflow will enable Stack Overflow to continue to reinvest in community-driven features.
There are more than 1000 people we help profit from sports betting
Published: 2024-05-08 08:32:33

Hello, we are Inbet. Our Sports Content Platform stands out for its cutting-edge AI-Powered Fair Odds Algorithm, alongside an extensive collection of exclusive statistics spanning over 300 competitions. Additionally, we facilitate member-versus-member contests to enhance betting outcomes for all.

Within the Members Area, you'll unlock access to our AI-Powered Fair Odds Algorithm, comprehensive Football Statistics, a rich Betting Academy offering over 20 hours of content, Exclusive Insights, a dynamic Tipster League, expert Betting Tips, and much more.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/rtycf35box054sufsb5h.jpg)
Can I Customize CRM Software to Fit My Business Needs?
Published: 2024-05-08 08:30:24

Absolutely! In today’s dynamic business environment, customization is the key to getting the most out of your CRM software. Our nTireCRM solution is designed to be flexible, allowing you to tailor it to your unique business needs and workflows. Here’s how we ensure that our CRM can adapt to your requirements


Flexible Workflows
With our nTireCRM, you can create custom workflows that mirror your business processes. Whether you’re managing sales pipelines, customer service tickets, or marketing campaigns, our software lets you design workflows that align with your operations.

Custom Data Fields
Not every business collects the same data. Our nTireCRM allows you to create custom fields to capture the information that’s important to you. Whether it’s a unique customer identifier, industry-specific data, or additional contact information, you can easily add and manage custom fields.

Personalized Dashboards
Get a complete view of your business with personalized dashboards. You can create custom reports and visualizations to track the metrics that matter most to you. Whether it’s sales performance, customer engagement, or support response times, our nTireCRM provides the insights you need.

Integration with Other Tools
Your business likely uses a variety of tools and software. Our nTireCRM is designed to integrate seamlessly with other applications, such as email marketing platforms, accounting software, and project management tools. This integration capability ensures a smooth workflow across your entire business ecosystem.

Role-Based Access
We understand that different team members have different roles. Our nTireCRM allows you to customize access levels based on roles, ensuring that employees only have access to the data they need. This enhances security and streamlines collaboration.

Industry-Specific Customization
Whether you’re in healthcare, real estate, retail, or another industry, ournTireCRMcan be customized to meet your specific requirements. We offer industry-specific templates and configurations to help you get started quickly.

Dedicated Support and Training
Customization can seem daunting, but our dedicated support team is here to help. We offer comprehensive training and support to ensure that you can fully leverage the customization features of ournTireCRM. From initial setup to ongoing adjustments, we’re with you every step of the way.

Visite : https://www.sunsmartglobal.com/customer-relationship-management-software-dubai-qatar-uae-usa-london/
https://www.sunsmart.co.in/product/customer-relationship-management-software-india-chennai-mumbai-bangalore-delhi.html
Story Of A Beginner
Tags: webdev, javascript, beginners, todolist
Published: 2024-05-08 08:30:20

_**Last year, I started learning web development. Initially, I found HTML and CSS quite easy and fascinating. I created a Netflix clone <a target="_blank" href="https://github.com/rahulpaul127/NETFLIX-Clone">Netflix Clone Repository</a> which boosted my confidence and made me feel comfortable with coding.**_

_**After that, I delved into JavaScript. Everything was going well, and I was excited about creating a project. I started by making small games and projects like Snake, Water And Gun, Guess the Number and Digital Clock etc (you can see everything on <a target="_blank" href="https://replit.com/@rahulpaul127">My Replit Account**_

_Feeling confident, I decided to tackle a larger JavaScript project. I thought everyone makes a to-do list, so I wanted to do something different and chose to make a Google Tasksboard clone. However, once I started, I quickly realized it wasn't as straightforward as I thought. Since I couldn't commit full-time to coding, I could only devote a little time every day. The more I worked on it, the more I understood that this was a much bigger project than I could handle at the moment. It became clear that I needed more time and practice with smaller projects to build up to something larger._

_In retrospect, I realize it might have been a mistake to dive into such a complex project right away. However, I've learned a lot from this experience, and I'm determined to try again in the future when my skills have grown and I've put in more hard work and practice._

> **Here's the link of this project
>[Google-TasksBoard-Clone](https://github.com/rahulpaul127/Google-TasksBoard-Clone)**
Python 기초_숫자
Tags: python
Published: 2024-05-08 08:27:45

1. 문자 split

```
# 문자2를 기준으로 문자1을 자른다

text= input('날짜 입력 yyyy.mm.dd')
y,m,d =text.split('.')

y= int(y)
m= int(m)
d= int(d)

print(y,m,d,y+m+d)

```

2. map(함수, 집합형태 - iterable객체)
리스트 = []

```
a,b,c = map(int,['1','2','3'])
print(a,b,c,a+b+c)
```

```
a,b,c = map(int,input('a b c 값을 입력하시오').split())

print(a,b,c,a+b+c)
```

3. 숫자 출력하기
숫자와 문자가 섞여있는 형태

```
x=5
y=3
```
```
# 숫자와 문자 함께 출력, 콤마 & 형변환
print(x,'과','y','의 합은',x+y,'이다.') # 3 과 5 의 합은 8 이다.

print(str(x)+'과 '+str(y)+'의 합은 '+str(x+y)+'이다.') # 3과 5의 합은 8 이다.
```

```
# 숫자와 문자 함께 출력, end = 
print(x,end='')
print('과 ',end='')
print(y,end='')
print('의 합은 ',end='')
print(x+y,end='')
print('이다.',end='')
#3과 5의 합은 8 이다.
```

```
#숫자와 문자 함께 출력, format
print('{}과 {}의 합은 {}이다.', format(x,y,x+y))#3과 5의 합은 8 이다.
```
4. 연산자 우선 순위

산술 연산자 > 관계 연산자 > 논리 연산자

a ** b 지수

a * b
a / b
a // b
a % b

a + b
a - b

<

<=

'>'

'>='

==

!=

not x

x and y

x or y

ex) 2*5>2+5 and not 3*3> 10 -> true

_참조 : 소놀코딩_
"Inside DuckDB" series articles
Tags: duckdb, database, programming, cpp
Published: 2024-05-08 08:27:00

Recently, I’ve been interested in DuckDB’s code. DuckDB is a C++ open-source project, great for beginners to learn, especially those in the database industry.
I will share knowledge about DuckDB kernel-Pipeline


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vrdq5ep1kvuret841dfa.png)
[Inside DuckDB: Deep Dive into DuckDB MetaPipeline](https://levelup.gitconnected.com/inside-duckdb-deep-dive-into-duckdb-metapipeline-c9c3c891c2ad)


[Inside DuckDB: A Comprehensive Guide to Debugging Multi-threading Pipeline with lldb/gdb](https://levelup.gitconnected.com/inside-duckdb-a-comprehensive-guide-to-debugging-multi-threading-pipeline-with-lldb-gdb-fa6fe433f3ee)
Explore Cloud Services
Tags: technology
Published: 2024-05-08 08:12:27

SLK helps you optimize Cloud adoption with secure solutions for scalable, resilient operations resulting in seamless success.

SLK cuts through the complexity, offering strategic migration that curbs costs and empowers your cloud journey. Partner with us for seamless, secure cloud adoption and unlock a world of scalability and operational resilience.

Visit - [Cloud Managed Services
](https://www.slksoftware.com/services/digital-enterprise/cloudification/)
Advantages of a HashSet over a List in C#
Tags: csharp, dotnet, learning, development
Published: 2024-05-08 08:07:16

**Efficiency and Search Performance**:
A HashSet is optimized for searching and provides faster lookup times compared to a List.
When you need to check whether an element exists in the collection, a HashSet performs better due to its hash-based approach.
The time complexity for adding, removing, and searching in a HashSet is O(1) (constant time), making it efficient even with large amounts of data1.
**Uniqueness**:
A HashSet ensures that each element appears only once. It automatically handles duplicates by rejecting them.
In contrast, a List allows duplicate elements, and you need to manually check for duplicates before adding an item.
**Set Operations**:
A HashSet supports set operations like union, intersection, and set difference.
For example, you can combine two HashSets using UnionWith, find common elements with IntersectWith, or remove elements with ExceptWith2.
No Indexing:
Unlike a List, a HashSet does not provide indexing capabilities. You cannot access elements by index.
If you need to retrieve elements by position, a List is more suitable.
Ordering:
A List maintains the order of elements as they are inserted.
A HashSet is an unordered collection and does not guarantee any specific sequence3.
**In summary**, use a HashSet when you prioritize uniqueness, fast lookups, and set operations. If you need indexing or maintain insertion order, consider using a List. Keep in mind that the choice depends on your specific use case and requirements!
In vchart, how do I set the legend not to follow the gradient color and draw a rounded rectangle legend?
Published: 2024-05-08 07:50:18

# Question Title
In vchart charts, how do I set the legend not to follow the gradient color and draw a rounded rectangle legend?

# Question Description
I am using vchart to make charts and have encountered two issues that I would like to ask everyone. My area chart style has been adjusted to a gradient color, but I don't want the legend color to follow the gradient of the area chart, how should I set it?

In addition, I did not find in the information that the legend shape provides a rounded rectangle option, is there any other plan to implement the drawing of rounded rectangles?

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/qtkhv452in6zl6cw2eky.png)


# Solution
Hello, these two problems can be solved through configuration.

If you don't want the legend color to follow the gradient of the area chart, you can change the color of the main mark of the series by configuring the seriesMark.
seriesMark: 'point',
As for how to draw legends of rounded rectangles, you can set the symbolType graphic attribute of legend graphics by configuring it. The specific setting content is as follows:
`item:{
shape:{
style:{
symbolType:"M 462 282 c 0 99.405 -80.595 180 -180 180 h -540 c -99.405 0 -180 -80.595 -180 -180 v -540 c 0 -99.405 80.595 -180 180 -180 h 540 c 99.405 0 180 80.595 180 180 v 540 z"
}
}
}`

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/aoa101hzikmioht3vvo3.png)


# Result Show
Online demo: https://codesandbox.io/p/sandbox/line-chart-hover-forked-t74cvw?file=%2Fsrc%2Findex.ts%3A66%2C13

# Related Documentation
- VChart documentation symbolType: https://visactor.bytedance.net/vchart/option/barChart-legends-discrete#item.shape.style.symbolType
- VChart documentation seriesMark: https://visactor.bytedance.net/vchart/option/lineChart#seriesMark('point'|'line')%20=%20'line'
Understand HashSet via Copilot
Tags: csharp, webdev, learning, githubcopilot
Published: 2024-05-08 07:47:13

I asked Copilot to help me understand Hashset, sharing with you=>

A HashSet in C# is a powerful data structure that represents a set of values. Let me break it down for you:

Definition:
A HashSet<T> is part of the System.Collections.Generic namespace in C#.
It’s an unordered collection that contains unique elements.
Unlike other collection types, a HashSet uses a hash table for storage, allowing for fast retrieval of elements.
It does not maintain insertion order and cannot access elements by index.
Key Features:
Uniqueness: A HashSet ensures that each element appears only once.
Performance: Adding and removing elements has constant time complexity.
Set Operations: It implements mathematical set operations (e.g., union, intersection, etc.).
Usage Example:
C#

// Create two HashSet<int> objects
HashSet<int> evenNumbers = new HashSet<int>();
HashSet<int> oddNumbers = new HashSet<int>();

// Populate evenNumbers with even numbers
for (int i = 0; i < 5; i++)
{
    evenNumbers.Add(i * 2);
}

// Call UnionWith to merge oddNumbers into evenNumbers
evenNumbers.UnionWith(oddNumbers);
AI-generated code. Review and use carefully. More info on FAQ.
You can find more information about the HashSet<T> class in the official Microsoft Learn documentation or explore additional resources like this comprehensive guide or this tutorial. Happy coding! 🚀
My First SAAS Product
Published: 2024-05-08 07:34:09

Hey there, I'm Altar, a full-stack developer, and I'm excited to introduce my very first saas product:

🤖 Essay Wasp 🤖

Little Story Behind it 😮:

It all started when I found myself relying heavily on ChatGPT while preparing for an English exam, particularly for refining my writing sections. Recognizing the room for improvement in achieving my desired results, I pondered creating a project centered around the technologies I wanted to delve deeper into 🧐. That's when the concept of an essay evaluator struck me 😱 , and voilà! Essay Wasp came to life 🥳.

Features:

-Exam simulation tailored for the writing section of English exams. 👀
-Random AI-generated topics for essays. 👀
-Essay grading, general feedback, and suggestions for improvement. 👀
-Saving entire essay session data for future comparisons. 👀

Thank you very much if you support my amateur and small but sweet application. There will probably be some bugs or problems. If you have any feedback I will review it carefully 🥸.

See yaaaa! 🫠🫠🫠
Transpile a SQL Script into PySpark DataFrame API equivalent code
Published: 2024-05-08 07:27:23

Input `SQL` Script (assume any dialect) :

```
SELECT b.se10,
       b.se3,
       b.se_aggrtr_indctr,
       b.key_swipe_ind
FROM
  (SELECT se10,
          se3,
          se_aggrtr_indctr,
          ROW_NUMBER() OVER (PARTITION BY SE10
                             ORDER BY se_aggrtr_indctr DESC) AS rn,
          key_swipe_ind
   FROM fraud_details_data_whole
   GROUP BY se10,
            se3,
            se_aggrtr_indctr ,
            key_swipe_ind) b
WHERE b.rn<2
```

Output `PySpark` Code using `DataFrame` API :

```
from pyspark.sql import SparkSession
from pyspark.sql.window import Window
from pyspark.sql.functions import row_number

# Create a SparkSession
spark = SparkSession.builder \
    .appName("TranspileSQLExample") \
    .getOrCreate()

# Sample data (replace with your actual DataFrame)
data = [
    ("se10_value1", "se3_value1", "aggrtr_value1", "swipe_value1"),
    ("se10_value1", "se3_value2", "aggrtr_value2", "swipe_value2"),
    ("se10_value2", "se3_value3", "aggrtr_value3", "swipe_value3"),
    ("se10_value2", "se3_value4", "aggrtr_value4", "swipe_value4"),
    ("se10_value3", "se3_value5", "aggrtr_value5", "swipe_value5"),
    ("se10_value3", "se3_value6", "aggrtr_value6", "swipe_value6")
]

# Create DataFrame
fraud_details_data_whole = spark.createDataFrame(data, ["se10", "se3", "se_aggrtr_indctr", "key_swipe_ind"])

# Define Window specification for row_number() function
windowSpec = Window.partitionBy("se10").orderBy(fraud_details_data_whole["se_aggrtr_indctr"].desc())

# Add row number column
fraud_details_data_whole = fraud_details_data_whole.withColumn("rn", row_number().over(windowSpec))

# Filter rows where rn < 2
result_df = fraud_details_data_whole.filter("rn < 2")

# Select required columns
result_df = result_df.select("se10", "se3", "se_aggrtr_indctr", "key_swipe_ind")

# Show the result DataFrame
result_df.show()
```

Is there any way to `translate` the above `Sql` Query into its equivalent `PySpark` DataFrame API code? The result must be equal when we execute `Sql` Script and its transpiled `PySpark` code separately. 
Please suggest