teleren/devto huggingface dataset:
Exploring Deepfakes By Bryan Lyon And Matt Tora [Book Review]
Tags: deeplearning, deepfakes, books, machinelearning
Published: 2023-09-03 18:29:34

Introduction
In this comprehensive book review, we delve into “Exploring Deepfakes: A Comprehensive Guide” by Bryan Lyon and Matt Tora. This groundbreaking work takes readers on a captivating journey into the world of deepfake technology, face replacement, and generative AI. We’ll explore the key features, strengths, and areas for improvement.

Book Summary
“Exploring Deepfakes” is a guide that empowers readers to understand, create, and ethically apply deepfake technology. With a focus on creativity and ethics, the book offers a detailed exploration of deep fake concepts, the workflow involved in creating deepfakes, and their potential applications. The authors expertly navigate the complex realm of deepfakes, providing insightful explanations and practical guidance for both beginners and experienced practitioners.

The original content of this post is on my personal blog.Continue reading [here](https://thecontentfarm.net/exploring-deepfakes-by-bryan-lyon-and-matt-tora/).
Building Your First Generative AI Model: Things You Must Know
Tags: generativeai, ai, machinelearning, deeplearning
Published: 2023-09-03 18:26:39

When you delve into the exciting world of machine learning, you’ll come across the term “Generative AI Models.” These models have gained immense popularity due to their ability to create new data that resembles the original dataset, making them ideal for various creative tasks like image synthesis, text generation, and more.

In this step-by-step tutorial, we’ll guide you through building your first Generative AI Model using popular frameworks like TensorFlow and PyTorch.

Setting up the Environment
Before we dive into the technicalities, it’s essential to set up your environment correctly. Ensure you have the required libraries and frameworks installed to proceed with ease.

In this tutorial, we’ll focus on using either TensorFlow or PyTorch, depending on your preference. Additionally, if you have access to a GPU, configuring GPU support can significantly accelerate your model training process.

Understanding the Basics of Generative Models
To embark on your Generative AI journey, it’s crucial to understand some fundamental concepts. Supervised and unsupervised learning are two primary learning paradigms, with generative models falling under the unsupervised category.

Moreover, we’ll explore the difference between discriminative and generative models, along with an overview of various Generative AI Model types, such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).

Building a Simple Generative AI Model (GAN)
Let’s get hands-on! In this section, we’ll walk you through the step-by-step process of building a basic Generative Adversarial Network (GAN). The GAN consists of two neural networks, the generator, and the discriminator.

The generator generates synthetic data, while the discriminator tries to distinguish between real and fake data. The competition between these two networks helps improve the overall model’s performance.

Preparing the Dataset
Before we dive into coding, we need a dataset to work with. For simplicity, let’s consider a dataset of images. You’ll need to source and preprocess the data, ensuring it’s in a suitable format for your GAN.

The original content of this post is on my personal blog.Continue reading [here](https://thecontentfarm.net/building-your-first-generative-ai-model/).
The Artificial Intelligence and Generative AI Bible By Alger Fraley (Book Review)
Tags: generativeai, machinelearning, ai
Published: 2023-09-03 18:17:52

Introduction
In the rapidly evolving landscape of artificial intelligence (AI), understanding the fundamentals and exploring advanced techniques can be a daunting task.

The Artificial Intelligence and Generative AI Bible by Alger Fraley, a comprehensive guide that promises to take readers on a transformative journey through the world of AI and Generative AI. With a wealth of information covering AI basics, deep learning, natural language processing (NLP), generative AI, ethics, and more, this book aims to empower readers to harness the power of AI for unprecedented breakthroughs.

Book Summary
The Artificial Intelligence and Generative AI Bible is a 5-in-1 guide that encompasses a wide range of topics related to AI. From providing insights into AI basics to delving into advanced concepts like Generative Adversarial Networks (GANs) and human-AI collaboration in creative AI, the book offers a holistic approach to AI education. It covers real-world case studies, practical applications of AI across various industries, and ethical considerations surrounding the use of AI technologies.

The original content is this post is on my personal blog.Continue reading [here](https://thecontentfarm.net/the-artificial-intelligence-and-generative-ai-bible-by-alger-fraley-book-review/)
What Are The Benefits of Generative AI Models? (And Use Cases)
Tags: generativeai, machinelearning, ai, computerscience
Published: 2023-09-03 18:16:16

Generative AI models have taken the world by storm, revolutionizing various industries and transforming the way we interact with technology.

In this comprehensive article, we will explore the multitude of advantages offered by generative AI models, showcasing real-world use cases and their impact on industries like healthcare, gaming, content creation, and more.

From enhancing training and data generation to empowering creativity in art and design, we’ll delve into how these cutting-edge models are driving innovation and solving complex problems.

Enhancing Training and Data Generation
Synthetic data generation and data augmentation are powerful techniques that have gained immense popularity in the machine learning domain. Generative AI models play a crucial role in facilitating these processes, leading to several benefits for higher-ranking blog content.

Synthetic Data Generation for Improved Training
Generative AI models enable the creation of synthetic data that closely resemble real-world samples. This approach is especially valuable in scenarios where obtaining large and diverse datasets is challenging. For instance, in medical imaging, where privacy concerns limit data availability, generative AI can generate synthetic medical images that aid in training robust models for accurate diagnosis and treatment planning.

The original content of this post is on my blog.Continue reading [here](https://thecontentfarm.net/benefits-of-generative-ai-models/)
How to Use Tailwind SVG Icons in Web Development?
Tags: tailwindcss, icons, react, webdev
Published: 2023-09-03 18:11:45

Are you a web developer looking to streamline your icon integration process and enhance your web projects with stunning visuals? Look no further! Tailwind SVG Icons are the perfect solution for you. We'll explore how Tailwind Icons, an exciting project born from the popularity of the Tailwind CSS framework, can simplify your web development journey.

### Follow these steps to generate customized Tailwind SVG Icons.


1. Visit TailwindTap's Website: [Tailwind SVG Icons](https://www.tailwindtap.com/resources/icons)

2. Search for your Desired SVG Icon.

3. Choose your SVG Icon for Customization.

4. Customize the selected SVG Icon Size, Color, Direction and Shadow. 

5. Copy of SVG to be used in your Project.
 
#### Read more details on [How to Use Tailwind Icons](https://www.tailwindtap.com/blog/tailwind-icons-free-svg-download).


TailwindTap icons are visually appealing and lightweight, making them valuable to any website or application. Whether you're a seasoned web developer or just starting out, Tailwind Icons simplifies the process of adding stylish icons to your projects.


Link : [Generate Customized Tailwind Icons - Free SVG Download!](https://www.tailwindtap.com/blog/tailwind-icons-free-svg-download)
What Are The Applications of Generative AI?
Tags: generativeai, machinelearning, ai, computerscience
Published: 2023-09-03 18:11:10

Generative AI has rapidly emerged as one of the most captivating fields in machine learning. At its core, it involves teaching machines to create data that resembles real-world examples they have been trained on.

This remarkable ability has found extensive applications in multiple sectors, leading to transformative innovations that were previously unimaginable.

In this article, we will take a deep dive into the diverse and exciting applications of generative AI across various domains. From crafting stunning images to revolutionizing drug discovery, generative models have permeated industries, redefining possibilities and pushing the boundaries of synthetic creativity.

Image Synthesis: Painting with Pixels
The magic of generative AI unfolds vividly in image synthesis. Among the most prominent techniques lies the realm of Generative Adversarial Networks (GANs), where a generator competes against a discriminator to create images that are incredibly lifelike. This technology has found a profound impact in various domains.

GANs in Art and Creative Design
GANs have become artists’ muses, collaborating with human creators to produce mesmerizing art pieces. These AI-generated artworks have even found their way into galleries and auctions, blurring the lines between human and machine creativity.

The original content of this post is on my personal blog.Continue reading [here](https://thecontentfarm.net/applications-of-generative-ai/)
Generative Deep Learning Book Review by David Foster
Tags: generativeai, machinelearning, books, deeplearning
Published: 2023-09-03 18:08:44

Introduction
Generative Deep Learning by David Foster is a captivating book that takes readers on a journey into the world of generative AI, where machines are taught to paint, write, compose music, and even engage in interactive experiences.

In this review, we will delve into the key concepts covered in the book, its writing style, strengths, and areas for improvement. Whether you are an AI enthusiast, a creative mind, or a researcher, this book offers valuable insights into the realm of generative AI.

Book Summary
“Generative Deep Learning” explores the fascinating field of generative AI, which empowers machines to create art, music, and text. The book covers essential generative models such as GANs and VAEs, providing a comprehensive understanding of how these models learn to generate creative content. With a focus on practical applications, the book showcases real-world examples of generative AI in action, appealing to both technical enthusiasts and creative individuals eager to explore the intersection of AI and artistic expression.

The original content of this post is on my personal blog,Continue reading [here](https://thecontentfarm.net/chatgpt-for-thought-leaders-and-content-creators-by-dr-gleb-tsipursky/).
ChatGPT for Thought Leaders and Content Creators By Dr. Gleb Tsipursky [Book Review]
Tags: chatgpt, books, machinelearning, ai
Published: 2023-09-03 18:06:08

In the rapidly evolving world of content creation, thought leaders and content creators are constantly seeking ways to enhance their productivity and impact. “ChatGPT for Thought Leaders and Content Creators” by Dr. Gleb Tsipursky presents an essential guide to unlocking the potential of Generative AI for innovative and effective content creation.

In this book review, we will delve into the key concepts, techniques, strengths, and areas for improvement of this resourceful guide.

Book Summary
“ChatGPT for Thought Leaders and Content Creators” offers a comprehensive exploration of how to harness the power of AI, specifically ChatGPT, for generating high-quality content in various formats.

Dr. Gleb Tsipursky, a prominent thought leader and experienced author, shares his expertise in leveraging AI tools for crafting compelling thought leadership articles, speeches, podcasts, and marketing campaigns. With a focus on efficiency, impact, and maintaining a unique voice, the book aims to revolutionize the way content is created in the digital age.

The original content of this post is on my personal blog.Continue reading [here](https://thecontentfarm.net/chatgpt-for-thought-leaders-and-content-creators-by-dr-gleb-tsipursky/).
Generative AI with Python and TensorFlow 2 By Joseph Babcock and Raghav Bali (Book Review)
Published: 2023-09-03 18:03:32

Introduction
Generative AI is a rapidly advancing field of artificial intelligence that allows machines to create new, original content such as images, text, and music.

Generative AI with Python and TensorFlow 2 by Joseph Babcock and Raghav Bali is a comprehensive guide that delves into the world of generative models, offering practical examples and code implementations in TensorFlow 2.

This book equips Python programmers with the knowledge and skills to build and experiment with various deep generative models like VAEs, GANs, LSTMs, and Transformer models.

In this book review, we will explore the key concepts, writing style, strengths, and areas for improvement of this guide to generative AI.

Book Summary
In Generative AI with Python and TensorFlow 2, the authors take readers on a journey through the evolution of generative models, starting from restricted Boltzmann machines and deep belief networks to modern VAEs and GANs.

The original content of this post is on my personal blog.Continue reading [here](https://thecontentfarm.net/generative-ai-with-python-and-tensorflow-2-by-joseph-babcock-and-raghav-bali-book-review/).
Generative AI Art By Oliver Theobald (Book Review)
Tags: generativeai, chatgpt, machinelearning, ai
Published: 2023-09-03 18:00:40

Introduction
In the rapidly evolving landscape of AI and creative arts, “Generative AI Art: A Beginner’s Guide to 10x Your Output with Smart Text Prompts (Midjourney, DALL-E, Craiyon)” by Oliver Theobald presents an enticing gateway for beginners to explore the world of generative AI art.

This book aims to empower aspiring artists and creators with the tools and knowledge needed to produce impressive AI-generated art using text prompts, without requiring specialized programming skills or design expertise.

In this comprehensive book review, we delve into the key concepts, strengths, and areas for improvement, providing valuable insights for potential readers.

Book Summary
Oliver Theobald’s book is part of the “2023 AI Text Prompt Engineering Series” and serves as an entry point into the captivating realm of generative AI art.

The book emphasizes how AI-driven software, such as DALL-E 2 and Midjourney, can significantly amplify one’s creative output with minimal financial investment and without the need for professional human resources.

The original content of this post is on my personal blog.Continue reading [here](https://thecontentfarm.net/generative-ai-art-by-oliver-theobald-book-review/)
Chat GPT Bible — 10 Books in 1 By Codi Byte (Book Review)
Tags: chatgpt, books, machinelearning, ai
Published: 2023-09-03 17:49:49

Introduction
In the rapidly advancing world of artificial intelligence, staying updated on the latest applications and harnessing its potential can be challenging. “Chat GPT Bible — 10 Books in 1” by Codi Byte claims to be the ultimate solution to mastering AI with Chat GPT, offering readers practical insights into its applications to improve various aspects of life. This book review will explore its content, strengths, and areas for improvement, helping potential readers make an informed decision.

Book Summary
“Chat GPT Bible — 10 Books in 1” aims to equip readers with essential AI skills using Chat GPT. With ten comprehensive sections covering creativity, entrepreneurship, research, education, programming, and more, the book promises to provide clear explanations, practical examples, and step-by-step instructions for effective AI implementation.

The original content of this post is on my personal blog.Continue reading [here](https://thecontentfarm.net/nearmiss-an-undersampling-technique-for-imbalanced-data/).
Prompt ChatGPT with Wikipedia: A Game Changer
Tags: chatgpt, ai, promptchatgpt
Published: 2023-09-03 17:41:05

Beyond its conversational abilities, Prompt ChatGPT with Wikipedia has far-reaching implications across multiple domains. Let's explore its impact on society, education, and research.

For the chatgpt prompt you can see directly from the site that I recommend [ChatGPT Prompt Wikipedia](https://kumiskiri.com/cara-menulis-artikel-di-wikipedia-dengan-chatgpt/#cobain-promptnya)

- Redefining Research

Prompt ChatGPT with Wikipedia serves as a virtual research assistant, instantly sifting through vast amounts of information to provide concise and relevant insights. Researchers now have a powerful ally in their quest for knowledge.

- Transforming Education

In the world of education, Prompt ChatGPT has revolutionized the way students access information. It offers a personalized learning experience, making complex subjects more digestible.

- Bridging Language Barriers

With its multilingual capabilities, Prompt ChatGPT breaks down language barriers, fostering global communication and collaboration.

- The Ethical Quandaries

As we embrace the benefits of AI-driven conversations, we must also confront the ethical challenges that arise.

- Privacy Concerns

The exchange of personal information in AI interactions raises questions about data security and user privacy.

- Dependence on AI

As we increasingly rely on AI for information and companionship, there is a risk of losing essential human connections and skills.

- Bias and Fairness

AI systems, including Prompt ChatGPT, are not immune to biases present in their training data. Addressing bias and ensuring fairness is a critical task in the AI community.

## Prompt ChatGPT with Wikipedia: The Road Ahead

The journey of AI-driven conversations is just beginning. What lies ahead for Prompt ChatGPT and similar technologies?

- Advancements in NLP

Continued advancements in Natural Language Processing will lead to even more sophisticated and context-aware AI conversational agents.

- Ethical AI

The AI community will work tirelessly to address ethical concerns, striving for transparency, fairness, and user empowerment.

- Human-AI Collaboration

The future may see increased collaboration between humans and AI, with each complementing the other's strengths.

## Conclusion: The Dawn of a New Conversation

In the grand tapestry of human progress, Prompt ChatGPT with Wikipedia represents a pivotal thread. Its ability to facilitate meaningful conversations, provide knowledge, and adapt to individual needs signals a new era in AI-powered interactions. As we navigate the evolving landscape of technology and ethics, the conversation continues.
NearMiss: A Powerful Undersampling Technique for Imbalanced Data
Tags: machinelearning, ai, imbalanced, classification
Published: 2023-09-03 17:40:25

NearMiss is an undersampling technique that can be used to handle imbalanced data. In many real-world applications, datasets are often imbalanced, where the number of samples in one class is significantly higher than the other. This can lead to biased models that perform poorly on the minority class.

To address this issue, various techniques have been developed to balance the class distribution, one of which is undersampling. Undersampling involves reducing the number of samples in the majority class, which can balance the class distribution and improve model performance. NearMiss is one such undersampling technique that selects samples from the majority class that are closest to the minority class, effectively reducing the overlap between the two classes.

NearMiss is a powerful technique that can significantly improve the performance of models trained on imbalanced data. It is easy to implement and can be used in combination with other techniques such as oversampling to further improve model performance. In the following article, we will explore NearMiss in more detail, discuss its advantages and limitations, and provide examples of how it can be used in real-world applications.

Imbalanced Data
Imbalanced data is a common problem in machine learning, where the distribution of classes in the dataset is not uniform. In some cases, one class may be significantly more prevalent than the others. This can lead to poor performance of machine learning models, as they tend to favor the majority class and ignore the minority class.

The original content of this blog is on my personal blog .Continue reading [here](https://thecontentfarm.net/nearmiss-an-undersampling-technique-for-imbalanced-data/)
Bounded Context in Microservices
Published: 2023-10-18 08:12:49

---
title: Bounded Context in Microservices
published: true
date: 2023-09-03 17:30:00 UTC
tags: 
canonical_url: 
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Micro Service မှာက Service တွေရဲ့ Context ကို‌ သေချာနားလည်ထားဖို့ကတကယ်အရေးကြီးတယ်။ မိုးပျံလန်နေအောင်လို့ရေးထားလို့ Context လွဲနေရင်မှန်တယ်လို့ပြောလို့မရဘူး။ ဒါကိုမှန်အောင်လုပ်ဖို့က Modeling လုပ်ကြည့်ဖို့လိုအပ်ပါတယ်။ Modeling လုပ်နိုင်ဖို့ကြ Business Domain ကိုသိမှဖြစ်မှာပါ။ သူကနေမှတစ်ဆင့်ဘယ်ကောင်တွေပါသင့်တယ်၊ ဘာတွေဖြစ်သင့်တယ်၊ ဘာတွေက Connect ဖြစ်နေတယ်စသဖြင့်သိနိုင်မယ်လို့ယူဆပါတယ်။ ငါတို့က Technical Level ကိုပဲပြောနေတဲ့အခါမှာ၊ ခြုံငုံမကြည့်နိုင်ကြတဲ့အတွက် အလွဲလွဲအချော်ချော်ဖြစ်တာမျိုးတွေဖြစ်တတ်တယ်။ ဒါကို Enhancement အနေနဲ့ Rapidly Enhance ပြန်လုပ်သင့်တယ်လို့ယူဆတယ်။
Micro Frontend with React
Published: 2023-10-18 08:13:01

---
title: Micro Frontend with React
published: true
date: 2023-09-03 17:30:00 UTC
tags: 
canonical_url: 
---

Enterprise Level React Application တွေက Modular Monolithic မဟုတ်ရင်၊ Micro Frontend ဖြစ်သင့်တယ်။ Interactive ဖြစ်တဲ့ State တွေက Server Side ပေါ်မှာတင်ထားသင့်တယ်။ SSC လိုမျိုး။ Modular Monolithic ဖြစ်တဲ့အခါမှာလည်း FDD ကိုသုံးသင့်တယ်လို့ယူဆတယ်။ မဟုတ်ရင် Agile သုံးပြီးတော့ Sprint Goals မမှီတာတို့ဘာတို့ဖြစ်တာမျိုးပေါ့။ ဒါတွေကို Prevent ဖို့က ဘယ်ကောင်ကိုဘယ်အချိန်မှာဘယ်လို Apply လုပ်သင့်တယ်ဆိုတာသိသင့်ပါတယ်။ ဒါမျိုးက Management Level နဲ့ Technical Level က Catch Up မဖြစ်တာမျိုး၊ သေချာနားမလည်တာမျိုးဆိုရင်ဖြစ်တတ်တယ်။ Modulars Monolithic သုံးတဲ့နေရာမှာလည်းသူ့ Feature နဲ့သူထားပြီးလုပ်ဖို့လိုအပ်တယ်။ ဒီနေရာမှာသိရမှာ Agile Culture ခုမှစပြောင်းတာလား၊ အစကတည်းကရှိပြီးသားလားဆိုတာကလည်းမူတည်တယ်လို့ယူဆနိုင်ပါတယ်။ Shared Package တွေကိုဘယ်လို Management လုပ်မှာလဲ၊ ဘယ်လိုမျိုး ထားသင့်သလဲ၊ Versioning ကအစသိထားသင့်တယ်။