Building your own ChatGPT from scratch

In a world where technology constantly pushes the boundaries of human imagination, one phenomenon stands out: ChatGPT. You’ve probably experienced its magic, admired how it can chat meaningfully, and maybe even wondered how it all works inside. ChatGPT is more than just a program; it’s a gateway to the realms of artificial intelligence, showcasing the amazing progress we’ve made in machine learning.

At its core, ChatGPT is built on a technology called Generative Pre-trained Transformer (GPT). But what does that really mean? Let’s understand in this blog.

In this blog, we’ll explore the fundamentals of machine learning, including how machines generate words. We’ll delve into the transformer architecture and its attention mechanisms. Then, we’ll demystify GPT and its role in AI. Finally, we’ll embark on coding our own GPT from scratch, bridging theory and practice in artificial intelligence.

How does Machine learn?

Imagine a network of interconnected knobs—this is a neural network, inspired by our own brains. In this network, information flows through nodes, just like thoughts in our minds. Each node processes information and passes it along to the next, making decisions as it goes.

Each knob represents a neuron, a fundamental unit of processing. As information flows through this network, these neurons spring to action, analyzing, interpreting, and transmitting data. It’s similar to how thoughts travel through your mind—constantly interacting and influencing one another to form a coherent understanding of the world around you. In a neural network, these interactions pave the way for learning, adaptation, and intelligent decision-making, mirroring the complex dynamics of the human mind in the digital realm.

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Benefits and Challenges of Monolithic or Microservices Architecture

In the world of software development, the architectural choices made for building an application can have a profound impact on its scalability, maintainability, and overall success. Two prominent architectural patterns that have gained considerable attention in recent years are monolithic and microservices architecture. Each approach presents unique benefits and challenges, which we will explore in this blog post. By understanding the characteristics of both architectures, developers can make informed decisions when choosing the best option for their projects.

I. Monolithic Architecture

Monolithic architecture refers to a traditional approach where all components of an application are tightly coupled and packaged together into a single executable unit. Let’s delve into the benefits and challenges associated with this approach.

Benefits of Monolithic Architecture

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GPT 4 and its advancements over GPT 3

The field of natural language processing has witnessed remarkable advancements over the years, with the development of cutting-edge language models such as GPT-3 and the recent release of GPT-4. These models have revolutionized the way we interact with language and have opened up new possibilities for applications in various domains, including chatbots, virtual assistants, and automated content creation.

What is GPT?

GPT is a natural language processing (NLP) model developed by OpenAI that utilizes the transformer model. Transformer is a type of Deep Learning model, best known for its ability to process sequential data, such as text, by attending to different parts of the input sequence and using this information to generate context-aware representations of the text.

What makes transformers special is that they can understand the meaning of the text, instead of just recognizing patterns in the words. They can do this by “attending” to different parts of the text and figuring out which parts are most important to understanding the meaning of the whole.

For example, imagine you’re reading a book and come across the sentence “The cat sat on the mat.” A transformer would be able to understand that this sentence is about a cat and a mat and that the cat is sitting on the mat. It would also be able to use this understanding to generate new sentences that are related to the original one.

GPT is pre-trained on a large dataset, which consists of:

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Scholarship Test for PG Certificate in Data Science, AI/ML from IIT Roorkee. Earn Rs 75,000 Discount in One Hour.

We all know what’s ruling technology right now.

Yes, it is Artificial Intelligence, Machine Learning, Data Science, and Data Engineering. 

Therefore, now is the time to propel your Data Science career. Look no further because you can enroll for a PG Certificate Course in Data Science from IIT Roorkee. To make enrolment easy for you, here’s a Free Scholarship Test you can take and earn discounts up to Rs.75,000!

The Scholarship Test is a great opportunity for you to earn discounts. There are 50 questions that you have to attempt in one hour.
Each question you answer correctly earns you a discount of Rs 1000, and you can earn a maximum discount of Rs 75,000! (50/50 rewards you with an additional 25000 scholarship)

This Scholarship Test for the Data Science course is a great way to challenge yourself in basic aptitude and basic programming questions and to earn a massive discount on the course fees. 

The PG Certificate course from IIT Roorkee covers all that you need to know in technology right now. You will learn the architecture of ChatGPT, Stable Diffusion, Machine Learning, Artificial Intelligence, Data Science, Data Engineering and more! The course will be delivered by Professors from IIT Roorkee and industry experts and follows a blended mode of learning. Learners will also get 365 days of access to cloud labs for hands-on practice in a gamified learning environment. 

Data Scientists, Data Engineers, Data Architects are some of the highly sought after professionals today. With businesses and life-changing innovations being data driven in every domain, the demand for expertise in Deep Learning, Machine Learning is on the rise. This PG Certificate Course gives you the skills and knowledge required for a propelling career in Data Science. 

So what are you waiting for? Seats to the PG Certificate Course in Data Science from IIT Roorkee are limited. Take the Scholarship Test, earn discounts, and enroll now.

Link to the Scholarship Test is here.

Details about the PG Certificate Course in AI, Machine Learning, and Data Science are here.

Impact of AI on various industries in 2023

Artificial intelligence (AI) is having a profound impact on many different industries and is transforming the way businesses and organizations operate and serve their customers. With the help of AI, organizations are able to automate complex processes, make better predictions and decisions, and provide more personalized and efficient services to their customers.

One of the key areas where AI is making a big difference is in the field of healthcare. AI algorithms are being used to analyze medical data, such as images, records, and biomarkers, and to make more accurate predictions about the likelihood of diseases and the effectiveness of treatments. This can help healthcare providers to diagnose and treat patients more effectively, and improve the overall quality of care.

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I’m from the telecom industry, should I learn Data Science and AI?

In the telecom industry, the use of AI and data science is becoming increasingly important for companies that want to stay competitive and deliver the best possible services to their customers.

Only by leveraging the power of AI and data science, telecom companies can gain valuable insights into their operations and make data-driven decisions that can help them improve efficiency, reduce costs, and develop new products and services.

One key area where AI and data science can help telecom companies is in network optimization. By analyzing vast amounts of data from network sensors and other sources, AI algorithms can identify patterns and anomalies that can indicate where the network is underperforming or prone to failure. This can help telecom companies take proactive steps to improve network reliability and reduce downtime, leading to a better overall customer experience.

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I’m from the manufacturing industry, should I learn Data Science and AI?

In today’s competitive manufacturing landscape, companies that want to stay ahead of the curve are turning to AI and data science to improve efficiency and drive innovation. By harnessing the power of AI and data science, manufacturing companies can gain valuable insights into their operations and make data-driven decisions that can help them improve productivity, reduce costs, and develop new products and services.

One key area where AI and data science can help manufacturing companies is in the realm of predictive maintenance. By analyzing vast amounts of data from sensors and other sources, AI algorithms can identify patterns and anomalies that can indicate when equipment is likely to fail. This can help companies schedule maintenance and repairs at the optimal time, reducing downtime and improving overall equipment reliability.

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Jobs that will emerge/stay relevant in the near future.

As AI and other technologies continue to advance, it is likely that many jobs that are currently considered essential will become obsolete, while new job opportunities will emerge in areas related to AI and other emerging technologies.

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I’m from the banking industry, should I learn Data Science and AI

If you work in the banking industry, learning about data science, machine learning, and AI could be a valuable investment in your career. These fields are rapidly growing and are expected to play an increasingly important role in the banking industry in the coming years.

Here are a few reasons why learning about data science, machine learning, and AI could be beneficial for individuals in the banking industry:

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10 Reasons to Start Learning Data Science and Artificial Intelligence Today

The world is changing at an unprecedented pace in technology. The demand for Data Science and Artificial Intelligence (AI) skills is growing faster than ever before. Whether you’re a recent graduate, a seasoned professional, or simply looking to upskill, now is the perfect time to hone your skills in these exciting fields.

If you want to innovate or solve complex problems, you must empower yourself with the right tools and technologies today. These technologies include Machine Learning, Artificial Intelligence, Deep Learning, ChatGPT, Stable Diffusion, Data Science, Data Engineering and so much more! 

Here are ten reasons why you should consider investing in Data Science and AI/ML training today.

1. The Job Market is Booming
Data science and AI are among the fastest-growing fields, and the demand for professionals with these skills is expected to continue to rise. According to a recent study, the number of job postings for data scientists has increased by almost 75% over the past five years, and the demand for AI professionals is growing even faster.

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