How to use ChatGPT?

AI and ML have been the buzz words for a while now and so many interesting usage has been found using these. Before we start, let's learn a bit about , what is AI, OpenAI and ML.

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. AI can be divided into two categories: narrow or weak AI, which is designed to perform a specific task, and general or strong AI, which has the ability to perform any intellectual task that a human can.  Examples of narrow AI include Siri, Alexa, and self-driving cars, which are designed to perform specific tasks such as recognizing speech, answering questions, and navigating roads. Strong AI, on the other hand, is still in the early stages of development and is the type of AI that can think and learn like a human. It has the potential to revolutionize many industries and change the way we live our lives.  Some of the key technologies that are used to develop AI include machine learning, natural language processing, computer vision, and robotics. 

OpenAI is an artificial intelligence research laboratory consisting of the for-profit OpenAI LP and its parent company, the non-profit OpenAI Inc. The company is focused on developing and promoting friendly AI in a way that benefits all of humanity. They have developed a number of widely-used AI technologies, such as the GPT natural language processing model. OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity.

Machine learning (ML) is a subfield of artificial intelligence that gives systems the ability to learn and improve from experience without being explicitly programmed. It involves the use of algorithms and statistical models that enable a system to automatically improve its performance with experience.  There are different types of machine learning, including:  Supervised learning: where the system is trained on a labeled dataset, with input-output pairs, and then makes predictions on new, unseen data. Unsupervised learning: where the system is not given labeled data, but instead must find patterns or features in the input data on its own. Reinforcement learning: where the system learns to make decisions by interacting with an environment and receiving feedback in the form of rewards or penalties. Machine learning is used in a variety of applications such as natural language processing, computer vision, speech recognition, recommendation systems, and many more.

ChatGPT: It is a large language model that can perform a variety of natural language processing tasks, such as:

• Text generation: generating human-like text based on a given prompt or context

• Text completion: completing a partially written text

• Text summarisation: summarising a given text to a shorter version

• Text classification: classifying a given text into predefined categories

• Text translation: translating a text from one language to another

• Text answering: answering questions based on a given context

• Text generation of code, poetry, song lyrics and many more.

Additionally, ChatGPT can be fine-tuned on specific tasks or domains, such as customer service, technical support, and creative writing, to improve its performance on those tasks.

It's important to note that while ChatGPT can generate human-like text, it is not a human and may make mistakes or misunderstand certain prompts. It is important to verify any information generated by the model before using it.

ChatGPT is a variant of the GPT (Generative Pre-training Transformer) model, developed by OpenAI.

GPT was first introduced in 2018 by a team of researchers at OpenAI, who trained the model on a large dataset of text from the internet. Since then, OpenAI has released several versions of the GPT model, including GPT-2 and GPT-3, with ChatGPT being one of the most recent versions.

The team behind GPT and its variants includes several prominent researchers in the field of natural language processing, such as Ilya Sutskever, Alec Radford, and Jeff Dean, among others. The development of the GPT model has been led by OpenAI, a research organization founded by Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever and Wojciech Zaremba.

OpenAI, the organisation that developed ChatGPT, has made the model available for use through a commercial API, which allows users to access the model's capabilities through a web-based interface. The API requires a subscription and usage fee, which varies depending on the usage volume, the type of usage, and other factors.

However, OpenAI also provides some free access to the API, through a free-tier program, or through some partnership or research program, which allows developers and researchers to test and experiment with the model at a lower cost or even for free.

It's worth noting that the research version of the GPT-3 is open-source, meaning it is publicly available for anyone to download, use, and modify. However, the model is very large and requires considerable computational resources and expertise to train and fine-tune for specific tasks. So, it's not recommended for general usage.

Will ChatGPT be free?

ChatGPT, like other large language models such as GPT-2 and GPT-3, requires a significant amount of computational power to train and run.

The original version of GPT-2, which had 1.5 billion parameters, required 4 days of training on 8 NVIDIA V100 GPUs, with a batch size of 2048. This implies that a computational power of about 2 Petaflops is required for training.

GPT-3, which has 175 billion parameters, required several months of training on several thousand of high-performance GPUs, which is not accessible for most of the users.

While the exact computational requirements for ChatGPT may vary depending on the specific architecture and configuration of the model, it's safe to say that it requires a significant amount of computational power and resources to train and run.

It's worth noting that the computational power required to run a pre-trained model like ChatGPT is much lower than what is required to train it. The pre-trained model can be loaded into memory and run on a single high-performance GPU or even a standard CPU, which makes it more accessible to a wider range of users.

 How to login to ChatGPT?

 Open https://chat.openai.com/ on your web-browser.

 Click on Sign up.

Use any account, if you have already a logged in Google account , it makes it more easier. Just click on Continue with Google.

Enter your Name

Provide your phone number. You will receive a verification SMS on you mobile.

Enter the code and you are good to go.

The UI is very simple and easy to use.

Just type in Queries that you want to ask the AI and wait for the AI to get you the answers.

One thing to note in particular. The knowledge date cut off for ChatGPT is marked as 2021. So if you are looking for any new information, refrain yourself from asking it to ChatGPT instead, Google it!!!

What ChatGPT actually is?

ChatGPT, also known as the Generative Pre-trained Transformer (GPT), is a powerful language model developed by OpenAI. It's a machine learning algorithm that can generate human-like text by understanding the context and patterns of the input it receives. Basically it is a ChatBot developed by OpenAI, an American artificial intelligence (AI) research laboratory which is for now Open for people to use and enjoy.

One of the most notable features of ChatGPT is its ability to understand and respond to natural language inputs. This makes it ideal for a wide range of applications, from chatbots and virtual assistants to automated content generation and text-to-speech systems.

The model is trained on a large dataset of human-generated text, which allows it to understand the nuances of human language and generate text that is coherent and contextually appropriate. Additionally, ChatGPT has been fine-tuned on specific tasks, such as answering questions or writing creative stories, which means that it can be tailored to specific use cases.

Advantages of ChatGPT?

One of the key advantages of ChatGPT is its ability to generate text that is difficult to distinguish from text written by a human. This makes it ideal for use cases where the output needs to be indistinguishable from human-generated text, such as chatbots and virtual assistants. Another advantage of ChatGPT is its ability to generate text quickly and efficiently. This makes it ideal for use cases where the output needs to be generated in real-time, such as chatbots and virtual assistants. In addition to its natural language generation capabilities, ChatGPT can also be fine-tuned for other language-based tasks, such as language translation and summarization. This versatility makes it a valuable tool for a wide range of industries, from customer service and marketing to research and development.

Limitations of ChatGPT?

However, ChatGPT is not without its limitations. One of the main limitations is that it is a machine learning model, which means that its output is only as good as the data it is trained on. This means that its outputs may be biased, or that it may not understand certain nuances of human language. Additionally, since the model is pre-trained, it may not be able to understand new language patterns or idioms.

Another limitation is that ChatGPT's output can be repetitive, as it is based on patterns it has seen before in the training data. This can make its output less creative or less interesting.

Despite these limitations, ChatGPT is a powerful tool that has the potential to revolutionize the way we interact with machines. Its ability to understand and respond to natural language inputs, generate text quickly and efficiently, and be fine-tuned for specific tasks makes it a valuable asset for a wide range of industries.

As the technology and the dataset continue to evolve, ChatGPT will become even more powerful and versatile. This can lead to a wide range of new applications, such as personalizing chatbot experience, creating more accurate language translation systems, and even improving the way we interact with our homes and cars.

Overall, ChatGPT is a cutting-edge AI technology that has the potential to change the way we interact with machines. Its ability to understand and respond to natural language inputs, generate text quickly and efficiently, and be fine-tuned for specific tasks makes it a valuable asset for a wide range of industries. As the technology and the dataset continue to evolve, ChatGPT will become even more powerful and versatile, leading to a wide range of new applications.

[SOLVED] How to deal with "C: Align the operands of a condition in an unless statement spanning multiple lines" error from Rubocop

Below is the problem statement.
C: Align the operands of a condition in an unless statement spanning multiple lines
Rubocop throws this as an error when the operands are not align correctly. 
Below the simpler way to look at it and how to resolve it.
Solution:
@bad Code
fail('Title not Present') unless
    NewPage.page.title1.exists? || 
        NewPage.page.title2.exists?
@good Code
fail('Title not Present') unless
    NewPage.page.title1.exists? || 
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[SOLVED] How to deal with "C: Indent when one step more than case." error from Rubocop

Below is the problem statement.

Problem:

C: Indent when one step more than case.

Rubocop throws this as an error when we have a indentation issue. 

Ruby scripts have indentated code and a missing indentation makes compiler grumpy. To resolve it we just need to have a space before starting the when clause.

Below the simpler way to look at it and how to resolve it.

Solution:

@bad Code
case platform.downcase
when 'android'

@good Code
case platform.downcase
  when 'android'

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