May 24, 2024
Microsoft Copilot

Microsoft Copilot

The recent advancements in AI technology which is initially fostered by the invention of OpenAI’s ChatGPT in 2022, inspired Machine Learning engineers to create more useful chatbots and Microsoft’s Copilot is a popular one of them.

Copilot is a Generative AI (Gen AI) chatbot based on the GPT-4 (Generative Pre-Trained Transformer- 4) LLM (Large Language Model) which fundamentally replies to the texts sent to it by an user. It was first launched by Microsoft on 7th February 2023 as a built-in searching feature for Microsoft Edge and Microsoft Bing.

How does it work?

It is mentioned above that Microsoft Copilot is created using the Large Language Model (LLM). LLM refers to a hybrid machine learning model that can understand human language which takes data as “features” and based on these feature vectors, it predicts output (target).

Each machine learning model is trained first with a ton of data (feature values) and their respective output (target value). Thus, the model learns the “patterns” inside the data which helps it to predict targets on future unknown data. The model passes its training phase in this way. This process is like teaching a kid how to do math.

Every type of math has a formula, and once the kid understands the formula he can solve every problem which is related to the “pattern” of the learnt formula. However, once the model training is done, it becomes ready to predict related target values based on the feature values which are passed to the model.

From the context of Copilot, when a human sends a text (e.g. write me a paragraph on cats) to the Gen AI chatbots, these texts become the feature data and get fed into the LLM. After that, based on these feature vectors (text), the model predicts output which is actually the paragraph generated by the chatbot. Therefore, if the user wants to know anything which was initially not fed into the LLM, Copilot will fail to reply to the user.

Features of Microsoft Copilot

Microsoft Copilot is able to perform various kinds of tasks since it is developed by using the latest GPT model.

Text generation

Copilot can generate texts as a response to the user. Based on the input sent by the user, it is able to write paragraphs, poems, articles, academic papers etc. It can also copy a certain author’s style while generating text responses.

Moreover, Copilot is very good at paraphrasing texts, doing citations, correcting grammars and tasks related to academic and business writing. In summary, it depends on the user how she wants Copilot to reply to her texts.

Image generation

Unlike GPT-3.5, Copilot can even generate images! The user needs to describe to Copilot about the requirements of her photos and then send them to Copilot. These descriptions will work as input and then Copilot will respond to the user with generated images based on the description.

It’s like a text-to-image generator where text is passed as input and its corresponding image comes out as output. Furthermore, if the user does not like the image, or wants modifications, Copilot can solve this problem as well.

Music composition

It sounds impossible but Copilot has the ability to compose absolutely realistic short songs based on the user’s description about the song taking the help of Suno AI, an AI model that generates music. These songs are usually 40+ seconds long and contain one verse and one chorus.

Solving mathematics

Copilot can solve basic to intermediate level mathematical problems and programming problems. Therefore, Copilot can be used effectively in research, data analysis, web development, software engineering, teaching and fields that are close to these.

However, in case of advanced mathematical problems, it fails to give exact solutions or can generate wrong results. This is a drawback of the GPT-4 model. Conversely, ChatGPT-3.5 can handle advanced mathematical problems quite efficiently.

Image reading

A user can send Copilot some images from her device to explain them. By using this feature, Optical Character Recognition (OCR) became much easier. OCR is used to extract texts from an image. Since Copilot can read images too just like humans, now it can help users to create digital documents from handwritten documents within a short amount of time.

In conclusion, Microsoft’s Generative AI chatbot Copilot is definitely a useful and versatile invention as it works relatively faster, saves time and assists humans in times of critical situations when a task needs to be solved very quickly. It’s quite impossible to describe everything that Copilot or AI chatbots can do because their limit is far away than a user even can think.

It is pretty obvious that if Copilot is used by honest, brilliant and creative minds, the growth and development in research, academics, economy, technology and other significant spheres will improve further beyond our imagination.

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