Know What is Google Gemini

Know What is Google Gemini

If you're a computer user and still unfamiliar with AI, then you're somewhere lagging behind in this technical world. Nowadays, discussions about AI are happening everywhere, and every company is developing new AI tools to keep their users engaged. So, in today's post, let's learn about AI and AI tools.

There has been continuous advancement in the field of Artificial Intelligence (AI). In this sequence, in November 2022, OpenAI launched its first Large Language Model ChatGPT. Since its arrival, there has been significant progress in the field of AI. AI discussions started happening everywhere because it was the first tool capable of generating text.

After this, where Google was sitting silently, it also launched its AI tool Bard in March 2023. In December 2023, Google renamed Bard to "Gemini". There was much enthusiasm initially about Gemini, but after some controversies, Google had to shut down one of its specific features. Let's try to understand the benefits and drawbacks of Gemini by delving deep into it.

What is Google Gemini?

Google Gemini is a multi-model AI tool. This means it can understand and process not only text but also code, audio, images, and videos. It's an advanced version of Google's previous AI tool Bard. Google renamed Bard to Gemini in December 2023.

Here are some examples of what Gemini can do:

Text Generation: Gemini can write articles, poems, scripts, etc., on various topics. For example, you can ask it to write an article about a historical event or a poem on a specific subject.

Code Generation: Gemini is also capable of generating code. For instance, you can ask it to write the necessary code to complete a task.

Image Generation: Gemini also has an image generation feature, which can be used to generate images.

Translation: Gemini can translate text into various languages.

Research: Gemini can search the internet to answer your questions, making it easy for you to find important information and saving time.

What is a Large Language Model?

LLM is a type of AI model trained on a large amount of data, especially text data. This text data can be obtained from sources such as news articles, books, social media posts, web pages, etc. During training, LLM learns the structure and usage of language from this data, enabling it to perform various language tasks, including:

Text Generation: LLM can write articles, poems, scripts, emails, etc.

Translation: LLM can translate from one language to another.

Code Generation: Some LLMs can also generate code.

Chatbots: LLM can be used to create chatbots that can interact with users naturally.

How do Large Language Models work?

LLMs are typically based on neural network algorithms, which are inspired by the structure of the human brain and consist of interconnected nodes that represent the knowledge learned by the model.

During training, large amounts of text data are fed into the neural network. The network analyzes this data and learns patterns and relationships between the data. For example, it learns which words tend to follow certain words, what relationships exist between words, and what syntactic structures different sentences have. It learns how the text following each text is likely to be.

Benefits of Large Language Models:

LLMs have several significant benefits that have the potential to bring revolutionary changes in various fields:

Increased productivity: LLMs can help save time and simplify complex tasks. For example, text translation tasks can be automated by LLMs, or LLMs can assist in code generation.

Creativity: LLMs can assist authors, content creators, and others in writing, storytelling, which can speed up their creative process.

Education and research: LLMs can assist in understanding and learning complex subjects. For example, an LLM can provide concise information on a topic or assist in research work.

Assistance for disabled individuals: LLMs can help convert text into audio for visually impaired individuals or convert audio into text for hearing-impaired individuals.

Content creation: Gemini can help authors, content creators, and developers complete creative tasks quickly and easily.

Drawbacks of Large Language Models:

As we all know, along with the benefits of any object, there are also some disadvantages. So, let's also learn about the drawbacks of AI and LLM models along with their benefits:

Social issues: LLMs are trained on old data, which can lead to biased or discriminatory responses.

Learning from incorrect data: LLMs can be trained on incorrect or misleading data. As a result, they may provide incorrect answers to questions or present information inaccurately, which can confuse users and lead to wrong decisions.

Job loss: The biggest reason for concern is job loss, as some people are worried that LLMs will automate various creative tasks, leading to job losses and increased unemployment.

Lack of sources: LLMs cannot tell where the generated text came from, making it difficult to trace the origin of any information. This raises questions about the credibility of the information.

Overall, while Large Language Models like Gemini and LLMs offer tremendous potential for improving productivity and creativity, they also pose challenges that need to be addressed for their responsible and beneficial use.