Generative AI: Forms, Tools And Practical Applications

At the end of this article, you will know what generative AI is, its applications, the different generative AI tools and how to use them or apply them in your day-to-day activities.

What is Generative AI

Generative AI refers to a type of artificial intelligence (AI) designed to create new content, such as text, images, music, and videos. Unlike traditional AI, which analyses or categorises data, generative AI is capable of creating new content. Generative AI produces original content based on patterns learned from a vast dataset. Essentially, it generates new, unique material.

These models are often trained on large datasets and utilise sophisticated algorithms to emulate human creativity. Tools like ChatGPT and DALL-E can create art, write essays or simulate conversations by generating output based on user prompts.

Applications of Generative AI

Generative AI has a wide range of applications, such as:

Content Creation:

Tools like GPT 4 generate texts, blog posts, stories and essays from simple prompts.

Art and Design:

AI models such as DALL-E generate unique images and designs based on text descriptions, transforming creativity in art.

Music and Audio:

AI can compose music or replicate voices, offering new possibilities for musicians and audio engineers.

Healthcare:

Generative AI simulates disease progression or creates synthetic medical data, helping doctors gain faster insights for research.

Top Generative AI Tools

1. HeyGen

It is used to create custom AI avatars.

Steps:

• Record a 5-minute video with your usual expressions.

• Put that video into HeyGen.

Your AI avatar is ready.

NOTE: It comes in free and paid plans.

HeyGen: https://www.heygen.com

2. ElevenLabs

It is used to create audio for yourself or use another AI audio.

Steps:

• Upload 1-2 hours of audio of yourself.

• It creates your AI voice avatar.

NOTE: You need to train the AI

ElevenLabs: https://elevenlabs.io/

3. Suno AI

It is used to create background audio, your music. There are no copyright issues with Suno AI.

Suno AI: https://suno.com/

4. Notebook LM

It is used to get summaries of anything you're unable to read. You can fill in the details (documents, blog, videos) into Notebook LM, and it gives you an audio podcast in which two people are talking about that particular video and summarising it without having to read it.

NotebookLM: https://notebooklm.google/

5. Claude

It can be used for coding and computing use in which you can generally ask it to do something, and it will perform that task in a computer sandbox environment it creates for you.

It has the 3.5 Sonet model, which is good at coming up with components with little code snippets that you can use or even creating a whole program.

You do not need to know how to code; you should just be able to describe what you want, and it will build it for you.

Claude: https://claude.ai/

6. Omi

It is not exactly a tool; it is a hardware device. Omi is like a companion; it is in the form of a pendant. You wear it, and it will be connected to your phone on the Omi app. While you attend meetings and meet friends, Omi will always listen to your conversations and can tell the differences in the voice and also your own voice.

After that, it will give you summaries of every single meeting you’ve had with that person. You can also ask any other questions about the meetings you’ve had.

Omi: https://www.omi.me/

7. Instantly or Apollo

It is used for cold outreach. It sends 100 – 200 emails for meeting schedules seamlessly at the same time. Every message is contextualised for that particular person, company or organisation with the help of Instantly or Apollo.

You use Apollo to create a list of your ideal customer or client persona, then you schedule and automate those emails with Instantly. It does it in seconds and can scale infinitely.

Instantly: https://instantly.ai/

Apollo: https://www.apollo.io/

8. Flux AI

It is an API you can use to generate ultra-realistic pictures of yourself doing anything, wearing anything, and people won’t be able to tell the difference.

It can be used to create LinkedIn posts, social media banners, thumbnails and whatever you might want.

Flux AI: https://flux-ai.io/

9. Perplexity AI

You can search for anything, and it gives you real-time results of whatever you put in, which is better than Google. It is a good tool for academic research work, you can set Perplexity to where you want it to source its answer from, either the web, academia or social. Perplexity provides the answer as well as the sources; you will notice citations from throughout the answer, all from scientific, published papers.

Perplexity: https://www.perplexity.ai/

10. ChatGPT

It is one of the most advanced and popular AI assistants. There are advanced features such as the:

Canvas; this is an editing space where you can create, edit and iterate a long-form text or code. You can highlight one paragraph to request changes to just that paragraph, and you can even view the vision history so you know what ChatGPT has changed.

Reasoning model: This is ideal for logical thinking, complex problem solving and multi-task analysis.

You can also set up a project, you can upload documents and provide context, and it will use all that when responding to your prompts.

There is also multi-modal support/image and file analysis; for example, you can upload a picture of a map of all McDonald’s outlets around the world and ask it to give you the list of all the locations.

Sora: It can generate high-quality videos from text descriptions.

ChatGPT: https://www.chatgpt.ai/

In summary, generative AI is the use of artificial intelligence to create new content. This could involve generating text, images, videos and voices. To do this, you describe in the dialogue box what you want the AI to create. This description is called a prompt.

The generative AI tools provide answers to all sorts of questions, summarise complex information and generate diverse ideas quickly. Depending on how they are used, they can create short stories, paintings, musical compositions and even pieces of code.

The foundation for this creation lies in large amounts of data that the AI system accesses to identify patterns and similarities. The content produced by the AI is new and is often impressive and challenging to distinguish from things humans have made.

Generative AI can also be misused in so-called “DeepFakes”; AI is utilised to produce images or videos that seem real. AI-generated text is also tough to recognise as machine-made; moreover, the AI can provide answers that may sound correct but are incorrect, which is called “hallucinating".

The quality of what’s created depends on both the quality of the data used and the quality of the prompts given. To effectively utilise generative, we need to learn how to guide the tools with meaningful prompts and how to use them thoughtfully. Generative AI holds immense potential and can help us in many ways, such as serving as a writing or learning partner. However, AI should do the hard work, and humans should be responsible for the facts