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ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Does Gen AI Require Coding?

By Lukesh S

Generative AI has gained the spotlight in recent days with the introduction of ChatGPT in the tech world. This marks the next generation of Artificial Intelligence and it is important that you know about it in order to walk with the trend. 

Whenever we encounter a new technology, a lot of questions creep up and one of those will definitely be related to coding, in this case, it will be, “Does Gen AI require coding?”

Though it is not mandatory, Gen AI still requires coding to access advanced features, such as creating your own AI model for specific purposes. For example, if you want an AI model that exclusively generates images for your business, then you have to create it on your own using coding. Let us see about these in-depth concepts in the coming sections. So, let us get started!

Table of contents


  1. What is Gen AI?
  2. Gen AI Tools to Get You Started
    • GPT-4 by OpenAI
    • DALL-E by OpenAI
    • MidJourney
    • Stable Diffusion
    • Runway ML
    • Jasper AI
    • Hugging Face Transformers
    • Adobe Firefly
  3. Does Gen AI Require Coding?
    • No Coding Required for Basic Usage
    • Coding Needed for Advanced Applications
  4. How to Get Started With Gen AI Without Coding?
  5. How to Get Started With Gen AI With Coding?
  6. Final Words
  7. FAQs
    • Can I use Generative AI without any coding knowledge?
    • How long does it take to learn coding for AI?
    • Can I build a Generative AI model from scratch without coding?
    • Are there any free resources to learn coding for Generative AI?
    • Is it difficult to transition from using AI tools to coding AI models?
    • What are the most common challenges in learning to code for AI?

What is Gen AI?

What is Gen AI?

Generative AI is the next step in artificial intelligence where it can be able to create new content like texts, images, music, and even videos out of nothing. All you need to do is to give a prompt and let the magic of Gen AI unfold. 

The best example of Gen AI is ChatGPT. You will be giving a prompt and ChatGPT will give you the result. That’s how Gen AI basically works. 

Here is an example to showcase the power of Gen AI using ChatGPT:

chatgpt prompt

If you are intrigued by the working nature of ChatGPT and want to learn more about it, consider enrolling in GUVI’s ChatGPT Course that covers every aspect related to it!

Gen AI Tools to Get You Started

Gen AI Tools to Get You Started

Before we go to the topic of whether Gen AI require coding or not, let us see some of the best Gen AI tools that can help you get started with the Gen AI platform:

1. GPT-4 by OpenAI

  • It is used for advanced text generation for writing, summarization, and conversation.

2. DALL-E by OpenAI

  • It is used to generate high-quality images from textual descriptions.
  • Platform: API-based; used in creative design and content creation for generating visuals.

3. MidJourney

  • It mainly focuses on producing artistic and imaginative images from text prompts.

4. Stable Diffusion

  • It is used as an open-source image generation tool with customization options.

5. Runway ML

  • It enables individuals to create AI-powered video and image editing, with creative tools for artists.

6. Jasper AI

  • Jasper AI is used to automate content creation for marketing, blog posts, and social media.

7. Hugging Face Transformers

  • It is basically a library offering pre-trained models for natural language processing tasks.

8. Adobe Firefly

  • It enhances creative workflows with AI-generated images and effects.

Does Gen AI Require Coding?

Does Gen AI Require Coding?

To answer the big question of whether Gen AI requires coding, the first thing that you should ask yourself is, for what purpose are you approaching Gen AI? If you answer this question, then you can easily get the answer whether Gen AI requires coding or not.

If you want to learn more about Gen AI through a self-paced course that includes industry-grade certification, consider enrolling in GUVI’s Generative AI Course which teaches you everything related to it!

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No Coding Required for Basic Usage

One of the main goals of artificial intelligence is to minimize the usage of codes and simplify the learning curve. That is the case for generative AI as well. If you are a basic user who doesn’t get involved in advanced concepts of gen AI, then you don’t need to know even a single word of coding!

The basic tasks that we mention include simple actions like text generation, image processing, and optimization. For this, there are already a lot of pre-built models or platforms in the market. So, you don’t have to learn coding to perform these simple tasks.

So, as we mentioned, define your goal firsthand and if your goal is to simply use Generative AI tools for performing basic operations, you don’t need to be a coder. Many platforms offer user-friendly interfaces where you can input text prompts, upload images, or provide other inputs without writing a single line of code. 

For example, tools like ChatGPT or DALL-E let you generate text and images just by typing what you want. It’s as easy as using a search engine.

Coding Needed for Advanced Applications

However, if you’re looking to do more advanced operations, it’s a different case. There you require coding and you can’t simply ask for the output and get it. 

Advanced applications like creating your own models for personalized use, customizing existing ones according to your need, or integrating AI into your specific projects require coding and you can’t dodge this one. 

The go-to language for AI development is none other than Python, thanks to its simplicity and the numerous libraries available. 

Though no code is the easy way out, still knowing how to code allows you to work directly with the algorithms and data, giving you more control over the AI’s output. This can be crucial if you’re working on specialized applications or need the AI to behave in a certain way instead of a programmed approach that the pre-built models offer. 

So, before you start out with Gen AI, define your purpose and that will answer whether you require coding knowledge or not!

Since we are talking about Gen AI, there are specific Gen AI terms that you need to learn before you get started.

How to Get Started With Gen AI Without Coding?

How to Get Started With Gen AI Without Coding?

If you just want to perform basic tasks in Gen AI without the need for coding, here are some tips and guidelines to get you started!

  • Explore the Pre-Built Models: Companies like Nvidia, Amazon, IBM, and many more have pre-built Gen AI models where you can experiment however you want. These platforms often come with tutorials and communities to help you get started.
  • Make use of No-Code AI Platforms: Several platforms like Levity, Google AutoML RunawayML, and so on offer drag-and-drop interfaces for building AI models. These tools are designed for people who might not have a coding background but still want to utilize the power of AI.
  • Learn the Basics: If you’re curious about coding but don’t know where to start, there are plenty of beginner-friendly resources online. Starting with Python can be a great way to ease into the world of AI.

How to Get Started With Gen AI With Coding?

How to Get Started With Gen AI With Coding?

If you are willing to take the detailed path of Gen AI that includes an in-depth knowledge of coding, then this section will provide you with tips to get you started on your AI journey:

  1. Learn Python: Python is the most widely used language in AI development due to its simplicity and extensive libraries like TensorFlow, PyTorch, and Keras. Begin with the basics by understanding syntax, data structures, and control flow. Get enrolled in a certified Python course by a recognized institution to learn all about the subject.
  2. Explore AI Libraries: Once you’re comfortable with Python, start exploring AI-specific libraries. TensorFlow and PyTorch are excellent for building machine learning models, while OpenAI’s GPT models are great for text generation tasks. 
  3. Hands-On Projects: Applying what you learn through artificial intelligence projects is crucial. Start with simple tasks like building a basic chatbot or a text generator. 
  4. Join Communities: Engaging with online communities like Stack Overflow, GitHub, or Reddit’s AI subreddits can be incredibly helpful. You can ask questions, share your progress, and learn from others’ experiences.
  5. Experiment and Iterate: Don’t be afraid to experiment with your code. AI development is often about trial and error where you test different models, tweak parameters, and learn from the outcomes. Remember, the more you practice, the more confident you’ll become in your coding skills.
  6. Build a Portfolio: As you complete projects, start building a portfolio to showcase your skills. This could be a personal website, a GitHub repository, or even a blog where you share your insights and experiences. 

By following these steps, you’ll gradually build the skills needed to utilize the full power of Generative AI, going beyond just using it for basic tasks to creating and customizing AI solutions that fit your unique needs.

In case you want to explore more about Artificial Intelligence and Machine Learning, consider enrolling for GUVI’s Artificial Intelligence and Machine Learning courses that teaches you everything related to it with an industry-grade certificate. 

Final Words

In conclusion, does Generative AI require coding? The answer is yes and no. 

If you’re content with using pre-built models like ChatGPT where you can just use it for general purposes, coding isn’t necessary. However, if you want to create, customize, or optimize AI models, learning to code is essential.

If you learn to code, you’ll gain more control and flexibility, enabling you to push the boundaries of what AI can do. On the other hand, if you don’t learn to code, you’ll be limited to using what’s already available without much customization.

Whether you’re just looking to use AI and perform basic tasks or want to dig deeper into its development, there’s a path forward that suits your needs.

FAQs

1. Can I use Generative AI without any coding knowledge?

Yes, many platforms allow you to use Generative AI through simple interfaces without needing to code. 

2. How long does it take to learn coding for AI?

The time varies, but with consistent learning, you can grasp the basics of Python in 4-5 weeks and start building simple AI models in 1-2 months.

3. Can I build a Generative AI model from scratch without coding?

Building a model from scratch typically requires coding, but pre-built models are available that you can customize with minimal coding.

4. Are there any free resources to learn coding for Generative AI?

Yes, platforms like Coursera, edX, and YouTube offer free courses and tutorials on Python and AI.

5. Is it difficult to transition from using AI tools to coding AI models?

It can be challenging but manageable with dedication and the right resources. Start small and build up your skills gradually.

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6. What are the most common challenges in learning to code for AI?

Common challenges include understanding complex algorithms, debugging code, and managing large datasets.

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Table of contents Table of contents
Table of contents Articles
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  1. What is Gen AI?
  2. Gen AI Tools to Get You Started
    • GPT-4 by OpenAI
    • DALL-E by OpenAI
    • MidJourney
    • Stable Diffusion
    • Runway ML
    • Jasper AI
    • Hugging Face Transformers
    • Adobe Firefly
  3. Does Gen AI Require Coding?
    • No Coding Required for Basic Usage
    • Coding Needed for Advanced Applications
  4. How to Get Started With Gen AI Without Coding?
  5. How to Get Started With Gen AI With Coding?
  6. Final Words
  7. FAQs
    • Can I use Generative AI without any coding knowledge?
    • How long does it take to learn coding for AI?
    • Can I build a Generative AI model from scratch without coding?
    • Are there any free resources to learn coding for Generative AI?
    • Is it difficult to transition from using AI tools to coding AI models?
    • What are the most common challenges in learning to code for AI?