The concept of Artificial Intelligence first surfaced around the 1950s. It has been researched, explored, and studied by different groups of scientists to simplify various human tasks. With concepts like machine learning, natural language processing, speech recognition, etc., AI finds its applications in various domains right from healthcare and finance to retail and manufacturing.
With AI development in the purview, software development has also witnessed potential growth. AI-guided features like Chatbots have helped companies save much on customer support and services. Similarly, AI algorithms have also helped in the detection of cyber threats, so you can respond to them quickly and fix them.
However, the new branch of AI, generative AI has piqued the interest of many. In this post, we will learn in detail about generative AI and the various generative AI tools that you must explore in 2024.
What is Generative AI?
Generative AI is a branch of Artificial Intelligence that uses machine learning algorithms to generate new content based on the data it was trained on. These advanced software applications can generate text, images, music, and other types of media that are novel and often surprisingly complex.
How Generative AI Tools Work?
The functioning of generative AI tools is based on advanced machine learning techniques and deep learning models such as VAEs (Variational Autoencoders) and GANs (Generative Adversarial Networks). Utilizing these models, generative AI tools are trained on large datasets that facilitate the learning of patterns and structures.
This learning helps generative tools to create original data based on their learning. However, if you ask the tool for any information that they were not trained upon, you won’t get a response. Let’s check the various applications of these generative AI apps.
Applications of Generative AI
- Art & Design Creation: You can use these tools to create digital images, logo designs, or any other visual content for marketing and digital media.
- Content Creation: It helps in generating written content for articles, blogs, reports, and even creative writing like poetry and short stories. You can also create engaging game content for elevated gaming experiences.
- Web and Software Development: AI generative tools can help with quick code generation and optimization, helping reduce development time.
- Music and Audio: Generative tools help create complete or fragments of melodies. You can also create unique sound effects for games and movies.
- Fashion Designs: Whether it is curating unique and trendy fashion designs or predicting future fashion trends, you can do it all with generative AI software.
- Architecture and Interior Designs: Creating appealing visual architectural and interior designs is a piece of cake with AI tools.
- Education and Training: Creating customized educational materials and interactive learning experiences and generating realistic scenarios for educational purposes are some notable applications of Generative AI.
- Science and Research: Generating synthetic data for research, especially useful in fields where data collection is challenging or expensive.
Businesses are continually seeking various ways to make these generative apps more sophisticated. If you are also interested in developing one such app or anything involving AI, you may avail of AI software development services and develop the software efficiently.
Best Generative AI Tools To Know About in 2024
AI developers have designed and developed multiple generative AI tools that you can find useful. Here’s a list of such tools for your reference!
- ChatGPT
One of the most commonly used and popular generative tools is ChatGPT, which provides users with quick access to AI content development. Its premium version allows users to the premium ChatGPT Plus which extends advanced processing capabilities and early access to new features.
Key Features:
- Open-domain conversations
- Creative writing
- Question answering
- Natural language understanding
- Language Translation
- Content structuring and creation
- Text completion and suggestion
Benefits:
- Available free of cost to users
- More natural responses with accuracy
Drawbacks:
- Prone to errors
- People may misuse such tools
- You can’t get access to the latest data as it isn’t trained for anything after September 2021
2. GPT-4
The latest version of OpenAI LLM (Large Language Model) is GPT – 4, a subsequent update of GPT-3 and GPT-3.5. It is perceived as the most safe and useful AI generative tool compared to its other predecessor versions.
Key Features:
- Elevated factual performance
- Image inputs capability
- Multilingual capability
- 100 trillion parameters
- Human-like performance
Benefits:
- Consistent, reliable, saves time
- Scalar and cost-efficient
Drawbacks:
- Extremely biased
- It may provide inaccurate answers
3. GitHub Copilot
In partnership with OpenAI, GitHub created a generative AI tool GitHub Copilot as a code completion tool. This cloud-based AI tool assists users in code completion on various environments such as Visual Studio, Visual Studio Code, Jetbrains, Novim, etc.
Verified students, programmers, teachers, and maintainers of open-source projects can use the GitHub Copilot AI tool for free. It usually comes at a monthly $10 fee for users.
Key Features:
- Smart code suggestions
- Autocompletion for comments and documentation
- Collaborative coding
- Learning from open-source coding
- Continuous learning and improvement
- Context-based suggestions
- Several programming languages support
- IDE integration
Benefits:
- Support for multiple programming languages
- Elevated developer productivity and efficiency, helping save time
Drawbacks:
- There may be variations in security and quality of code
- Users may over-rely on code completion and make mistakes
4. Bard
A chatbot and content generation tool developed by Google, Bard uses a transformer-based model for generating content. It is often seen as the biggest competitor of Google-founded ChatGPT. It is still in its experimental stage and is available in a few countries including India.
Key Features:
- There’s a rating system for user responses.
- It also assists in various tasks related to programming and software development.
Benefits:
- Pre-tested by testers
- Transparent and ethical AI development process
Drawbacks:
- Conversation history is not available like it is for AI generative tools like ChatGPT
5. AlphaCode
AlphaCode is an AI generative tool developed by DeepMind, a subsidiary of Alphabet Inc. It’s designed to tackle programming challenges at a competitive level. It represents a significant advancement in the field of AI-driven code generation, demonstrating the potential of AI in solving complex algorithmic problems.
Key Features:
- Advanced code generation
- Supports multiple programming languages such as Java, C#, Ruby, PHP, Javascript, Go, Rust, and Scala.
Benefits:
- Code generation at unprecedented speed
- Improved productivity
Drawbacks:
- It might provide inaccurate results
- Relies on the user for learning
Conclusion
Generative AI tools, with their ability to learn, adapt, and produce work that resonates with human aesthetics and logic, are redefining the boundaries of what machines can achieve. They stand as testaments to the power of AI in enhancing and complementing human ingenuity.
This list on most powerful generative AI tools should give you the knowledge you seek on usage and availability of various AI tools. With the benefits, features, and drawbacks, you can also compare the best generative AI tools and seek the most useful one for your needs.
