Top 15 Generative AI Applications in 2024

Did you know that Generative AI’s global market size was valued at nearly $45 billion at the end of 2023? The valuation is all set to achieve the milestone of $206.9 billion by the end of 2030. With a significant growth rate, generative technology has become one of the fastest-growing technologies in different sectors. Be it generating the texts or writing code for your program, generative ai applications like ChatGPT, Copy.ai, Crayon, RunwayML, Otter.Ai, Gemini, AlphaCode, GitHub Copilot, Bard, and Claude cover it all. Still, we know very little about this amazing technology and its capability.

Different generative AI tools and applications can perform tasks that are not limited to just generating texts. Given the core capabilities of the Generative AI concept, there is a lot of potential in this technology that can benefit different businesses significantly. To help you leverage the benefits of this magnificent concept, we bring to you the answer to “What is a Generative AI application” along with the top 15 generative AI applications.

10 Best Generative AI Applications in 2024

Here are the top 15 Generative AI applications that will streamline your tasks to a significant extent and thus increase productivity.

15 Top Applications of Generative AI

Let’s explore the most effective generative AI tools available in 2024, designed to enhance productivity and streamline various tasks.

1. ChatGPT

ChatGPT is one of the most used generative AI applications that comes with a conversational interface. Defining in the simplest words, ChatGPT comes with an online chat interface where the users can easily give commands and generate useful outcomes. You can ask questions, generate content, write emails, and product codes, correct the codes, gain human-like texts, and much more. At the same time, the tool is also equipped with natural language processing that allows the users to generate the text according to the tone of the target audience and make the output more useful and relatable.

Key Features:

• Comes with advanced natural language processing that can be used to analyze the nuances and context of conversation.
• Keeps the conversation history alive to provide continuous relevant responses.
• Customizable responses that can be fine-tuned in order to match the specific user needs.
• Continuous learning potential that helps to improve the results over time by learning from user behavior.
• Personalized version of GPT that works on the basis of user’s particular needs and requirements.

2. Copy.ai

Copy.ai is basically one of the best generative AI applications developed by a leading generative AI development company that use machine learning in order to generate different types of content like emails, headlines, social media content, web copy, and whatnot. Copy.AI is built with OpenAI’s GPT-3 large language model and thus helps significantly in the copywriting process. Available in more than 25 languages, it is one of the greatest tools that helps beginners to get familiar with generative AI.

Key Features:

• Automatic content generation helps to produce high-quality copies in various formats like blog posts, social media updates, and emails.
• Enable businesses to produce content particularly according to their brand image and target audience.
• Ease of use that allows beginners to create compelling and creative copies.

3. Crayon

If you are looking for a tool that provides you the actionable insights and analytics, Crayon is the best option for you. You can track, analyze, and then act after knowing everything that is happening in the market. Be it competitors or market trends, Crayon helps you know everything about everything.

Key Features:

• Real-time updates on the market and competitor’s activities.
• Advanced algorithms that help identify the latest trends in the market.
• Interactive dashboard that enables the users to focus on particular data points.

4. RunwayML

When looking for a tool that can help your artists, developers, and designers simultaneously. RunwayML is one of the best options. This tool has machine learning technology which helps the users to perform several tasks like visual effects, video editing, image generation, and much more. The intuitive interface of RunwayML helps it run seamlessly on web browsers. The integrated ML feature helps to provide real-time and updated collaboration for the team project.

Key Features:

• No need for specialized hardware as it can operate in a web browser
• Offers access to different pre-trained generative AI models to work on different creative projects.
• Real-time collaboration allows people to work remotely but together on a project.
• Drag-and-drop interface to make the design even easier and simple.

5. Otter.Ai

There is no need to rely on a human assistant to record the minutes of meetings. Otter.Ai is a very useful tool that can instantly translate live audio from various sources like conversations, songs, videos, and much more into texts. At the same time, it comes with speech recognition technology that enables you to transcribe from various languages and sources.

Key Features:

• Enhanced accuracy
• Time-saving for transcription
• Searchable transcripts for a better experience
• Automated speaker identification

6. Gemini

Formerly known as Bard, this is a conversational ChatBot released by Google on 21st March 2023. Having been received countless upgrades in large language models. This generative AI can help in performing trillions of tasks such as mathematical reasoning, discerning big data sets, image describing, code analysis, text translation, and much more.

Key Features:

• Can perform multiple tasks according to user’s needs
• Process audio, text, video, and many more media formats
• Image recognition that interprets visual media
• Code generation capability to generate different codes

7. AlphaCode

With 41.1 billion parameters, this transformer-based language model is more complex than other generative AI applications and tools. The reason behind the statement is that it provides training in a number of programming languages including Scala, Ruby, C#, Java, JavaScript, Go, PHP, and Rust. All these features make it the best generative AI application.

Key Features:

• Large-scale code generation and smart filtering.
• Transformer-based language model.
• Programming ability in C++, Python, and many other languages.
• More than 13,000 example tasks for training.

8. GitHub Copilot

GitHub, in partnership with OpenAI, created an AI tool named Copilot that works as the code completion software based on AI. The Copilot analyzes the context of all the relevant files and thus offers suggestions from the text editors. The core competency is that the Copilot is trained in all the languages which appear in the public repositories.

Key Features:

• Multiple programming language support
• Open Source Code Learning
• Integrated Development Environments
• Collaborative Coding
• Adaption and Customization
• Continuous improvement and learning

9. Bard

More like the alternative to ChatGPT, Bard is a generative AI tool by Google. This is also a content-generation tool that can perform various tasks like creating content generation, social media writing, code generation, and much more. At the same time, it offers voice-based and text-based input.

Key Features:

• Video understanding
• Audio processing
• Image understanding
• Code analysis and generation
• Text generation

10. Claude

Claude was invented by an AI Startup that performs as an AI chatbot, content generator, and virtual assistant. While most of its core capabilities resemble those of ChatGPT, the makers of this top generative AI application have focused more on safety, conversational tools, and customization. Users have found Claude more useful for creative and funny content generation.

Key Features:

• Adhering to Constitutional AI approach to AI ethics
• Available in Slack
• Document attachments as user input
• Support of a variety of commonly spoken languages

11. Cohere Generate

This is one of the best options for straightforward API integration that has many generative AI use cases, including but not limited to, product management, sales, digital marketing, and much more. The primary thing that Cohere Generate is mostly used for is copywriting summarization, and data extraction.

Key Features:

• Best compatibility with Shell, Python, and Node Languages.
• Free rate-limited usage
• Easily compatible with private, public, and hybrid cloud environments.
• Marketing and lead-focus copy content generation

12. Llama 2

This AI tool is best for open-source LLM access where anyone can use Llama 2 for their different business, security, and privacy networks. This generative AI application comes with a small model size and is trained on a limited dataset. It makes it more accessible to users who don’t have much bigger hardware.

Key Features:

• Open-source and free LLM
• Trained on 2 trillion token
• Continuous learning based on human feedback

13. Bloom

Bloom is also an open-source autoregressive LLM which has more than 176 billion parameters. Bloom can operate in 46 different spoken languages along with 13 programming languages. However, you should remember that the quality of the output might be compromised when using multilingual mode.

Key Features:

• Interference API for text generation
• Decoder-only architecture
• Learned subword tokenizer
• Logical text completion

14. Jasper

Providing different types of content to digital content creators and marketers is one of the best generative AI applications for the people working on the relevant profiles. This tool is of significant use for SEO experts who can generate content according to requirements, brand voice, and the target audience.

Key Features:

• AI to scan the brand guidelines
• Efficient blog writing according to the nature of the target audience
• AI-powered content recommendation and analytics
• Prebuilt templates for multilevel marketing

15. Notion AI

This AI tool performs both as an AI business assistant tool and as a creative tool that greatly helps collect important information. In-built AI templates that come with Notion AI help in a lot of use cases like meeting summaries, post generation, mind mapping, pitch generation, presentation and content planning, etc.

Key Features:

• Q&A features that quickly assess information from projects and documents
• Automated feature for smart summaries
• Drag-and-drop editor for text
• AI-based templates created by notion and many other users.

3 Business Benefits of Using Generative AI Applications

In this highly competitive landscape, it has become utmostly important for businesses to adopt the technologies and walk a step ahead of the competitors. Generative AI application is one of the technologies that is delivering a range of benefits to businesses, irrespective of their niches and industries. Let’s have a glance over 3 business benefits of using applications of generative AI.

1. Automated Content Generation

To communicate with the target audience, a brand requires a different format of content. However, the process requires a lot of time, resources, and cost, generative AI has been a scenario changer. Be it writing blogs, product descriptions, social media caption generation, or writing content for newsletters, generative AI applications get everything covered. Generating the content in different tones for different target audiences, along with ensuring accuracy, has become very easy with generative AI.

2. Better Customer Experience

Personalized customer experience is key to business success nowadays, and generative AI is the new keymaker. Analyzing vast amounts of data, the software can generate personalized recommendations for a brand’s marketing strategies. At the same time, generative AI also helps significantly in building chatbots that can provide instant and customized responses to users according to the nature of their query.

3. Data Synthesis

Generative AI has a great capability of analyzing huge amounts of data and extracting insightful information. For example, it becomes very easy to analyze consumer behavior, market trends, economic indicators, and much more. This helps significantly in informed decision-making and multiplies the profit. At the same time, if you want to make a good investment in any of the options, the data synthesis capability will enable you to analyze the return and risk factor to choose the one where the risk is least and the profile is best.

Risks of Generative AI

There is no doubt that generative AI apps have a lot of applications in real time that help businesses achieve competitive advantages. However, it can not be denied that there are a lot of risks associated with the use of artificial intelligence. Let’s have a look over the risks of generative AI and use this technology with care.

1. First of all, the quality of data extracted from the generative AI can be compromised and thus it is never very reliable.

2. Ethical concerns are always associated with the use of generative AI where it can present biased data.

3. It is very often that generative AI can infringe on the IP and copyright laws.

4. Generative AI is vulnerable to cyber attacks that can result in data leaks and breaches.

5. Manipulating people with deep fake images and voices of people is a big drawback associated with this technology.

Generative AI Use Cases- Some Practical Instances

In everyday life, there are a lot of repetitive tasks that consume our time. So, some of the top generative AI applications help significantly to perform these repetitive tasks with enhanced accuracy and speed. Here are some of the practical uses of generative AI today-

1. Write any, text, article, or piece of content in your preferred style and length by giving a simple command.

2. Provide direct answers to the questions by using the trained data and prompt information.

3. Easily change the tone of the text according to the nature of the target audience.

4. Provides an instant summary of long-text articles, emails, conversations, and web pages.

5. Break down the complex topics into various parts to make them easy to understand.

6. Classifies the content on the basis of sentiments, topics, and subjects.

7. Instant code generation, verification, explanation, and translation.

The Future of Generative AI Applications

Generative AI is a novel concept as there was rarely such term when we look a decade back. Just because of the capabilities of this technology, every business and organization is using generative AI applications in various processes and operations. However, the end doesn’t seem to be near and there is a lot that we are going to witness in both generative and predictive AI in the upcoming future. While we can not exactly predict the upcoming of this innovation, here are some ideas that might take shape with time.

1. Multimodality

There can be a growth in multimodality where the generative AI tools will accept the input in multiple media formats as well as give the output in an increased number of formats. At the same time, an increase in multimodality will also lead to enhanced quality of results.

2. Wider Adoption of Generative AI

While there are some firms that are still lagging behind in terms of using generative AI applications, the coming years might bring AI to everyone’s smartphone and tablet. The reliance of people on generative can increase significantly.

3. Work Disruption

While at the current level, AI is only helping the workers to perform the task fast and with increased accuracy, there are huge chances that after some time, AI can perform tasks on its own by just putting in a simple command. So, there might not be a need for human workers to send emails, prepare reports, create social media content, and much more.

4. More Regulatory and Societal Pressure

There is a chance that various regulations and legal procedures will be implemented to ensure the safe use of AI. EU AI Act is already being discussed and reviewed by the governmental bodies which has also been approved by the EU parliament. There can be more strict guidelines to use this technology wisely.

5. More Focus on Quality

The biggest drawback of AI is the lack of reliance on generated data. In the upcoming years, it is highly expected that the different AI tools might enhance the quality of their outcomes by increasing the weight of training datasets and hallucination management strategies.

Conclusion: Applications of Generative AI

Generative AI has been nothing less than a significant achievement for everyone having a job or business. Not only does it help to perform repetitive tasks in a quick manner, but it also saves a lot of costs as well as maintains accuracy. However, it might not be a good idea to rely on any of the AI tools to perform your tasks as some of them might not provide the right information while others might leak your data. So, we have enlisted the top 15 Generative AI applications that will help you perform various tasks without compromising safety or quality.

FAQ’s: Generative AI Applications & Tools

Q.1 What are the Four Commonly Used GenAI Applications?

ChatGPT is one of the most used generative AI applications that help generate creative content for different purposes. Midjourney is another AI program that generates images from NLP descriptions. Other than that, Google Gemini is among the popular generative AI tools from Google itself. Claude is another platform that helps to generate AI content.

Q.2 What is the Difference Between GenAI and AI?

The core difference between GenAI and AI is that traditional artificial intelligence has more capability of analyzing and automating tasks. GenAI, on the other hand, helps to generate creative content for different platforms.

Q.3 What is the Most Used Generative AI?

ChatGPT is the most used generative AI application among all the options. According to statistics, there are more than 180.5 million ChatGPT users around the world.

Q.4 What Do I Need to Buy to Enable Generative AI?

There are premium and paid versions of different AI tools that you can buy in order to enjoy the advanced features of the software. It includes increased datasets, image input and output, real-time information, and much more.

Q.5 What is Generative AI for Dummies?

Defining generative AI in the simplest terms, it is a form of artificial intelligence that is dedicatedly designed to generate different types of media and content. It helps to generate text, images, codes, and much more by assessing the prompt.