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Generative AI is a branch of artificial intelligence that uses existing data to produce unique text, image, audio, and video materials. It creates unique materials that are comparable to yet distinct from the training data by learning patterns from the input data. This technology is used for scientific research, product design and content production among other uses.
Since the initial release of ChatGPT by OpenAI in 2022, Gen AI has made a significant impact on the technology ecosystem. According to Statista, the global gen AI industry is expected to have grown from about $66 billion in 2025 to an astounding $1 trillion by 2034. Several CEOs and entrepreneurs have stated their plan to increase investing in generative AI.
Many generative-AI tools are available, ranging from AI chatbots and virtual assistants to audio and video generators. In this article, we will outline the top ten AI tools that people and businesses use today.
1. ChatGPT
OpenAI’s ChatGPT is a chatbot application that is based on a generative pre-trained transformer (GPT) algorithm. Launched in 2022, it is the most popular gen AI product in the industry. According to a recent Wharton poll, 62% of respondents said they actively use it, while 28% said they are testing or evaluating it.
One of ChatGPT’s most notable and useful features is its capability to interpret and generate human language. This makes it a great tool for handling challenging linguistic tasks. It works excellently in automating and improving customer service, optimizing processes by responding to routine questions, producing reports, writing emails, and developing product descriptions.
The accuracy of ChatGPT varies, as does all generative AI. Its inability to comprehend emotions can cause problems in some cases. This entails that the need for human supervision may be required when using ChatGPT for sensitive works such as customer service.
2. Microsoft Copilot
Microsoft Copilot is a generative AI tool integrated into Microsoft 365, designed to boost efficiency in Word, Excel, PowerPoint, Outlook, and Teams. It is the second most popular generative AI tool. It was released in 2023 and uses OpenAI’s GPT-4 basic LLM.
According to the Wharton poll, 35% of participants indicate they are testing or assessing Copilot, while 52% say their company currently uses it.
Microsoft Copilot has a broad array of uses which include:
- Creating document drafts and using Microsoft Word to summarize texts.
- Creating charts in Excel using pre-existing data.
- Using PowerPoint to design slides and create outlines.
- Composing responses, organizing your Outlook mailbox, and summarizing email threads.
- Drafting action plans and summarizing key ideas from Teams meetings, etc.
Copilot’s accuracy is not flawless, much like ChatGPT’s. For example, it could exclude important information or the core idea when summarizing content. Similarly, its output may not always conform to brand requirements even when using branded copy, graphics, and materials. Materials produced using Copilot require human scrutiny before use.
3. Google Gemini
Google Gemini is a chatbot built on Google’s Gemini family of multimodal AI models. Wharton discovered that 39% of survey participants are testing or assessing Gemini, and 40% are currently using it. Gemini was released in 2023 and quickly became the leading generative AI at the time. It surpassed ChatGPT and Microsoft Copilot in multimodal features, such as processing and producing images, audio, and video in addition to text. Gmail, Docs, and Slides are some Google Workplace tools integrated with Gemini.
Google Gemini can be used in:
- Creating emails using Smart Email Composer’s instructions.
- Using Google Slides to create slide decks on command.
- Using Spreadsheet Analyzer in Google Sheets to find patterns, outliers, and relationships.
- Creating background graphics.
- Creating the appearance of professional lighting.
- Enhancing the audio quality for Google Meet video conferences
4. Meta AI
Meta AI is the multimodal AI virtual assistant for Meta’s social networking and messaging apps, such as Facebook, Instagram, WhatsApp, and Messenger. Similar to Gemini, 40% of participants in Wharton’s study stated they presently use Meta AI, and 36% stated they are trying or assessing it. Anyone with a Meta-owned app can use Meta AI to make recommendations, respond to inquiries, alter photos, and translate content thanks to Meta’s Llama LLM.
Companies use Meta AI to create virtual assistants that can automate consumer communications, such as providing feedback tailored for specific queries or responding to general inquiries. It is useful in facilitating trade across Meta’s apps and analyzing data to help companies in developing targeted advertising.
5. DALL-E 3
The DALL-E 3 is another product from OpenAI OpenAI and was first released in 2021. It is designed for creating graphics from text descriptions. The DALL-E 3 deep learning model uses computer vision and natural language processing to produce incredible graphics.
In the Wharton study, 30% of participants stated they now use DALL-E 3, and 35% stated they are trying or evaluating it.
The DALL-E 3 can be used for:
Product ideation, app prototypes, logo design, producing photographs and videos for social media posts, and instructional materials. The DALL-E 3 has a great advantage over other Gen-AIs because of its strong connection with ChatGPT. However, many users complain that it lacks photorealism.
6. RunwayML Gen-1 and Gen-2
Runway generates video using text, image, and video inputs (including content produced by other gen AI technologies). According to a study conducted by Wharton, 25% of respondents stated they now utilize Gen-1 and Gen-2, and 31% said they are testing or assessing the models. Introduced in 2023, the Gen-2 model expands on the capabilities of the Gen-1 model by enabling the creation of films up to 18 seconds in length.
Users can blend clips to make longer videos and control the camera’s movement to personalize content. The feature can be used by companies to animate storyboards, visual effects, and static assets, among other things.
7. Stable Diffusion
Stability AI’s Stable Diffusion is a deep learning model, which was released in 2022. It can use text prompts to produce films and animations in addition to high-resolution, photorealistic images. In Wharton’s study, 24% of participants stated they presently employ stable diffusion, and 33% stated they are trying or assessing it.
Stable Diffusion is not limited to cloud services; it can operate on desktops and laptops with mid-grade GPUs. Stable diffusion has potential applications in the commercial world, such as medical imaging, catalog graphics and digital prototype design. It is also used for concept art, storyboard creation, and image editing with noise reduction and color correction.
8. Midjourney
Midjourney, released in 2022 is a program that uses natural language instructions to create graphics. In Wharton’s poll, 23% of participants stated they presently use Midjourney. 32% stated they were testing or assessing the app.
Midjourney can be accessible on either the official website of the product or the Discord messaging app. Commercial usage of images produced with Midjourney is permitted, but they cannot be protected by copyright unless they undergo substantial human alteration. Images made by Midjourney that haven’t been altered by a human artist are therefore regarded as materials in the public domain.
9. Perplexity AI
Perplexity AI launched in 2022 is an AI-powered search engine that uses LLMs to parse queries and synthesize solutions.
According to Wharton’s study, 21% of participants indicated they now use Perplexity, and 33% said they’re testing or evaluating it. Perplexity uses Microsoft Azure as its base. Paid users of Perplexity AI have the option to select the AI models they wish to use at any time. The free version uses OpenAI’s GPT-3.5 LLM only.
Perplexity AI can be used in:
- Deep research via the internet.
- Generating financial information, such as current stock quotes, price monitoring and peer comparisons within an industry.
- Can be used for in-depth financial analysis.
- Perplexity Assistant is an AI assistant for Android smartphones driven by Perplexity AI.
10. Claude
Anthropic launched the conversational AI chatbot Claude in 2023. Claude uses its training in Constitutional AI (CAI) principles, to address issues with safety, transparency, and decision-making without depending on human input. Claude is training its AI to decline response to inquiries if it determines that doing so would be harmful.
34% of participants in Wharton’s study stated they were testing or assessing Claude. 19% claimed they were using it. Claude can be used by companies to generate reports, prepare emails, automate and improve customer support, handle repetitive questions, and develop product descriptions.
Claude is well-known for its concise response, but it also has a propensity for being verbose.
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