ChatGPT Fan? Here Are 10 More Generative AI Tools Worth Trying

However, the following link provides a curated list of examples, including ones that come up in our conversations with faculty. Every generative AI tool listed in this blog post has special abilities to help scale your business. As using all of them can put you in a spin, it is crucial to choose the one that works for your business best. It can be integrated with popular apps like Google Sheets, Notion, HubSpot, and more, allowing users to automate repetitive tasks and increase efficiency.

• From stock images to book covers, posters, and more, Stockimg can provide creative brand solutions for a wide range of use cases.
• You’ll see your SEO score actively rising as you instruct the AI on what to write, and you can even benchmark your content against your competition.
• It allows organizations to compare tools that optimize against tools that innovate.
• Jasper specializes in creating long-form content like blog articles, scripts, outlines, and more.
• One Google engineer was even fired after publicly declaring the company’s generative AI app, Language Models for Dialog Applications (LaMDA), was sentient.

The tool is currently considered a Google Experiment and is only available to a limited number of users in the United States and the United Kingdom. GitHub Copilot is the first of the Microsoft Copilot technologies to hit the market and has seen great success. The tool is designed to transform natural language prompts into code recommendations for all languages in public repositories. For languages like JavaScript that are widely used, GitHub Copilot is able to generate a wide range and quantity of coding suggestions. ChatGPT is OpenAI’s most popular tool to date, giving the everyday user free access to basic AI content generation. For users who require more processing power, early access to new features (including GPT-4), and other benefits, ChatGPT launched its pilot paid plan, ChatGPT Plus, in March 2023.

The best AI writing generators in 2023

They can generate exact images and don’t have to be restricted by the availability of stock images. Another important area where AI can be extremely helpful is audio creation. With AI-based text-to-voice tools rapidly matching up with human voice, creating and updating audio will be a matter of a few clicks. AI tools can be used to create scenarios, conversations, game concepts, quizzes, reference material, and many more. AI can greatly reduce the time required by Subject Matter Experts and Instructional Designers to generate content.

All of our best apps roundups are written by humans who’ve spent much of their careers using, testing, and writing about software. We spend dozens of hours researching and testing apps, using each app as it’s intended to be used and evaluating it against the criteria we set for the category. We’re never paid for placement in our articles from any app or for links to any site—we value the trust readers put in us to offer authentic evaluations of the categories and apps we review. For more details on our process, read the full rundown of how we select apps to feature on the Zapier blog. Some of the bigger apps are also integrating their own fine-tuning or using other LLMs like Claude. But most are really just wrappers connected to OpenAI’s GPT-3 and GPT-4 APIs, with a few extra features built on top—even if they try to hide it in their own marketing materials.

D-ID Creative Reality Studio

When using Yakov Livshitss, it is important to avoid entering sensitive information to protect privacy and ensure data security. These tools may not guarantee the confidentiality of the information shared. Please refer to the University of Michigan Safe Computing guidelines for AI tool use. Their two-by-two matrix also separates tools used internally versus public-facing processes.

💡 Expanded Word Limit – Unlike the free version, it can provide responses comprising up to 25,000 words, allowing for more in-depth and detailed interactions. This achievement holds promising implications for future collaborations and innovative partnerships between humans and machines. Developed by DeepMind, a subsidiary of Alphabet, the parent company of Google, this groundbreaking technology has showcased its capabilities by achieving a competitive level of performance in programming competitions.

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Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

For example, Machine Learning algorithms, such as those used in Natural Language Processing (NLP) or computer vision tasks, are often used as components in generative AI systems. Additionally, many generative AI tools have the capability to be easily integrated into existing databases and data analysis software suites such as Python-based frameworks like Pandas or SciPy. Finally, some generative AI tools also have the ability to interface with popular front-end web applications and development frameworks like React or Angular. By connecting these different pieces of software together using generative AI technology, companies can create powerful automated systems that rapidly generate outputs from vast amounts of data. Multimodal models are a class of generative AI models capable of comprehending and processing multiple types of data concurrently, such as text, images, and audio, enabling them to generate more complex outputs. These models can process multiple types of data, resulting in sophisticated outputs such as images generated from text prompts, showcasing their versatility and potential for a wide range of applications.

Like your own personal AI Scrum Master, Spinach can run your daily standups, create meeting summaries, and make ticket suggestions at the click of a mouse. This agile meeting tool runs on GPT-4 technology and integrates with a slew of other work tools (including ClickUp) for more efficient processes. Instead of meeting recordings or transcripts, Spinach generates organized summaries to document blockers and encourage your team to take action. GitHub Copilot is an AI pair programmer that turns your natural speech into code with autocomplete suggestions in dozens of languages, all from your editor. This tool is powered by OpenAI Codex—another AI coding software—and therefore creates more complete code than Codex and supports more programming languages. ClickUp is the only productivity software powerful enough to bring all of your work together across apps into one centralized work hub.

Popular AI Tools

It has brand voices, an infobase, a chatbot, and team features (though there isn’t a browser extension). I’ve been covering this kind of generative AI technology for almost a decade. Since AI is supposedly trying to take my job, I’m somewhat professionally interested in the whole situation. These AI writing tools are getting incredibly impressive, but you have to work with them, rather than just letting them spit out whatever they want.

Poe is a platform that provides access to the major chatbots like GPT-4, Claude, Llama, etc., in one place. It is similar to ChatGPT and has the ability to process large amounts of text and automate workflows. Bard is a chatbot developed by Google, which is seen as Google’s counterpart to OpenAI’s ChatGPT. GitHub Copilot is an AI code completion tool that Yakov Livshits analyzes code and provides instant feedback and relevant code suggestions. Quillbot is a useful tool for those who want to produce and proofread personal and commercial content that’s fluid and easy to read. The rise of AI technologies and their integration into mainstream products has led to tremendous virtual assistant software technology evolution…

Voicemaker

In theory at least, this will increase worker productivity, but it also challenges conventional thinking about the need for humans to take the lead on developing strategy. The benefits of generative AI include faster product development, enhanced customer experience and improved employee productivity, but the specifics depend on the use case. End users should be realistic about the value they are looking to achieve, especially when using a service as is, which has Yakov Livshits major limitations. Generative AI creates artifacts that can be inaccurate or biased, making human validation essential and potentially limiting the time it saves workers. Gartner recommends connecting use cases to KPIs to ensure that any project either improves operational efficiency or creates net new revenue or better experiences. In addition to textual content, AI tools can be used to generate characters, images, and illustrations to support textual content.

Don’t forget to tell me what you think about this new technology for AI content generation in the comment section below. While substantial customization still needs know-how, adopting a generative model for a particular job can be done with relatively low numbers of data or examples through APIs or by quick technology. OpenAI, which counts Elon Musk as one of its co-founders, has developed a language model that is close to a conversation with humans. It is simple and code-free to centralize all of your data on your website with the Botsonic AI chatbot builder. GrowthBar is an AI writing tool for SEO professionals, but it also has a chat feature that behaves nearly identically to generative AI. Read on to learn more about the advantages of using generative AI tools and the features of the top ten tools on the market.