Generative AI Explained: ChatGPT, Midjourney, and other apps

Bria leverages AI to create customized and ethical visual content at scale and with ease. It’s designed for professional teams, enterprises, artists, and developers who require visually engaging marketing copy, social media assets, advertising content, or any other creative project under the sun. NightCafe “gamifies” the typical image generation approach through friendly challenges between its regular users to build a stronger community. You can also access different AI algorithms from NightCafe to experiment with similar tools, including DALL-E 2 and Stable Diffusion, without leaving the app.

Indeed, we follow strict guidelines that ensure our editorial content is never influenced by advertisers. ElevenLabs have developed an advanced text-to-speech and voice cloning tool. Even with all of the functionality ClickUp AI already offers, there’s more on the horizon! This is just the beginning for ClickUp AI, and with its free trial, everyone has the opportunity to experience it. Users also have the option to buy additional credits outside of their subscription, starting at $7.99 for every 100 credits.

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On the other hand, for long-form original blog posts, it could make a difference. Either way, the transparency in which model you’re using at any given time is a huge bonus. While almost all the tools on this list use GPT, most are pretty vague about which particular version of it they use at any given time. This matters because the most basic version of the GPT-3.5 Turbo API costs $0.002/1K tokens (roughly 750 words), while GPT-4 starts at $0.06/1K tokens, and the most powerful version costs $0.12/1K tokens. All this suggests that most apps may not use GPT-4 in all circumstances, and instead probably rely on one of the more modest (though still great) GPT-3 models for most text generation.

ChatFlash is an AI generative tool that helps us to create content through a chat option. GitHub Copilot, in partnership with GitHub and OpenAI, created Copilot, a code completion Artificial Intelligence tool. As Yakov Livshits well as pre-made scripts, it is possible to share a URL of a blog article or post. In this case, Pictory singles out the most relevant points and suggests its own script which can then be turned into a video.

Using observability to detangle and understand production

Let’s dive into the world of generative AI and discover the tools that can elevate your marketing efforts to new heights. Their two-by-two matrix also separates tools used internally versus public-facing processes. Nurture and grow your business Yakov Livshits with customer relationship management software. Just type a command into the platform’s interface, and you’ll get a response. You can ask ChatGPT to help you research different topics, create new copy, or paraphrase existing work.

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.

This generative AI model provides an efficient way of representing the desired type of content and efficiently iterating on useful variations. The convincing realism of generative AI content introduces a new set of AI risks. It makes it harder to detect AI-generated content and, more importantly, makes it more difficult to detect when things are wrong. This can be a big problem when we rely on generative AI results to write code or provide medical advice. Many results of generative AI are not transparent, so it is hard to determine if, for example, they infringe on copyrights or if there is problem with the original sources from which they draw results. If you don’t know how the AI came to a conclusion, you cannot reason about why it might be wrong.

Public Generative AI Tools

In this context, however, there remains an important obstacle to overcome, namely copyright infringement caused by the inclusion of copyrighted artwork in training data. Generative AI has many use cases across various industries, including content creation, code completion, image generation, video generation, building AI chatbots and more. It allows users to create custom synthetic voices that sound like real humans, which can be used in a variety of applications such as virtual assistants, audiobooks, and video games.

By constantly iterating and improving the model, the generator and discriminator produce increasingly realistic and high-quality generated content. Generative AI can learn from existing artifacts to generate new, realistic artifacts (at scale) that reflect the characteristics of the training data but don’t repeat it. It can produce a variety of novel content, such as images, video, music, speech, text, software code and product designs.

Strategies to Edit Production Data

It can be fascinating but not surprising (as ChatGPT already proved its capabilities with its use cases) about generative AI technology. When you click through from our site to a retailer and buy a product or service, we may earn affiliate commissions. This helps support our work, but does not affect what we cover or how, and it does not affect the price you pay.