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Introduction
Lately, AI has begun to surprise us by doing things we used to think only humans could do, like generating human-like responses, making realistic pictures, sounds, art, and many more. This type of AI that can generate things from scratch is a specific field of AI called Generative AI. It is becoming so popular today because of the impressive results we are getting after training these models on a vast amount of data.
Today, there are lots of Generative AI tools, some you can use for free, some not, but they're all super amazing. In this article, we'll check out the top 5 Generative AI tools that can make your life easier. So let's get started!
Understanding Generative AI
In the past, AI mainly helped analyze data and make predictions for different industries, known as Discriminative AI. This AI class could sort things and predict based on what it learned from a lot of data.
Now, there's Generative AI, which not only predicts but creates new stuff, like text, images, and more. It uses advanced Deep Learning techniques and needs lots of data to learn from, like terabytes of data. Then, a generative model takes this data and makes something new based on what it learned. For instance, Large Language Models (LLMs) read tons of text and then generate new responses. This happens by adjusting the model's internal parameters. When trained on a huge amount of data, LLMs don't just understand patterns but also how language itself works.
LLMs are just one kind of Generative AI. There are others like Diffusion models that create awesome images from text, and then there are voice-generation models that can make computer voices sound almost human, there are a ton of other types of Generative AI and we are still researching new ways to apply them in the real world.
Why Generative AI Tools?
Generative AI tools work like creative computer programs. They learn from lots of examples and then come up with their own ideas. It's like showing them many pictures of cats and dogs, and then they can make new pictures of cats and dogs all by themselves.
These tools can help artists make art, writers come up with stories, and even help designers design things. These tools can help to boost productivity and help to generate things without having to do all the hard thinking yourself.
Top 5 Generative AI Tools
Below is a list of the top 10 generative AI tools, complete with their applications.
1. ChatGPT
ChatGPT is an advanced Large Language Model chatbot developed by OpenAI based on Transformer Neural Network architecture. It is primarily based on the GPT-3.5, a Transformer-based model with billions of parameters trained on a vast portion of the internet including articles, e-books, and code.
The chatbot has caught the interest of millions of people worldwide with its human-like conversation, even after the first week of its release. Users can type their queries, which the chatbot understands using its advanced natural language understanding abilities, and provides highly coherent text in response which can be a simple factual answer, a blog, a poem, a short story, or even code.
Recently the company OpenAI also integrated their most capable model GPT-4 into the platform. GPT-4 is more powerful with advanced Natural language understanding and synthesis with advanced reasoning abilities than the previous models.
However, ChatGPT is not a perfect system, As per the company, the model is sometimes likely to make mistakes, falsify information, and even produce hallucinations.
Uses
- Reasoning From Textual Information.
- Writing blogs, articles, poems, etc.
- Programming and software development.
- Personal chatbot and productivity planner.
- Translation between different languages.
2. Midjourney
Midjourney is an Image generation AI developed by a San Francisco-based research lab Midjourney, Inc. The AI can generate high-quality realistic images from a simple text description called a prompt. It used sophisticated deep-learning techniques like Diffusion to generate images.
Midjourney became one of the favorite image-generation tools for many people. As a result, you can see people sharing super realistic images generated by Midjourney on social media platforms. From graphic designers seeking fresh inspiration to writers crafting engaging stories, Midjourney AI has demonstrated its versatility and utility across diverse creative domains.
Midjourney AI has evolved through a series of versions and updates, each bringing enhanced features and improved performance. From version 1 to the latest 5.2, it has improved a lot of capabilities like generating real-world images that cannot be distinguished from a photograph.
Midyourney can be accessible through their discord server and can be started by the "/imagine" prompt. You can also provide the resolution, clarity, and other types of parameters and the model generates it pretty well.
Uses
- Generating super realistic images
- Image generation for advertisements and social media
- Creating realistic landscapes and characters in Game development
- Visually appealing educational content
- Enhancing artworks
- Creating new images by combining multiple images
3. DALL-E 2
DALL-E is another text-to-image generation tool developed by OpenAI. It is occupied with advanced deep learning techniques to understand the user prompt and generate images accordingly. It uses a model called CLIP (Contrastive Language-Image Pre-training) developed by OpenAI itself to understand the relation between textual information and image, after that, a Diffusion model is used to convert the information provided by the CLIP model to an image.
DALL-E is a well-liked platform, much like Midjourney. When visiting their website, you will come across numerous images generated using the AI shared by the community. Additionally, DALL-E allows users to create variations based on sample images. This is particularly useful for individuals seeking to generate innovative concepts from pre-existing ones.
DALL-E 2 is the most recent iteration of DALL-E, released one year after the launch of DALL-E 1. DALL-E 2 is capable of generating high-resolution, realistic, and artistic images up to four times better than its predecessor DALL-E 1.
Uses
- Realistic and Artistic Image Generation.
- Inpainting features help to fill up the missing portions in an image.
- The outpainting feature helps to extend the image more often with a high level of creativity.
- Enhance Artwork and create new art.
4. GitHub Copilot
GitHub Copilot is a code-generation AI developed by GitHub and OpenAI. It's designed to assist developers by suggesting code and auto-completing the work. It completely changes the coding experience by suggesting code snippets, autocompleting lines, and even offering whole functions as developers write in their preferred programming languages. The AI behind it has been specifically trained to excel in this area, making it great for generating code even from scratch after providing a comment as input.
GitHub Copilot has become a top choice for programmers all over the world as an AI assistant and Pair programmer. It fits well with the tools they use and supports many coding languages, making it a favorite for both beginners and experienced coders. Copilot also gives instant coding suggestions and cuts down the time spent searching for help, making coding faster and problem-solving smoother.
Uses
- Faster Coding
- Error Fixing
- Coding Assistance
- Improve Coding
- Translation between programming languages
5. Bard
Bard AI is an experimental conversational AI tool developed by Google. It is powered by Google's large language models, including the lightweight version of LaMDA and the more advanced PaLM 2. It is more like a question-answering tool rather than a generation tool like ChatGPT but can also be used in some sort of generation tasks. Another feature of the bard is the ability to provide real-time information from the web which gives a little edge over ChatGPT when comes to real-time information.
Bard has an estimated 1 billion users worldwide. It became one of the suites of AI tools used by many people for question-answering and content generation. Since it is faster than other types of text generation tools, it can give you responses in seconds and even provide you different drafts of the same question you have asked.
When Bard was launched initially, it was based on the LaMDA (Language Model for Dialogue Application) Framework. But recently, Google announced that Bard is completely changing its code model from LaMDA to the most advanced version of PaLM 2 which is one of the powerful Large language models from Google.
Like other language models, Bard is also prone to false information and hallucinations in some cases.
Uses
- Question Answering
- Realtime Information gathering
- Planning
- Writing Emails
- Google Docs and Sheets migration
- Content generation
- Coding
Other Notable Mentions
6. AlphaCode:
AlphaCode is a system developed by Google DeepMind that uses deep learning to generate novel solutions to unseen competitive programming problems. It ranked within the top 54% in real-world programming competitions, demonstrating the potential of deep learning in problem-solving.
AlphaCode is also the name of a website that provides AI services, including data processing pipelines and efficient automation of everyday tasks with AI. The website also mentions an AlphaCode Attention Visualization tool that allows users to see which tokens the model attended to when generating the solution.
7. ElevenLabs Voice Generation:
ElevenLabs is a voice technology research company that developed the ElevenLabs Voice generation and cloning technology. ElevenLabs voice generator can produce super realistic human-like voices from text in 30 different languages.
Another fascinating innovation is their voice-cone AI. It can replicate your voice after receiving a few samples in just a few minutes, resulting in a virtual voice that closely matches your own, with improved precision.
8. Claude:
Claude is a chat-like LLM introduced by Anthropic, a new AI research startup company created by former members of OpenAI. Claude is developed to engage in conversation along with security concerns. It is also able to do a lot of NLP tasks like other LLMs like summarization, generating new ideas, translation, reasoning, coding, etc.
Claude is accessible via API and through the Anthropic chat interface. They have two versions of Claude called the Claude and Claude Instant, Claude is the most capable and powerful model while Claude Instant can be used for lightweight tasks. The interesting thing is that Claude can be seen in many apps that we might use every day, for example, Notion AI is based on Claude which brings the power of AI and productivity together.
Additionally, you can easily find Claude on Quora, where if you search for some questions, you'll see a bot answering alongside human conversations. That is an example of Claude in action.
9. Cohere Generate:
Cohere is reportedly developing generative AI models similar to OpenAI's ChatGPT, which has an almost human ability to generate English text in response to questions and prompts.
10. Synthesia:
Synthesia is an AI-driven video creation platform that produces videos and voice-overs from written content. Utilizing advanced deep learning techniques, it crafts videos that exhibit high realism, complete with accurate facial alignment and lifelike movements in presentation videos.
Synthesia is straightforward to use, and no additional peripherals, like cameras and microphones, are needed. The platform is optimized, so users are not forced to decide on tens of confusing settings. Whether users want to create presentations, sales pitches, how-to tutorials, or introductory videos, they can easily make them using simple written content.