In the space of 12 months, conversation surrounding artificial intelligence – both in business circles and the public sphere – has reached new and arguably unforeseen heights.
Here, Business Chief takes a look at the top 10 GenAI platforms, many of which are being created and utilised by some of the world’s biggest companies.
Remarkably, the chatbot had one million users within five days of being launched and no less than 100 million active users by January 2023.
Release of the ChatGPT has rapidly accelerated public interest in large language models (LLM) and demonstrated their potential to dramatically enhance business operations and productivity.
The platform has been trained to follow an instruction in a prompt, provide a detailed response, answer follow-up questions and even its own mistakes.
Moreover, the model is now able to access up-to-date information, having previously been trained to use data up to September 2021.
OpenAI then announced the launch of GPT-4, the latest iteration in its deep learning model, which it says ‘exhibits human-level performance’ on various professional and academic benchmarks.
The tool seeks to combine the breadth of the world’s knowledge with the power, intelligence and creativity of large language models, drawing on information from the web to provide high-quality, up-to-date responses.
As it stands, Bard is available in 46 different languages and more than 230 countries and territories.
The big question facing Google at the moment is how it can keep pace with the frontrunners in the AI race.
Senior managers have even issued a directive that all the company’s biggest products must incorporate generative AI capabilities within a matter of months, as has been seen with the GenAI-powered search experience.
3. Claude 2
Founded by siblings Daniela and Dario Amodei, ex-employees of OpenAI, Anthropic is an AI safety and research firm delving into the technology’s various opportunities and risks.
Claude has received praise for being easy to converse with and clearly explaining its thinking, but fresh improvements have been made on the previous model with regards to coding, mathematics and reasoning.
4. Bing AI
Bing AI is capable of delivering better search, more complete answers, a new chat experience and the ability to generate content – all powered by OpenAI’s latest and most powerful GPT 4 model.
In addition to the customary search function, Bing Image Creator makes Bing the only search experience with the ability to generate both written and visual content in one place.
Sensei is designed to bring the power of AI and machine learning to experiences, thus deepening insights, enhancing creative expression, accelerating tasks and workflows, and driving real-time decisions.
Adobe, the company responsible for Sensei, has announced numerous generative AI innovations across its Experience Cloud aimed at redefining how businesses deliver customer experiences.
Sensei leverages multiple LLMs within the Adobe Experience Platform, depending on unique business needs, while Adobe Firefly is focused on images and text effects and is designed to generate content safe for commercial use.
6. DALL-E 2
DALL-E, a deep learning model capable of creating images through natural language, was first introduced in 2021.
Then, last year, OpenAI announced its improved DALL-E 2 system, capable of creating original, realistic images and art from a text description, combining concepts, attributes and styles. Images created by DALLE-2 are said to be four times greater in resolution compared to its predecessor.
Even with the same prompts, DALL-E 3 – now in the research preview stage – is set to deliver further, significant improvements.
7. GitHub Copilot
GitHub Copilot has the potential to be every web developer’s best friend.
Users can begin writing code and receive autocomplete-style suggestions from the tool, or write a natural language comment describing what they want the code to do.
Powered by a GenAI model developed by GitHub, OpenAI and Microsoft, the Copilot is able to analyse the context of whatever file is being edited, as well as related files, before offering suggestions from within the text editor.
8. Generative Design
Designers or engineers can start by inputting their design goals into the software, along with certain parameters like performance or spatial requirements, materials, manufacturing methods and cost constraints.
The platform then explores all the possible permutations of a solution, testing each iteration to learn what works and what doesn’t work.
Autodesk recently worked with NASA to create faster, lighter, more cost-efficient structures.
The company bills itself as the number one AI video generator and is on a mission to empower everyone – regardless of their technical capabilities or the equipment at their disposal – to make video content.
Harnessing the power of artificial intelligence, Synesthesia is attempting to radically change the process of content creation and unleash human creativity for good.
It achieved an estimated rank within the top 54% of participants in programming competitions by solving new problems that require a combination of critical thinking, logic, algorithms, coding and natural language understanding.
The tool uses transformer-based language models to generate code at an unprecedented scale and then filter the output to a small set of “promising programs”.
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