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With a wide range of Microsoft Office products, Loop enables a multi-faceted approach where all products can be used at a single destination.
Explore the transformative world of Generative AI, a cutting-edge technology revolutionising content creation across industries. Learn about its applications in text, image, audio, and video generation. Discover how businesses leverage generative models to enhance productivity, creativity, and innovation. Understand the ethical considerations and future potential of this rapidly evolving field that’s reshaping how we interact with artificial intelligence.
With a wide range of Microsoft Office products, Loop enables a multi-faceted approach where all products can be used at a single destination.
Most people associate ‘Generative AI’ with some type of end-of-the-world scenario. In actuality, generative AI exists to facilitate your work rather than to replace it. Its applications are showing up
Adobe flushes out various generative AI based services besides partnering with NVIDIA and Accenture.
In this era of content, the use of technology, such as AI and data analytics, is becoming increasingly important as it can help content creators personalise their content, improve its
Scheduled between March 20 and 23, this year’s GTC will focus on AI computing systems, generative AI, industrial metaverse, and robotics from Nvidia
OpenAI is posing a threat to every other big-tech with its generative AI. Google is now integrating almost all of their technologies and platforms with AI. Why would Meta lag
The company has already identified use cases across the board.
With this acquisition, Stability AI looks to integrate its generative AI (Stable Diffusion) into the Clipdrop platform to make it accessible to creators.
OpenCV chief Satya Mallick believes we should look at AI as a collaborator instead of a competitor that humans can leverage to be more productive
Even though the enterprise was harnessing the powers of generative AI in 2022, if we talk about research, 2022 was definitely the year of protein fold predictions
Let’s imagine—what if ChatGPT suddenly had a voice? Sounds optimistic and scary at the same time!
Is the new job role – deemed as ‘the career for the future’ – only a passing fad?
With generative AI, Alexa has the potential to be the google search for voice inputs.
Currently in its beta phase, DJ will offer a tailored lineup of music and commentary of the tracks and artists in a ‘realistic’ voice.
There is very little reason to believe that VCs care about something other than money
Many developers go down the forbidden lane hoping for the lucrative salaries that illegal work comes with. However, not all that shines is gold
The rising popularity of ChatGPT causing a stir amongst users of Stack Overflow
ChatGPT– the most talked about AI development in recent times – has brought AI excitement back in investors as most are eager to invest in teams and startups looking to
Shutterstock is one of the first companies to pay artists for their contributions to training machine learning models.
In the face of a tech downturn, AI remains on the rise, breaking new ground every day
OpenAI has released ChatGPT as a service and product for everyone to use. But most of the ideas of generative models came out of Google Brain since 2011 and DeepMind
Muse claims to be faster as it uses a compressed, discrete latent space and parallel decoding.
Noam Chomsky believes that no matter how many models come with updated data and parameters, the fundamental flaw in the LLMs can never be remedied.
The generative AI model uses BCG-3 to generate PowerPoint presentations from a text prompt.
AlphaFill adds cofactors and ligands to protein-prediction models using sequence and structure similarity.
Although there are plausible criticisms of generative models, a lot of models like ChatGPT, DALL-E, and Stable Diffusion do have real-world applications and proved to be useful in many scenarios
For users, the interface still stays the same, but the recommendations at Housing.com have become smarter than ever
Scaling language models is increasingly becoming difficult with lack of high-quality data being the biggest challenge.
LeCun clearly is at odds with reinforcement learning and believes that for AI with common sense, it is not the way forward
VCs have been banking on generative AI companies, but what is their real moat?
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