Are Developers Embracing ChatGPT over Stack Overflow?
03/02/2023
6:42 pm
The rising popularity of ChatGPT causing a stir amongst users of Stack Overflow
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.
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 solve problems with LLMs
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 in 2014. Same is the case with Facebook and FAIR since 2013.
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?
The model trained on 2.7 billion parameters is much more accurate than the model trained on 175 billion parameters.
Activision Blizzard has filed a patent for video game music generation, and it might change the industry as we know it.
Meta releases Galactica, a large language model for science research
NVIDIA recently released its text-to-image model, called eDiffi. But is it too late?
Developers will be able to build the AI system into their applications, services, and websites.
Machine learning algorithms are increasingly being deployed in high-stake applications. Nevertheless, fairness in ML remains a problem
As much as a programmer likes machine learning, there must come a time when they are overwhelmed by the study process. All the coding, maths and infrastructure of it might make one reach out for that extra cup of coffee. Now, e-commerce giant Amazon has made the world of generative artificial
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