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The debate about making language models larger or smaller never ends. It probably should now.
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 debate about making language models larger or smaller never ends. It probably should now.
Accenture has identified five broad areas where generative AI can be implemented – advising, creating, automation, software creation and protection
With the help of a 12-member team split into two groups, Whatfix is working towards generative AI implementation across its products and functions with a focus on responsible AI.
LangChain has become one of the most talked about topics in the developer ecosystem, especially for those building enterprise applications using large language models for natural interactions with data. In
Had you taken a sip everytime Nadella uttered “Copilot” at Microsoft Guild, you would have had woken up with a very bad hangover the next day.
“AI can still be very literal in its interactions, while humans don’t tend to express emotions in simple and straightforward ways.”
Every tweet posted on the platform, becomes the property of the social media giant and can be used by others who have access to its API
SingleInterface is currently using LLMs to try to replicate the personalities of a sales agent and solving the problem of customers
The only thing that generative AI is not capable of currently is generating money
The results of using generative AI, like any cognitive technologies, rely on how well the risks are managed, which have not received as much attention as their ability.
With nothing extraordinary to offer, is Meta’s AI Sandbox just another attempt to stay relevant in the AI race?
In conversation with Padmashree Shagrithaya, executive VP & MD – Insights and Data GBL, at Capgemini, on how the company is betting big on AI
IBM is the first company to address personalisation in generative AI, and it won’t be the last
This open language model for researchers is expected to release in early 2024.
Google has PaLM and LaMDA, why does some of its funded startups still prefer GPT in their products and services?
With Zoho’s foray into a web-browser space, will it be taking on dominant players such as Google and Safari?
Generative AI can analyse enormous volumes of data and patterns, but it cannot take the place of human originality, creativity, and common sense. Therefore, human oversight is essential for its
Can data sketching be used in large language models for building chatbots?
An exclusive conference on Generative AI and the Future of Cloud, organised by Rakuten India, in association with AIM, featuring experts from the domain. Join us on May 31 and
Realising the full potential of this stepchange in AI technology will depend on a number of variables, including fundamentally rethinking how work is done and assisting people in adapting to
Will Wikipedia follow in the footsteps of Reddit, Stack Overflow, and other platforms by limiting access to its data for AI purposes?
Enterprises look for tech enablers that can bring in the domain expertise for particular use cases
The move is more aligned with Google’s attempt to make its position stronger in the losing battle against OpenAI and Microsoft
In collaboration with OpenAI, the software company is integrating a generative AI feature in its cloud software suite.
On QoQ, the company reported revenue growth of 0.6%, which although better than Infosys’ -3.2%, however lesser than TCS’ reported revenue growth of 10.7%
UniPi will be able to help agents learn how to do many different tasks in many different environments in the real world.
Instead of directly using the LLMs, hackers have been using the hype surrounding the technology to execute attacks
After calling for a pause on giant AI experiments, Musk is now building his own generative AI.
The sandbox engine uses generative agents to populate the environment with twenty-five interactive agents who can be communicated with using natural language
“Quantum generative AI has the potential to revolutionise drug and material design by helping researchers to generate new and innovative compounds that could not be discovered using traditional methods.”
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