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.
Flyfish enables brands to instantly build AI sales advisors that engage in one-on-one data-driven shopping experiences with consumers, driving revenue and lifelong consumer relationships.
The company is also planning to develop proprietary language models and integrate general-purpose LLMs to cater to specific customer requirements.
This move comes as organisations increasingly adopt hybrid cloud architectures, combining private and public clouds with on-premises solutions.
Once you provide an outline of the content you wish to share in the designated post section, the generative AI system will produce an initial draft within seconds.
With AI applications that teach all subjects including coding and computation, how relevant will teachers be in the future?
One of the co-authors of the paper said that using the textbook quality training data, the results were better than they had anticipated.
Tech giants like Meta, Nvidia, Microsoft, Google’s parent company Alphabet, and Oracle have experienced substantial gains in their stock prices due to the AI boom.
Like they say, all good things come to an end. But hardcore fans, who have grown up on The Beatles music, are now in a puddle of emotions, slowly realising that the loop is finally going to close
Google’s search dominance at 93% weakens against Microsoft’s 3% as OpenAI’s ChatGPT gains traction, but Google bounces back with AI-powered Search Generative Experience at Google I/O 2023, praised by beta users on social media
The integration of LLMs and Neo4j’s graph database technology improves efficiency and accuracy.
Globally, there are only 259 generative AI startups, and India has less than 20 pure-play generative AI startups
The big tech companies are currently driving an incredible amount of innovation and development, making it difficult to keep up with the constant stream of new models and technologies. These companies frequently host major events to showcase their latest advancements. Apple recently concluded its highly anticipated WWDC 23 event, while
The Indian edtech sector witnessed rapid growth during the pandemic, becoming the lifeline for remote learning. But things went south for them too swiftly
Green Software Foundation is working on a software carbon intensity score and a Carbon Aware SDK that developers can start using upfront
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 a recent blog post ‘Breaking the Language Model Barriers with LangChain’, associate consultant–Python and AI developer–at Infosys and Intel openAPI
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?
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