Driven by a collaborative approach, Indian space tech startups work together rather than engaging in cutthroat competition.
Earlier today, Runway AI also raised $141 million funding from Google, NVIDIA, and Salesforce
Dust will locate the relevant internal data on platforms like slack and utilise it as the framework for language learning models (LLMs).
Globally, there are only 259 generative AI startups, and India has less than 20 pure-play generative AI startups
Indians are strong technically, but lack understanding of the second order effects of large language models (LLMs), says one of the lead investors from Lightspeed Ventures.
Entrepreneurs should closely monitor the progress and developments in this domain of AI and machine learning. By doing so, they can not only gain inspiration for innovative business ideas but also enhance the operational efficiency and effectiveness of their startups.
The user interface of Apple’s AR/VR headset bears an uncanny resemblance to that of an Indian startup working on smart glasses since 2020
A majority of the companies today, including the likes of Tesla, Figure and others, are still in the prototype and experimentation stage.
Google has PaLM and LaMDA, why does some of its funded startups still prefer GPT in their products and services?
The company has their own private data centre and is in strategic partnership with CRM providers
The startup’s goal is to serve people that know the basics of data science, and really help them accelerate on that front
There is a good reason for the inclusion of Databricks in the Forbes list – stability. And much that a lot of the new flash-in-the-pan AI startups can learn from
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