Currently, there’s a widespread trend of enhancing capabilities in generative AI across startups and major tech companies, leading to the creation of new positions, specifically for experts in LLMs.
From the best AI inventions TIME enlisted, we’ve picked out our favourites. Take a look.
Andrew Ng, the pioneer of AI education, has consistently released courses covering a wide range of concepts, in partnership with other experts.
In response to the growing demand for AI proficiency, training in generative AI is crucial for corporations. They are partnering with online learning platforms to quickly upskill their employees.
Here’s a list of tech companies from NVIDIA to Salesforce offering internships for the summer of 2024
LLMs currently depend on human guidance and lack autonomous reasoning, whereas autonomous agents can operate independently, making real-time decisions and adapting to changing scenarios.
Be a part of these communities to boost your career in AI
The era of smart wearables powered by generative AI is here, promising a tech-savvy tomorrow
DeepMind unveiled versatile robot resources, a potential ImageNet moment in robotics. This development hints at knowledge transfer, reducing the need for task-specific model training
PyTorch 2.1 released a host of updates and improved their library. They also added support for training and inference of Llama 2 models powered by AWS Inferentia.
The event focuses on research in computer vision spanning diverse topics such as image and video processing, object detection, motion estimation, 3D vision and more.
Developers can use these to automate their code, clean bugs, write documentation, streamline pull requests and handle other repetitive tasks
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