The chip maker company Nvidia has taken initiative to provide 4 AI courses free of charge. In general, each of these courses can be priced up to $ 5. The courses are part of the Nvidia Developer program. The aim of this initiative is to provide artificial intelligence and sophisticated knowledge of artificial intelligence to enthusiasts and technology.
These courses are divided into five major categories, such as generrative AI and Large Language Models (LLM), graphics and simulations, excreted computing, data science and deep learning.
Whatever can be known from the course
Each course is designed as a self-paid and its duration is from two to eight hours. That is, you can do the course at your own convenience and speed. For example, the 'Generative AI and LLAs' categories are highly popular' Prompt Engineering with Lama 2 courses, which will teach users to use big language models effectively.
On the other hand, the 'Deep Learning' section has eight courses, which is the largest section of the program.
To take this opportunity, you need to join the Nvidia Free Developer Program. Once registered, you will get access to the entire course catalog and learn at your own speed.
Nvidia announced this at a time when China's startup department 'and 3' AI model technology has stirred the world.
This model has gained fame for its excellent ability, training cost and ability to run locally. The model is very effective as OpenAI's ChatzPT's performance.
Recently, the Share Market has been rolling in the rise of DIPSC AI. Due to this model, Nvidia's share price record has dropped by $ 1 billion last week, which is the largest amount of a company in US history so far. It is more than the total market value of 5 companies.
The market value of Alphabet, the main company of Meta and Google has also been greatly reduced. At the same time, the market value of NVIDA contestants Marvel, Broadcom, Micron and TSMC has also decreased. Similarly, the market value of Oracle, Vagote, Constitution, Newscale and other data centers has also dropped drastically.
However, the DIPSC R3 model has been trained using the Nvidia H1 chip. However, the trained model is using Huawei's ASEC GPU to work in real situations. As a result, this innovation has reduced dependence on US technology.
References: Takreder
