ChatGPT a natural language processing tool driven by AI technology that allows us to have human-like conversations and much more with a chatbot. The language model can answer questions, and assist us with tasks such as composing emails, essays, and code. Usage is currently open to public free of charge because ChatGPT is in its research and feedback-collection phase, as of Feb 2023.
According to Wikipedia : ChatGPT is a chatbot developed by OpenAI and launched in November 2022. It is built on top of OpenAI's GPT-3 family of large language models and has been fine-tuned using both supervised and reinforcement learning techniques.
The growing use of AI has hugely created demand for chips that can process AI tasks at a faster pace while using less power. The importance of AI chips is aptly defined by the Beijing Innovation Center for Future Chips and Tsinghua University, wherein it states: ‘It is no exaggeration to say, “No chip, no AI” given the irreplaceable role of AI chip as the cornerstone for AI development and its strategic significance.’
Artificial Intelligence has made life easier than ever. However, in order to derive meaningful results from existing deep learning models, organizations require increased computing power and memory bandwidth. Additionally, AI chips enable parallel computing capabilities thereby making them way more popular. These the top 5 AI chip makers may dominate AI Chips development in 2023.
IBM: made headlines with its “neuromorphic chip” that contains 5.4 billion transistors, 1 million neurons, and 256 million synapses. The company is actively involved in preventing fraud and memory breach, compared to previous AI chips of the company.
Nvidia: makes AI chips such as Volta, Xavier, and Tesla which are designed to solve business problems in various industries. Nvidia’s new AI chip model is all set to create wonders in 2023.
Intel: one of the largest players in the chip market? No wonder why Intel makes it to the list of top 10 artificial intelligence chip makers n 2023. Intel NCS2 is the latest AI chip from Intel and was developed specifically for deep learning.
Google Alphabet: Google Cloud TPU is the purpose-built machine learning accelerator chip that powers Google products like Translate, Photos, Search, Assistant, and Gmail. A special feature to note is that it can be used via the Google Cloud implementation.
Advanced Micro Devices (AMD): focuses mainly on graphics cards and GPUs. Wondering what is AMD’s role in AI? Well, it aims to solve representation of the knowledge problem.
Microhm Electronics Limited and Groups: are also informed by our precision Electronics Resistors and Chips end users to upgrade all our production capacity and logistic strategy to meet with the possible huge AI Chips demand rush.
