5 AI Trends to Watch out for in 2022
The COVID-19 pandemic has accelerated the adoption of artificial intelligence, or machine learning, in 2021. The need for automation among enterprises combined with the advancements in AI hardware and software is turning applied AI into a reality.
Here are five AI trends to expect in 2022:
Trend 1: Large Language Models (LLM) Define the Next Wave of Conversational AI
Language models are based on natural language processing techniques and algorithms to determine the probability of a given sequence of words occurring in a sentence. These models can predict the next word in a sentence, summarize textual information, and even create visual charts from plain text.
Large language models (LLMs) are trained on massive datasets that contain enormous amounts of data. Google’s BERT and OpenAI’s GPT-2 and GPT-3 are some examples of LLMs. GPT-3 is known to have 175 billion parameters trained on 570 gigabytes of text. These models can generate anything from simple essays to complex financial models.
AI startups including OpenAI, Hugging Face, Cohere, AI21 Labs are pushing the boundaries of LLM by training models with billions of parameters.
The South Korean company Naver announced that it had built one of the most comprehensive AI-based language models, HyperCLOVA, a GPT-3-like Korean language model. Huawei’s PanGu-Alpha and Baidu’s Ernie 3.0 Titan are trained on terabytes of Chinese datasets comprising ebooks, encyclopedias, and social media.
In 2022, we will see large language models becoming the foundation for next-generation conversational AI tools.
