These models play a crucial role in helping individuals comprehend and navigate the ever-evolving landscape of new technologies. As time progresses, these models are continuously expanding their linguistic range and improving their ability to understand human thoughts and language.
IBM’s research highlights one approach to developing applications that can assist people across various domains by teaching machines human communication and facilitating seamless interactions between humans and machines.
Prominent examples of language models include LaMDA, LLaMA, and GPT, developed by Google, Facebook, and Open AI, respectively. These models have extensively learned trillions of words and phrases across more than fifty languages worldwide. Leveraging the vast amount of data they acquire, these models can generate accurate responses to user queries.
In Ethiopia, some applications utilize natural language processing, machine learning, and other artificial intelligence technologies to offer services such as voice-to-text conversion, language instruction, and related tasks. The Learn and Transcribe ET Lang application, created by the Ethiopian Artificial Intelligence Institute, serves as an excellent illustration of this.
To explore the full capabilities of this institute’s remarkable application, you can access it through the following link: https://play.google.com/store/apps/details?id=et.aic.learn_and_transcribe_et_lang&pcampaignid=web_share
