Part 5/10:
In innovative research, LCMs utilize sentences as stand-ins for concepts, as each sentence typically conveys a singular, coherent idea. Researchers employed a tool known as Sonar, which generates numerical representations called "sentence embeddings." These embeddings uniquely encapsulate the meaning of sentences, akin to a fingerprint for textual concepts. Notably, Sonar is versatile, accommodating 200 languages for text and even allowing for speech processing in 76 languages.
LCMs work by predicting the next sentence not in terms of words but as representations within an abstract conceptual framework. This advancement means they can convert ideas into comprehensible sentences in various languages—their predictions ground in a deeper understanding of the intended meaning.