Dhexkab
Embeddings
Af Soomaali
Waa lambarro matalaayo xogta—sida erayo, jumlado, ama sawirro—kuwaas oo muujinaya macnaha iyo xiriirka xogta waxayna u dhigan tahay qaab mashiinnadu fahmi karaan. Tusaale ahaan, isbaridda luqadda dabiiciga ah, erayada sida “boqor” iyo “boqorad” waxaa tiro ahaan lagu matali karaa inay yihiin kuwo isku dhow, taasoo muujinaysa isku ekaanshahooda macno. Tani waxay u suurto gelisaa nidaamyada AI GG inay qabtaan hawlo sida turjumaad luqadeed, falanqaynta dareenka, iyo aqoonsiga sawirrada iyadoo la fahmayo macnaha iyo xiriirrada ku dhex jira xogta.
Ingiriis
Embeddings in AI are numerical representations of data—such as words, sentences, or images—that capture their meaning and relationships in a format machines can understand. For instance, in natural language processing, words like "king" and "queen" are represented numerically as being close to each other in a multidimensional space, reflecting their semantic similarity. This enables AI systems to perform tasks like language translation, sentiment analysis, and image recognition by understanding and processing the underlying context and relationships within the data.