<prompt> Hlalosa hore na lera le kenyellelitsoeng ke eng le morero oa lona Thutong ea Mochini.nan  <response>: Instruction in English: Explain what an embedding layer is and its purpose in Machine Learning. . Response in English: An embedding layer is a type of layer used in artificial neural networks to learn a compressed representation of input data, commonly used with large categorical features, such as words or user IDs. It transforms high-dimensional input data, such as one-hot encoded vectors, into lower-dimensional continuous vectors. This layer is commonly used in natural language processing NLP tasks, such as text classification, language translation, and sentiment analysis, among others.The purpose of an embedding layer is to compress the input data while retaining its relevant information. By using dense, low-dimensional representations, the data can be better fed into the network and processed more efficiently. This process can also help uncover underlying relationships between different input elements, improve the generalization of the model, and reduce the risk of overfitting.In summary, an embedding layer is an essential component in many deep learning architectures, used to learn and represent input data efficiently. By doing so, it helps improve the performance of the model and enables more complex tasks to be performed. . Response in Sesotho: Lera le kentsoeng ke mofuta oa lera le sebelisoang ho marang-rang a maiketsetso a methapo ea kutlo ho ithuta tlhahiso e hatisitsoeng ea data e kentsoeng, e sebelisoang hangata ka likarolo tse kholo tsa likarolo, joalo ka mantsoe kapa li-ID tsa mosebelisi. E fetola lintlha tse kentsoeng tsa maemo a holimo, joalo ka li-encoded vectors tse chesang, hore e be li-vector tse tsoelang pele tsa boemo bo tlase. Lera lena le sebelisoa hangata mesebetsing ea tlhaho ea puo ea tlhaho NLP, joalo ka ho hlophisa mongolo, phetolelo ea puo, le tlhahlobo ea maikutlo, hara tse ling. Sepheo sa lera le kentsoeng ke ho hatella lintlha tse kentsoeng ha u ntse u boloka tlhahisoleseling e nepahetseng. Ka ho sebelisa litšoantšo tse teteaneng, tse tlaase-tlaase, lintlha li ka fepeloa hamolemo ho marang-rang le ho sebetsoa ka mokhoa o atlehileng haholoanyane. Tsebetso ena e ka boela ea thusa ho sibolla likamano tse teng lipakeng tsa likarolo tse fapaneng tsa ho kenya, ho ntlafatsa kakaretso ea mohlala, le ho fokotsa kotsi ea ho fetella. Ka bokhutsoane, lera le kentsoeng ke karolo ea bohlokoa meahong e mengata e tebileng ea ho ithuta, e sebelisetsoang ho ithuta le ho emela lintlha tse kentsoeng ka nepo. Ka ho etsa joalo, e thusa ho ntlafatsa tsebetso ea mohlala mme e nolofalletsa ho etsa mesebetsi e rarahaneng haholoanyane. 