<prompt> Mohopolo oa ho ithuta ho fetisa ho AI ke ofe?nan  <response>: Instruction in English: What is the concept of transfer learning in AI? . Response in English: Transfer learning is a concept in Artificial Intelligence AI and machine learning that refers to the ability of a model to use and apply previously learned knowledge to new, related tasks. This can save time and resources by reusing existing models and data, rather than training a new model from scratch.In transfer learning, the model is pre-trained on a larger dataset, and then fine-tuned on a smaller, task-specific dataset. This is particularly useful when the new task has limited data, as the model can leverage its pre-existing knowledge.One example of transfer learning is in image recognition. A model can be pre-trained on a large dataset of general images, and then fine-tuned on a smaller dataset of specific images, such as medical images. The model can use its pre-existing knowledge of general image features to better identify specific features in the medical images.Overall, transfer learning can improve the efficiency and effectiveness of AI and machine learning models, allowing them to learn and adapt to new tasks more quickly. . Response in Sesotho: Ho ithuta ho fetisa ke mohopolo ho Artificial Intelligence AI le ho ithuta ka mochini o bolelang bokhoni ba mohlala oa ho sebelisa le ho sebelisa tsebo e ithutoang nakong e fetileng mesebetsing e mecha, e amanang. Sena se ka boloka nako le lisebelisoa ka ho sebelisa mefuta e teng le data hape, ho fapana le ho koetlisa mohlala o mocha ho tloha qalong. Thutong ea phetisetso, mohlala o koetlisitsoe esale pele ho dataset e kholoanyane, ebe o lokisoa hantle ho dataset e nyane, e ikhethileng ka mosebetsi. Sena se na le thuso ka ho khetheha ha mosebetsi o mocha o na le lintlha tse fokolang, kaha mohlala o ka sebelisa tsebo ea oona ea pele. Mohlala o mong oa thuto ea phetisetso e mabapi le temoho ea litšoantšo. Moetso o ka koetlisoa esale pele ka pokello ea data e kholo ea litšoantšo tse akaretsang, ebe o lokisoa hantle ho dataset e nyane ea litšoantšo tse ikhethileng, joalo ka litšoantšo tsa bongaka. Mohlala o ka sebelisa tsebo ea oona ea pele ea likarolo tsa setšoantšo se akaretsang ho tseba hantle likarolo tse itseng litšoantšong tsa bongaka. Ka kakaretso, ho ithuta ho fetisa ho ka ntlafatsa katleho le katleho ea AI le mefuta ea ho ithuta ea mochini, ho ba lumella ho ithuta le ho ikamahanya le mesebetsi e mecha kapele. 