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this is ritesh srinivasan and welcome to my channel in this video lets look at instructor which is an instruction fine-tuned text embedding model okay it will also look at a demo of instructor now you have word to back and other word embedding models so how is instructor different from them so instructor can generate text embeddings which is tailored to any task okay for example if you have an input over here who sings the song Love Story okay now based on this input if the instruction is find duplicate questions and you have a question Corpus then instructor would generate embeddings for this particular task okay and the output could be this one who is the singer of the song Love Story okay so basically it generates task specific embeddings okay from your Corpus as well as the input now if it was retrieved information retrieval like retrieving documents from Wikipedia then for that task it generates input embeddings for in embeddings for the input as well as for your Corpus and this