[Pagsusuri] Natural Language Processing with Transformers, Revised Edition (Lewis Tunstall) Nabuod.

Natural Language Processing with Transformers, Revised Edition (Lewis Tunstall) - Amazon USA Store: https://www.amazon.com/dp/1098136799?tag=9natree-20 - Amazon Worldwide Store: https://global.buys.trade/Natural-Language-Processing-with-Transformers%2C-Revised-Edition-Lewis-Tunstall.html - Apple Books: https://books.apple.com/us/audiobook/natural-language-processing-with-transformers-revised/id1823000793?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree - eBay: https://www.ebay.com/sch/i.html?_nkw=Natural+Language+Processing+with+Transformers+Revised+Edition+Lewis+Tunstall+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1 - Shopee: https://asia.buys.trade/shopee_Natural-Language-Processing-with-Transformers%2C-Revised-Edition-Lewis-Tunstall.html - Lazada: https://asia.buys.trade/lazada_Natural-Language-Processing-with-Transformers%2C-Revised-Edition-Lewis-Tunstall.html - Tiktok: https://asia.buys.trade/tiktok_Natural-Language-Processing-with-Transformers%2C-Revised-Edition-Lewis-Tunstall.html - Magbasa pa: https://tagalog.9natree.com/read/1098136799/ #Selfattentionatarkitekturangtransformer #HuggingFaceTransformers #Finetuningngpretrainedmodel #Multilingualtransferlearning #Knowledgedistillation,pruning,atquantization #NaturalLanguageProcessingwithTransformersRevisedEdition Ang Natural Language Processing with Transformers, Revised Edition nina Lewis Tunstall, Leandro von Werra, at Thomas Wolf ay isang praktikal na aklat teknikal tungkol sa pagbuo ng mga aplikasyon sa pagproseso ng wika gamit ang Hugging Face Transformers. Nakatuon ito sa mga transformer, ang arkitekturang naging sentro ng makabagong natural language processing mula nang ipakilala ito noong 2017. Pinagdurugtong ng aklat ang mahahalagang konsepto, tulad ng attention, encoder, decoder, tokenization, at pretraining, sa aktuwal na pagprograma sa Python. Sa halip na manatili sa abstraktong paliwanag, ipinapakita nito kung paano gamitin, suriin, i-debug, at i-deploy ang mga modelong pangwika para sa klasipikasyon ng teksto, pagkilala ng entidad, pagbuo ng teksto, pagsasama-sama ng dokumento, at pagsagot sa tanong. Saklaw rin ng rebisadong edisyon ang mga hamon ng limitadong labeled data, maraming wika, at gastos sa produksyon. Layunin nitong tulungan ang data scientist at machine learning engineer na gawing maaasahang sistemang ginagamit sa tunay na produkto ang mga pretrained model.