What is Natural Language Processing?
Skills:
LLM Foundations70%
Key Takeaways
The video introduces Natural Language Processing (NLP) and its applications, explaining how models are made using Convolutional Neural Networks, Recurrent Neural Networks, and Transformer models, and how NLP can be included in projects using APIs or fine-tuning models.
Full Transcript
can alexa be your best buddy well not now but probably very soon we have been seeing gigantic leaps over the last couple of years in terms of how computers can understand and use natural language this is all thanks to the sub-discipline of ai called natural language processing or nlp for short under its umbrella there are many tasks that we have conquered already to a good degree like machine translation text classification sentiment analysis or summarization but the ultimate goal is to make a model that can encapsulate the actual essence of language as we make better and better models we get closer to unlocking a whole new set of data to making even better systems and make it easier for humans to communicate with these systems no matter how tech savvy they are or not how are these models made well mostly with convolutional neural networks and recurrent neural networks sometimes we have some variations of these two and very recently transformer models with attention mechanisms on them and it's not hard to include an lp in your projects you can use nlp apis as a service or include a model by fine-tuning it to your specific problem
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