{"page":"\n\n
\n
\n
\n
\n
\n\nVideo\n
\n

\nMastering Fine-tuning for NLP Applications\n

\n
\n
\nGet Free Access for 10 Days!\n
\n
\n
\n
\n
\n
×
\n\n\n
\n\nPublisher:\n\nCurated Video\n\n\n
\n
\nIn this lesson, you will learn about the powerful technique of fine-tuning pre-trained models for specific natural language processing (NLP) applications. You will cover key concepts and the necessary steps required to successfully...\nIn this lesson, you will learn about the powerful technique of fine-tuning pre-trained models for specific natural language processing (NLP) applications. You will cover key concepts and the necessary steps required to successfully fine-tune pre-trained models. Before deciding to fine-tune a model, you need to understand the problem you are working on, the task at hand, and the requirements of the task, such as speed and accuracy. You also need to know the characteristics of the dataset you are using, such as its size and type. Once you have determined that fine-tuning is the solution to your problem, you need to choose a pre-trained model that is trained on data that is similar to the data you are using. You will then prepare the data, including changing its format to a format that the pre-trained model can understand, such as tokenization and encoding. Once your data is ready, you can start fine-tuning the pre-trained model on your dataset. After fine-tuning, you will evaluate the performance of your model, try it with inputs, and analyze its outputs to improve its performance. By the end of the lesson, you will have the knowledge and skills to master the fine-tuning technique for NLP applications.\n
\n
\n\n
\n
\n
\n
\n

Resource Details

\n
\n
\n
\n
Curator Rating
\n
\n
\n
\n
\n
\n
Educator Rating
Not yet Rated
\n
\n
\n
\n
\n
Media Length
\n
1:55
\n
\n
\n
\n
\n
Grade
12th - Higher Ed
\n
\n
\n
\n
\n
Subjects
Social Studies & History
5 more...
\n
\n
\n
\n
\n
Media Type
Instructional Videos
\n
\n
\n
\n
\n
Source:
\n
\nTekno Academy EN\n\n
\n
\n
\n
\n
\n
Date
\n
2023
\n
\n
\n
\n
\n\n
Language
English
\n
\n
\n
\n
\n
Audiences
For Teacher Use
2 more...
\n
\n
\n
\n
\n
Usage Permissions
Fine Print: Educational Use
\n
\n
\n
\n
\n
\n

Additional Materials

\n
\n\nSign in or Join Now
\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" href=\"/subscription/new\">Video Transcript\n
\n
\n\nSign in or Join Now
\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" href=\"/subscription/new\">Video Preview\n
\n
\n
\n

Concepts

\n
\n
data, coding
\n
\n\n\n
\n
\n
\n
\n

Additional Tags

\n
\n
fine-tuning, natural language processing (nlp), machine learning, openai, python, libraries and packages, data preparation, model training, model evaluation, text generation, fine tune, data set, trained model, tuning, fine, ready, trained, start, model, understand, problem, task, type, choose, preparing, format, performance, give
\n
\n\n\n
\n
\n
\n
\n

Classroom Considerations

\n
Best For: Explaining a topic
Video is ad-free
\n
\n
\n

Educator Ratings

\n
\n
\n
\n
\n
\n\nShow resource details\n
\n
\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Mastering Fine-tuning for NLP Applications\" href=\"/subscription/new\">\"Mastering\n\n
\n
\n
\n\n\n\n"}