A Joyful AI Research Journey🌳😊

https://github.com/yjyuwisely/MovieSense_NLP GitHub - yjyuwisely/MovieSense_NLP: MovieSense, an NLP project that provides sentiment analysis, translation, summarization, andMovieSense, an NLP project that provides sentiment analysis, translation, summarization, and text generation services for movie reviews. - yjyuwisely/MovieSense_NLPgithub.com Aug 22 - Sep 2Page ScreenshotsBelow are some scree..

Using the Retrieval-Augmented Generation (RAG) method, I experimented with GPT-3.5-turbo to generate both positive and negative movie reviews.RAG enhances the model's ability to produce relevant text by retrieving the most pertinent documents before generating the output.For example, the negative review generated highlighted issues like 'a movie version of a paint-by-numbers picture' and 'a loud..

ChatGPT, OpenAIAll the optimization techniques you listed are relevant to your project, MovieSense, and can help improve the performance and efficiency of the models and methods you are using. Here's how each technique relates to your project:Relevance of Optimization Techniques to Your ProjectModel Quantization to Reduce Model Size and Speed Up InferenceRelevance: Quantization reduces the memor..

Yes, when you type pip freeze > requirements.txt in VSCode's terminal, it will automatically create a requirements.txt file. This file will include a list of all the Python packages currently installed in your environment, along with their versions. This allows you to easily document the dependencies for your project.

https://github.com/yjyuwisely/MovieSense_NLP

Positive Paragraph: The film was an exhilarating journey from beginning to end. Not only was the plot engaging, but the characters were also crafted with such depth and nuance that you couldn't help but root for them. The cinematography painted a visual tapestry that was nothing short of breathtaking, drawing the audience into each scene. The soundtrack, with its sublime melodies, further elevat..