Train and optimize, gpt4, BERT, LSTM and deep learning models on transcript of spoken utterances to classify them into multiple classes
Budget: ₹1,500 – ₹12,500 INR
I am looking for a freelancer to train and optimize GPT-4, BERT, LSTM, and deep learning models on a transcript of spoken utterances. The goal is to classify these utterances into multiple classes through multiclass classification.
Skills and Experience Required:
- Strong expertise in natural language processing (NLP) and deep learning models such as GPT-4, BERT, and LSTM
- Experience in training and optimizing NLP models on speech data
- Proficiency in Python and relevant deep learning libraries such as TensorFlow or PyTorch
- Familiarity with transcript data processing and feature extraction techniques
- Ability to handle a large dataset and optimize models for performance and efficiency
The project has a tight deadline, and the deliverables should be completed within a week. The dataset for training the models is already available, so the freelancer should be able to start immediately with the provided data. If you have any further questions or need guidance, please don't hesitate to ask.
Skills and Experience Required:
- Strong expertise in natural language processing (NLP) and deep learning models such as GPT-4, BERT, and LSTM
- Experience in training and optimizing NLP models on speech data
- Proficiency in Python and relevant deep learning libraries such as TensorFlow or PyTorch
- Familiarity with transcript data processing and feature extraction techniques
- Ability to handle a large dataset and optimize models for performance and efficiency
The project has a tight deadline, and the deliverables should be completed within a week. The dataset for training the models is already available, so the freelancer should be able to start immediately with the provided data. If you have any further questions or need guidance, please don't hesitate to ask.