1st lesson free
Umakanta profile and its contact details have been verified by our experts
Umakanta
- Rate R262
- Response 3h
-
Students3
Number of students Umakanta has accompanied since joining Superprof
Number of students Umakanta has accompanied since joining Superprof
R262/h
Contact
1st lesson free
- Machine learning
Master advanced machine learning! Dive into cutting-edge techniques with hands-on training in custom large language models. Learn, create, and deploy. Boost your career with expert guidance. Enroll no
- Machine learning
Lesson location
About Umakanta
Umakanta is a dedicated research fellow with over five years of hands-on experience in the field of machine learning. Holding a Master's degree in Computer Applications, Umakanta's expertise bridges advanced computational techniques and their practical applications. Currently, Umakanta's research focuses on cutting-edge topics, including machine unlearning, which involves refining AI systems to forget specific data for enhanced adaptability and compliance. Their work also delves into AI applications in healthcare, aiming to revolutionize patient care and medical diagnostics using intelligent solutions. Moreover, Umakanta is deeply invested in addressing privacy and security challenges in large language models, ensuring that these powerful tools are robust and ethically sound. With a passion for innovation and a commitment to excellence, Umakanta is driving forward the boundaries of technology, contributing valuable insights to the machine learning and AI landscape.
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About the lesson
- All levels
- English
Languages in which the lesson is available :
English
In this immersive course, you'll embark on a journey through the fascinating world of NLP and large language models. Here's what we will cover:
- Natural Language Basics: Lay a strong foundation with an understanding of syntax, semantics, tokenization, stemming, lemmatization, and more, to navigate the world of human language processing.
- Language Models: Dive into the architecture and functioning of models like RNNs, transformers, and attention mechanisms. Learn how language models interpret, generate, and transform text.
- Training Techniques: Gain hands-on experience in training language models from scratch or with pre-trained architectures. Understand data preprocessing, model evaluation, and parameter optimization.
- Fine-Tuning Techniques: Master the art of adapting pre-trained models for specific tasks such as text classification, sentiment analysis, translation, or summarization, with techniques like transfer learning and domain adaptation.
- Inferencing Techniques: Explore techniques for efficient model inference, including beam search, greedy decoding, top-k sampling, and temperature sampling. Learn how to make predictions fast and accurate.
This class combines theoretical learning with practical, hands-on exercises to ensure you not only understand the concepts but also know how to apply them effectively. By the end of the course, you'll be equipped with the knowledge and skills to train, fine-tune, and deploy advanced NLP models with confidence.
Get ready to unlock the potential of AI—let's create and innovate together!
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Rates
Rate
- R262
Package rates
- 5h: R1310
- 10h: R2620
online
- R262/h
free lesson
The free first lesson with Umakanta allows you to get to know the tutor and discuss your needs and expectations.
- 1h
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