Generative AI and LLMs: Architecture and Data Preparation
Learn about various generative AI models and architectures, the application of LLMs in language processing, and implement NLP preprocessing techniques using libraries and PyTorch.
Tokenization,Hugging Face,Libraries,NLP Data Loader,pytorch,Large Language Models
Description for Generative AI and LLMs: Architecture and Data Preparation
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by IBM
Duration: 5 hours to complete
Schedule: Flexible
Pricing for Generative AI and LLMs: Architecture and Data Preparation
Use Cases for Generative AI and LLMs: Architecture and Data Preparation
FAQs for Generative AI and LLMs: Architecture and Data Preparation
Reviews for Generative AI and LLMs: Architecture and Data Preparation
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Generative AI and LLMs: Architecture and Data Preparation
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
Unlock and capitalize on the capabilities of generative AI. Discover how the capabilities of generative AI can be leveraged to improve your work and personal life.
Generative AI for Your Benefit. Utilize Generative AI to develop and instruct personalized assistants.
Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.
Acquire practical skills in fundamental machine learning models and their applications using PyTorch, as utilized by leading tech companies.
Master the implementation of deep learning algorithms using PyTorch, covering Deep Neural Networks and machine learning techniques, along with Python library utilization, to construct and deploy deep neural networks effectively.
Acquire the ability to create custom Datasets and DataLoaders in PyTorch and train a ResNet-18 model for image classification.
Learn to apply prompt engineering to the effective use of large language models such as ChatGPT, utilize prompt patterns to leverage model capabilities, and develop sophisticated prompt-based applications for diverse contexts such as life, business, or education.
Featured Tools
Explore the evolution and business implications of generative AI, emphasizing data significance, governance, transparency, and practical applications in modernization and customer service in this course.
Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.
Comprehend generative AI basics, practical applications, ethical implications, and potential impacts on student learning in education.
Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.
Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.