Description for Mastering Gen AI: Model Foundations and NLP
Techniques for Word Feature Conversion: Gain knowledge of methodologies such as one-hot encoding, bag-of-words, embeddings, and embedding bags for the transformation of words into features.
Contextual Embedding Utilizing Word2Vec: Acquire practical expertise in the application of Word2Vec models for the generation of contextual embeddings.
Constructing a Fundamental Neural Network Language Model: Comprehend the methodology for constructing a fundamental language model utilizing a neural network.
Applying N-Gram and Sequence-to-Sequence Models: Investigate N-gram models and sequence-to-sequence architectures for applications including document classification, text analysis, and sequence transformation.
Level: Intermediate
Certification Degree: yes
Languages the Course is Available: 1
Offered by: On edX provided by IBM
Duration: 2�3 hours per week 2 weeks (approximately)
Schedule: Flexible
Pricing for Mastering Gen AI: Model Foundations and NLP
Use Cases for Mastering Gen AI: Model Foundations and NLP
FAQs for Mastering Gen AI: Model Foundations and NLP
Reviews for Mastering Gen AI: Model Foundations and NLP
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Mastering Gen AI: Model Foundations and NLP
Gain experience in transformer-based models and essential natural language processing techniques, including attention mechanisms, GPT, and BERT, utilizing PyTorch for a diverse array of text classification and language-related tasks.
Improve proficiency in optimizing LLMs by instruction-tuning, RLHF, DPO, and PPO utilizing Hugging Face to enhance model efficacy.
Learn how to develop AI agents using RAG and LangChain, as well as how to integrate sophisticated AI technologies.
This course provides practical competencies in generative artificial intelligence, large language models, and natural language processing data management, all underpinned by a credential esteemed within the industry.
Learn the skills necessary to operate, optimize, and implement large language models through practical experience with state-of-the-art LLM architectures and open-source resources.
Develop expertise in the exposure and deployment of large language models via application programming interfaces (APIs), configure server environments, and incorporate natural language processing (NLP) functionalities into applications.
This course highlights the ethical implications, the integration of ChatGPT into education, and the enhancement of instruction through the utilization of AI tools.
The course encompasses the following topics: the development of a text processing pipeline, the comprehension of Naive Bayes classifier theory, and the assessment of the efficacy of classification models following training.
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
Featured Tools
Acquire an extensive understanding of reinforcement learning, deep neural networks, clustering, and dimensionality reduction to effectively address real-world machine learning challenges.
Develop your skills in image processing, augmented reality, and object recognition to prepare yourself to create cutting-edge AI-powered visual apps.
Explore the topic of AI-powered personalization by acquiring the skills necessary to utilize LangChain and ChatGPT.
A practical guide to the use of generative AI for the purpose of composing, refining, and planning, utilizing structured and context-driven inputs.
Explore the world of AI-powered language processing by acquiring the skills necessary to construct chatbots, analyze sentiment, and incorporate AI insights into practical applications.
Compare & Review AI Tool Directory AI Course Marketplace
