Syllabus WEEK 1 Introduction to Large Language Models This module explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps. ...
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Welcome to the Introduction to MidJourney course, where you'll begin a journey to gain practical skills in AI art generation and harness the capabilities of Generative AI for creating images. Throughout this short course, you'll explore the many ways to
The course is divided into 15 meetings of 1.5 hours each, with the syllabus structured in such a way that the trainees systematically learn and improve the MTPE process and develop an understanding of MT tools. Therefore, it can be treated as a means to achieve the goa...
Syllabus Lesson 1 - Introduction to Machine Learning Machine learning (ML) is a type of artificial intelligence (AI) that focuses on enabling a system to learn without being explicitly programmed. Using ML, an AI system can figure things out on its own and learn from its mistakes, much as ...
(-) Can hack into the networks White to black * Overview * * Evolution * Syllabus What we will see-28 Hours * Lesson # Content(hours) Lesson # Content 1 Introduction(2h) 4 RNN and its application Recurrent neural network/LSTM/image caption(4h) 2 Deep Learning preliminary (Vector, Matrix...
Syllabus Introduction to Prompt Injection Vulnerabilities (Introduction to Prompt Injection Attacks) In this course, we enter the space of Prompt Injection Attacks, a critical concern for businesses utilizing Large Language Model systems in their AI applications. By exploring practical examples and real-...
Course 1 of 4 in the Machine Learning Engineering for Production (MLOps) Specialization Syllabus WEEK 1 Overview of the ML Lifecycle and Deployment This week covers a quick introduction to machine learning production systems focusing on their requirements and challenges. Next, the week focuses on...