Nisusai Be A Generative Ai Developer
Nisusai: Be A Generative Ai Developer
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 117.69 MB | Duration: 0h 30m
Building AI Assistants: Complete Guide to Document Uploading, Prompt Writing, Model Selection, and Parameter Tuning
What you'll learn
Build custom AI assistants on NisusAI without coding, integrating them seamlessly into business processes.
Create effective and secure prompts to enhance AI accuracy and minimize risks.
Manage and optimize AI models, integrating them into systems via NisusAI.
Test and optimize AI performance, ensuring high-quality AI solutions.
Requirements
There are no prerequisites or prior experience required to take this course. It is designed for beginners, making it accessible to anyone interested in learning to build AI assistants on NisusAI. All you need is a computer and an internet connection to get started!
Description
In this course, you will learn how to build your very own AI assistant by combining key concepts and techniques. Whether you're just starting out or looking to deepen your knowledge, this course will guide you step by step through the process of developing a functional and intelligent AI assistant.We will begin by teaching you how to upload and structure documents so that the model can understand and use the information effectively. You'll learn how to break down large amounts of data into manageable pieces that an AI model can process.Next, we will cover prompt writing, which is essential for guiding the AI assistant in how to respond to user interactions. You'll learn how to craft effective prompts that instruct the model to behave like a helpful assistant.We'll also dive into model selection—choosing the right model is crucial for building an assistant tailored to specific tasks. You'll explore different models, understand their strengths, and see how to select the one that best suits your project.Finally, we'll focus on parameter tuning, where you'll adjust the model's settings to optimize its performance. You'll learn how to control creativity, accuracy, and response style to ensure the AI assistant works just the way you want.By the end of the course, you will have all the knowledge and tools needed to build and refine a fully functional AI assistant that can assist users effectively in various tasks.
Overview
Section 1: Introduction to NisusAI
Lecture 1 Welcome to NisusAI: Course Overview
Lecture 2 What is Generative AI and Why It Matters
Lecture 3 What is an Assistant? How to Create One
Section 2: Documents
Lecture 4 Understanding Key Terminologies
Lecture 5 What is Vector DB?
Lecture 6 What is Semantic Search?
Lecture 7 What is RAG and How Does It Work?
Lecture 8 Introduction to Document Splitting Module
Section 3: Actions
Lecture 9 What Are Actions and Why Are They Important?
Lecture 10 How Actions Work: An Overview
Section 4: Prompts
Lecture 11 What is a Prompt? Creating Effective Prompts
Lecture 12 Introduction to the Prompt Interface
Lecture 13 Understanding Model Parameters
Lecture 14 Key Considerations for LLM Prompt Interactions
Lecture 15 How to Create and Save a Prompt with NisusAI
Lecture 16 Testing and Editing Prompts with NisusAI
Section 5: Assistants
Lecture 17 How Does an LLM Work?
Lecture 18 How to Build an Assistant
Lecture 19 How to Create and Deploy an Assistant with NisusAI
Lecture 20 Modifying Assistant Deployment with NisusAI
Lecture 21 Connect with Assistant via NisusAI
Section 6: Project and Certification
This course is designed for professionals, developers, and tech enthusiasts who want to build and manage custom AI assistants without coding. It's ideal for those looking to integrate AI solutions into business processes, enhance their skills in AI model management, and stay ahead in the rapidly evolving field of generative AI. Whether you're in tech, business, or just passionate about AI, this course will provide you with the tools and knowledge to succeed.
https://rapidgator.net/file/b83571915f7de9a9807dfdbbdab9eccf/NisusAI_Be_a_Generative_AI_Developer.rar.html
