kingers Posted May 3 Report Share Posted May 3 Spring Ai: Beginner To Guru Published 5/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.77 GB[/center] | Duration: 4h 28m Use Java to Unlock the Power of OpenAI's ChatGPT Artificial Intelligence (AI) with Spring AI What you'll learn Learn how to use Spring AI to interact with OpenAI How to write effective Prompts for Large Language Models Use Retrieval Augmented Generation to Improve Response Capabilities Generate Speech from Text Generate Text from Speech Requirements Java and Spring Experience is Required Understanding of working with RESTful APIs Able to use Docker to run a Docker Compose Script Description Traditionally accessing Artificial Intelligence Models, such as OpenAI's ChatGPT, has been the domain of programming languages Python and Javascript. Not any more. Spring AI unlocks the power of Generative AI for Java developers. The Spring AI project aims to streamline the development of applications that incorporate artificial intelligence functionality without unnecessary complexity. Spring AI provides support for all major Artificial Intelligence models, including:OpenAIAzure OpenAIAmazon BedrockHuggingFaceOllama Google VertextAI (PaLM2 and Gemini)Mistral AIAntrhopicWatsonxAISpring AI also supports image generation AI models from OpenAI and Stability. Retrieval Augmented Generation is an important use case for dealing with AI models. Spring AI includes robust support for all major Embedding Models and all popular vector databases. No prior experience with AI is needed for this course. You will start the course with a solid overview of what Artificial Intelligence is. Next you'll have a hands on section to develop a RESTful API to ask OpenAI's ChatGPT questions. In this section, you will learn how we can instruct the model to return data in the format we desire. Since no AI experience is required, the next section of the course builds upon what you learned with a formal look at Prompt Engineering. Prompt Engineering is a collection techniques to improve the quality and accuracy of responses from AI Models.Retrieval Augmented Generation (RAG) is an important technique to provide Large Language Models with additional information required to the user's query to complete specialized tasks. You will see how we can use RAG to develop AI experts to perform high specialized tasks. The AI models are not just limited to working with textual information. In this course you will also see how to use AI to create images, create audio files from text, and how to transcribe audio files to text. Learn all this and more in Spring A:I Beginner to Guru. Enroll today! Overview Section 1: Introduction Lecture 1 Course Introduction Lecture 2 Instructor Introduction Lecture 3 Getting the Most Out of Your Course Lecture 4 Setting Up Your Development Environment Lecture 5 Is Your IDE Free Like A Puppy? Lecture 6 Free 120 Day IntelliJ Trial Lecture 7 Course Slack Room - Chat with Your Instructor and Other Students Lecture 8 Github Workflow Section 2: Introduction to AI Lecture 9 Introduction Lecture 10 Types of Artificial Intelligence Lecture 11 Introduction to Large Language Models (LLMs) Lecture 12 Overview of OpenAI Section 3: Introduction to Spring AI with OpenAI Lecture 13 Introduction Lecture 14 Get Your OpenAI API Key Lecture 15 Create New Spring Boot Project Lecture 16 Configure OpenAI API Keys Lecture 17 Add OpenAI Service Lecture 18 Exploring LLM Capabilities Lecture 19 Create Spring MVC Controller Lecture 20 Test Controller with Postman Lecture 21 Using Prompt Templates Lecture 22 Directing OpenAI to format the Response Lecture 23 Directing OpenAI to Respond with JSON Lecture 24 Binding OpenAI Responses With JSON Schema Lecture 25 OpenAI Response Meta Data Section 4: Prompt Engineering Lecture 26 Introduction Lecture 27 Overview on Prompt Engineering Lecture 28 Giving Clear and Precise Instructions Lecture 29 Giving the Model Time to Think Lecture 30 Summarizing Lecture 31 Inferring Lecture 32 Zero Shot and Few Shot Prompting Lecture 33 Chain of Thought Lecture 34 Using System Messages Section 5: Retrieval Augmented Generation - RAG Lecture 35 Introduction Lecture 36 Overview of Retrevial Augmented Generation Lecture 37 Configure Vector Store Lecture 38 Configure Vector Store Data Load Lecture 39 Returning Documents from Vector Store Lecture 40 Improving Prompt Performance - Embedding Config Lecture 41 Improving Prompt Performance - Trimming Data Lecture 42 Providing Document Meta Data Section 6: AI Recommendation Expert with RAG Lecture 43 Introduction Lecture 44 Overview of Towing Lecture 45 Spring Boot Project Review Lecture 46 Configure Milvus Vector Database Lecture 47 Vector Store Data to Load Section 7: OpenAI Functions Lecture 48 Introduction Lecture 49 Overview of Function Calling with OpenAI Lecture 50 Spring Boot Project Review Lecture 51 Get API Ninjas API Key Lecture 52 Use System Message to Improve Model Response Section 8: Spring AI Image Generation and Vision Lecture 53 Introduction Lecture 54 Overview of Image Generation with OpenAI Lecture 55 Code Review of Spring Boot Project Lecture 56 Using DALL-E 3 OpenAI Model Lecture 57 Implement Spring MVC Endpoint Section 9: Spring AI Text to Speech Lecture 58 Overview of Text to Speech with OpenAI Lecture 59 Spring Boot Project Review Lecture 60 Implement Spring MVC Endpoint Section 10: Spring AI Speech to Text Lecture 61 Overview of Speech to Text Any Java Developer wishing to get started using OpenAIhttps://fikper.com/5Ghta6mH8C/Spring.AI.Beginner.to.Guru.z01.htmlhttps://fikper.com/HIewBXSTMA/Spring.AI.Beginner.to.Guru.zip.htmlhttps://rapidgator.net/file/04e4c362de0d5d32835a49f34cf88621/Spring.AI.Beginner.to.Guru.z01https://rapidgator.net/file/d04420bac7da7ce072da1523897bb398/Spring.AI.Beginner.to.Guru.zipFree search engine download: Spring AI Beginner to Guru Link to comment Share on other sites More sharing options...
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