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Generative AI Roadmap By ScholarHat PDF
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Swipe Generative AI ROADMAP FOR BEGINNERS 2024 EDITION Level Up Your Career
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS 1 Introduction to Artificial Intelligence Artificial Intelligence (AI) is the simulation of human intelligence in machines, enabling them to perform tasks that typically require human cognition. Understand AI & its applications in different domains. Trace the evolution of AI, highlighting key milestones. Explore AI's uses in healthcare, finance, gaming, etc. Examine AI's societal, ethical, and economic implications, both positive and negative. Apply AI techniques through practical projects like chatbot or image recognition development. www.scholarhat.com
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS 2 Introduction to Generative AI Generative AI involves algorithms capable of creating new data resembling the input they were trained on, enabling applications in image generation, text synthesis, and more. Grasp generative AI concepts and applications in image and text generation. Explore GANs, VAEs, and other generative model architectures. Understand generator and discriminator networks in models like GANs. Learn adversarial training and variational inference for model training. Address issues like misinformation, privacy, and bias in generative AI applications. www.scholarhat.com
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS 3 Large Language Models (LLMs) Large Language Models (LLMs) are advanced AI models trained on vast text data, adept at generating human-like text and understanding language nuances. Trace LLM development from inception to recent advancements like GPT-3. Learn about the efficient backbone of LLMs. Explore LLM use in text generation, translation, and sentiment analysis. Address bias, misinformation, and privacy concerns in LLM applications. Stay updated on emerging research and efficiency improvements in LLMs. sequence processing www.scholarhat.com
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS 4 Prompt Engineering The art and science of crafting precise and effective inputs to guide generative models in producing desired outputs. Understand the impact of input formulation on generative model outputs. Learn various prompt formats and styles for guiding AI models. Explore strategies for refining prompts to get specific responses. Study effective prompt designs used in real-world AI applications. Adapt prompts for various tasks and datasets. Combine prompts to influence model outputs. www.scholarhat.com
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS 5 Introduction to OpenAI and ChatGPT Understanding how OpenAI & ChatGPT works involves exploring its architecture, training, and generation. Know the goals of OpenAI and its contributions to AI science. Learn about the features, fundamental architecture of ChatGPT. Study the use cases of ChatGPT in a variety of fields. Understand how to communicate effectively with ChatGPT. Learn training approaches, datasets, and adaptation via further instruction. Analyze the consistency, relevance, and fluency of ChatGPT while taking any biases and moral implications into account. advancements, & www.scholarhat.com
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS 6 ChatGPT for Developers, Code Generation, and UI Design ChatGPT uses its language comprehension capabilities to help developers with code development, optimization, and debugging. Learn productivity and creativity boosts in software development. Understand ChatGPT's architecture discussions. Study improving code quality and efficiency with ChatGPT. Explore diverse UI ideas with ChatGPT for iterative design. Study assessing ChatGPT's code and design reliability, and stay updated on AI tools. code generation and www.scholarhat.com
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS 7 Introduction to Google AI and Gemini Google's AI programs and Gemini are generative AI platforms combining cutting-edge features for unique applications. Learn the characteristics, abilities, and structure of Gemini. Know its datasets, training methods, and varied output generation. Study integrating Gemini into development workflows and testing its capabilities. Study ways to enhance Gemini's efficiency and modify it to certain tasks. Look at Gemini's outputs for quality, any biases, and ethical implications. Keep up on Gemini's initiatives, research, and developments on Google AI. www.scholarhat.com
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS 8 Gemini for Developers and UI Designer Gemini integrates AI to enhance coding, optimize outputs, and UI design ideas, and provide debugging suggestions. Know how to modify and ask Gemini for effective code snippets. Learn how Gemini finds and resolves coding errors to adhere to industry standards. Study various programming language prompts and work together to create creative answers. Integrate Gemini for more efficient workflows and iterative upgrades. Stay up to date on AI tools to get the most out of Gemini's coding and design capabilities. www.scholarhat.com
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS 9 Introduction to Github Copilot GitHub Copilot is an AI-powered coding assistant that helps developers write code efficiently. Understand its impact on coding workflows. Explore functionalities such as code completion and generation. Integrate Copilot into Visual Studio Code and other IDEs. Adapt Copilot to coding preferences. Learn effective strategies for using Copilot. Consider ethical considerations in its usage. www.scholarhat.com
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS 10 Copilot for Developers and UI Designer Copilot uses AI to help with creativity, generating ideas, UI design concepts, output optimization, and the generation of code snippets. Learn to prompt Copilot for code snippets and refine them with its suggestions. Understand how Copilot assists in identifying and fixing errors for improved code quality. Explore seamless integration of Copilot into coding workflows to accelerate implementation. Use Copilot for generating diverse UI design ideas and iterating on prototypes. Ensure ethical usage and responsible coding practices with Copilot to avoid plagiarism. www.scholarhat.com
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS 11Real-World Projects Customer Service Chatbot: Develop a chatbot using ChatGPT or similar models for handling customer service inquiries, capable of understanding and responding to frequently asked questions. Text Summarization: Develop a tool that summarizes long articles or documents into concise summaries using transformer models. Autonomous Vehicle Simulation: Create realistic driving scenarios for testing autonomous generative models. Implement an AI that predicts and generates possible future behaviors of other vehicles on the road. Personalized Learning Pathways: Build an interactive tool that generate game levels, characters, or plotlines to assist game developers. vehicles using www.scholarhat.com
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS How to follow this roadmap? At ScholarHat, we believe mastering a technology is a three-stepprocess as mentioned below: Step1 - Learn Skills: You can learn Generative AI skill by tutorials on Generative AI, or through Videos on YouTube or Videos based courses. For topic revision and recalling make short notes. You can also learn Live from Microsoft MVP at ScholarHat. Step2 - Build Experience: You can build hands-on experience by building real world applications like Social Media Platform, Stock Price Monitoring, Fraud Detection etc. Step3 - Empower Yourself: Build your strong profile by mentioning all the above skills with hands-on experience on projects. Prepare yourself with interview Q&A about Generative AI to crack your next job interview. www.scholarhat.com
Swipe GENERATIVE AI ROADMAP FOR BEGINNERS Congrats! You are just one interview away! www.scholarhat.com
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