AI Unraveled - Master GPT-x, Gemini, Generative AI, LLMs, Prompt Engineering: A simplified Guide For Everyday Users PDF Download
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Author: Etienne Noumen
Publisher: Etienne Noumen
ISBN:
Category : Computers
Languages : en
Pages : 147
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Book Description
Dive into the revolutionary world of Artificial Intelligence with 'AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence'. This comprehensive guide is your portal to understanding AI's most intricate concepts and cutting-edge developments. Whether you're a curious beginner or an AI enthusiast, this book is tailored to unveil the complexities of AI in a simple, accessible manner. What's Inside: Fundamental AI Concepts: Journey through the basics of AI, machine learning, deep learning, and neural networks. AI in Action: Explore how AI is reshaping industries and society, diving into its applications in computer vision, natural language processing, and beyond. Ethical AI: Tackle critical issues like AI ethics and bias, understanding the moral implications of AI advancements. Industry Insights: Gain insights into how AI is revolutionizing industries and impacting our daily lives. The Future of AI: Forecast the exciting possibilities and challenges that lie ahead in the AI landscape. Special Focus on Generative AI & LLMs: Latest AI Trends: Stay updated with the latest in AI, including ChatGPT, Google Bard, GPT-4, Gemini, and more. Interactive Quizzes: Test your knowledge with engaging quizzes on Generative AI and Large Language Models (LLMs). Practical Guides: Master GPT-4 with a simplified guide, delve into advanced prompt engineering, and explore the nuances of temperature settings in AI. Real-World Applications: Learn how to leverage AI in various sectors, from healthcare to cybersecurity, and even explore its potential in areas like aging research and brain implants. For the AI Enthusiast: Prompt Engineering: Uncover secrets to crafting effective prompts for ChatGPT/Google Bard. AI Career Insights: Explore lucrative career paths in AI, including roles like AI Prompt Engineers. AI Investment Guide: Navigate the world of AI stocks and investment opportunities. Your Guide to Navigating AI: Do-It-Yourself Tutorials: From building custom ChatGPT applications to running LLMs locally, this book offers step-by-step guides. AI for Everyday Use: Learn how AI can assist in weight loss, social media, and more. 'AI Unraveled' is more than just a book; it's a resource for anyone looking to grasp the complexities of AI and its impact on our world. Get ready to embark on an enlightening journey into the realm of Artificial Intelligence!" More Topics Covered: Artificial Intelligence, Machine Learning, Deep Learning, NLP, AI Ethics, Robotics, Cognitive Computing, ChatGPT, OpenAI, Google Bard, Generative AI, LLMs, AI in Healthcare, AI Investments, and much more. GPT-4 vs Gemini: Pros and Cons Mastering GPT-4: Simplified Guide For everyday Users Advance Prompt Engineering Techniques: [Single Prompt Technique, Zero-Shot and Few-Shot, Zero-Shot and Few-Shot, Generated Knowledge Prompting, EmotionPrompt, Chain of Density (CoD), Chain of Thought (CoT), Validation of LLMs Responses, Chain of Verification (CoVe), Agents - The Frontier of Prompt Engineering, Prompt Chaining vs Agents, Tree of Thought (ToT), ReAct (Reasoning + Act), ReWOO (Reasoning WithOut Observation), Reflexion and Self-Reflection, Guardrails, RAIL (Reliable AI Markup Language), Guardrails AI, NeMo Guardrails] Understanding Temperature in GPT-4: A Guide to AI Probability and Creativity Retrieval-Augmented Generation (RAG) model in the context of Large Language Models (LLMs) like GPT-4 Prompt Ideas for ChatGPT/Google Bard How to Run ChatGPT-like LLMs Locally on Your Computer in 3 Easy Steps ChatGPT Custom Instructions Settings for Power Users Examples of bad and good ChatGPT prompts Top 5 Beginner Mistakes in Prompt Engineering Use ChatGPT like a PRO Prompt template for learning any skill Prompt Engineering for ChatGPT The Future of LLMs in Search What is Explainable AI? Which industries are meant for XAI? ChatGPT Best Tips, Cheat Sheet LLMs Utilize Vector DB for Data Storage The Limitation Technique in Prompt Responses Use ChatGPT to learn new subjects Prompts to proofread anything Topics: Artificial Intelligence Education Machine Learning Deep Learning Reinforcement Learning Neural networks Data science AI ethics Deepmind Robotics Natural language processing Intelligent agents Cognitive computing AI Apps AI impact AI Tech ChatGPT Open AI Safe AI Generative AI Discriminative AI Sam Altman Google Bard NVDIA Large Language Models (LLMs) PALM GPT Explainable AI GPUs AI Stocks AI Podcast Q* AI Certification AI Quiz RAG How to access the AI Unraveled print and audiobook: Amazon print book: https://amzn.to/3xvCfWR Audible at Amazon : https://www.audible.com/pd/B0BXMJ7FK5/?source_code=AUDFPWS0223189MWT-BK-ACX0-343437&ref=acx_bty_BK_ACX0_343437_rh_us (Use Promo code: 37YT3B5UYUYZW) Audiobook at Google: https://play.google.com/store/audiobooks/details?id=AQAAAEAihFTEZM Amazon eBook: https://amzn.to/3KbshkO Google eBook: https://play.google.com/store/books/details?id=oySuEAAAQBAJ Apple eBook: http://books.apple.com/us/book/id6445730691
Author: Etienne Noumen
Publisher: Etienne Noumen
ISBN:
Category : Computers
Languages : en
Pages : 147
Get Book Here
Book Description
Dive into the revolutionary world of Artificial Intelligence with 'AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence'. This comprehensive guide is your portal to understanding AI's most intricate concepts and cutting-edge developments. Whether you're a curious beginner or an AI enthusiast, this book is tailored to unveil the complexities of AI in a simple, accessible manner. What's Inside: Fundamental AI Concepts: Journey through the basics of AI, machine learning, deep learning, and neural networks. AI in Action: Explore how AI is reshaping industries and society, diving into its applications in computer vision, natural language processing, and beyond. Ethical AI: Tackle critical issues like AI ethics and bias, understanding the moral implications of AI advancements. Industry Insights: Gain insights into how AI is revolutionizing industries and impacting our daily lives. The Future of AI: Forecast the exciting possibilities and challenges that lie ahead in the AI landscape. Special Focus on Generative AI & LLMs: Latest AI Trends: Stay updated with the latest in AI, including ChatGPT, Google Bard, GPT-4, Gemini, and more. Interactive Quizzes: Test your knowledge with engaging quizzes on Generative AI and Large Language Models (LLMs). Practical Guides: Master GPT-4 with a simplified guide, delve into advanced prompt engineering, and explore the nuances of temperature settings in AI. Real-World Applications: Learn how to leverage AI in various sectors, from healthcare to cybersecurity, and even explore its potential in areas like aging research and brain implants. For the AI Enthusiast: Prompt Engineering: Uncover secrets to crafting effective prompts for ChatGPT/Google Bard. AI Career Insights: Explore lucrative career paths in AI, including roles like AI Prompt Engineers. AI Investment Guide: Navigate the world of AI stocks and investment opportunities. Your Guide to Navigating AI: Do-It-Yourself Tutorials: From building custom ChatGPT applications to running LLMs locally, this book offers step-by-step guides. AI for Everyday Use: Learn how AI can assist in weight loss, social media, and more. 'AI Unraveled' is more than just a book; it's a resource for anyone looking to grasp the complexities of AI and its impact on our world. Get ready to embark on an enlightening journey into the realm of Artificial Intelligence!" More Topics Covered: Artificial Intelligence, Machine Learning, Deep Learning, NLP, AI Ethics, Robotics, Cognitive Computing, ChatGPT, OpenAI, Google Bard, Generative AI, LLMs, AI in Healthcare, AI Investments, and much more. GPT-4 vs Gemini: Pros and Cons Mastering GPT-4: Simplified Guide For everyday Users Advance Prompt Engineering Techniques: [Single Prompt Technique, Zero-Shot and Few-Shot, Zero-Shot and Few-Shot, Generated Knowledge Prompting, EmotionPrompt, Chain of Density (CoD), Chain of Thought (CoT), Validation of LLMs Responses, Chain of Verification (CoVe), Agents - The Frontier of Prompt Engineering, Prompt Chaining vs Agents, Tree of Thought (ToT), ReAct (Reasoning + Act), ReWOO (Reasoning WithOut Observation), Reflexion and Self-Reflection, Guardrails, RAIL (Reliable AI Markup Language), Guardrails AI, NeMo Guardrails] Understanding Temperature in GPT-4: A Guide to AI Probability and Creativity Retrieval-Augmented Generation (RAG) model in the context of Large Language Models (LLMs) like GPT-4 Prompt Ideas for ChatGPT/Google Bard How to Run ChatGPT-like LLMs Locally on Your Computer in 3 Easy Steps ChatGPT Custom Instructions Settings for Power Users Examples of bad and good ChatGPT prompts Top 5 Beginner Mistakes in Prompt Engineering Use ChatGPT like a PRO Prompt template for learning any skill Prompt Engineering for ChatGPT The Future of LLMs in Search What is Explainable AI? Which industries are meant for XAI? ChatGPT Best Tips, Cheat Sheet LLMs Utilize Vector DB for Data Storage The Limitation Technique in Prompt Responses Use ChatGPT to learn new subjects Prompts to proofread anything Topics: Artificial Intelligence Education Machine Learning Deep Learning Reinforcement Learning Neural networks Data science AI ethics Deepmind Robotics Natural language processing Intelligent agents Cognitive computing AI Apps AI impact AI Tech ChatGPT Open AI Safe AI Generative AI Discriminative AI Sam Altman Google Bard NVDIA Large Language Models (LLMs) PALM GPT Explainable AI GPUs AI Stocks AI Podcast Q* AI Certification AI Quiz RAG How to access the AI Unraveled print and audiobook: Amazon print book: https://amzn.to/3xvCfWR Audible at Amazon : https://www.audible.com/pd/B0BXMJ7FK5/?source_code=AUDFPWS0223189MWT-BK-ACX0-343437&ref=acx_bty_BK_ACX0_343437_rh_us (Use Promo code: 37YT3B5UYUYZW) Audiobook at Google: https://play.google.com/store/audiobooks/details?id=AQAAAEAihFTEZM Amazon eBook: https://amzn.to/3KbshkO Google eBook: https://play.google.com/store/books/details?id=oySuEAAAQBAJ Apple eBook: http://books.apple.com/us/book/id6445730691
Author: Mehrzad Tabatabaian
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501518895
Category : Technology & Engineering
Languages : en
Pages : 142
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Book Description
This book provides a structured framework for exploring various aspects of prompt engineering for ChatGPT, from foundational principles to advanced techniques, real-world applications, and ethical considerations. It aims to guide readers in effectively harnessing the capabilities of ChatGPT through well-crafted prompts to achieve their goals. The digital age has ushered in a new era of communication, one where the boundaries between human and machine are becoming increasingly blurred. Artificial Intelligence (AI) technology, in its relentless evolution, has given rise to remarkable language models that can understand and generate human-like text. "Prompt Engineering for ChatGPT," demystifies the intricacies of this ground breaking technology, offering insights and strategies to harness its capabilities.
Author: Anand Vemula
Publisher: Independently Published
ISBN:
Category : Computers
Languages : en
Pages : 0
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Book Description
This book equips you with the skills to harness the power of Generative AI, specifically Large Language Models (LLMs), to create various text formats. Get ready to experiment, explore, and unleash your creative potential! Part 1: Unveiling the Power of Generative AI and LLMs We'll begin by demystifying Generative AI and understanding how it transforms text creation. You'll then delve into the capabilities of LLMs, the powerhouse behind this technology. Through interactive exercises, you'll gain firsthand experience with pre-trained LLMs, exploring their strengths and limitations. Part 2: Mastering Text Generation Techniques Now that you're familiar with the tools, let's explore specific techniques for generating different text formats: Text Inpainting: Imagine restoring missing sections of historical documents or poems. We'll use LLMs to fill the gaps and reconstruct the text, putting your detective skills to the test with hands-on exercises. Text Summarization: Information overload is real! Learn how to leverage LLMs to create concise summaries of lengthy texts, like research papers or news articles. You'll practice generating summaries for presentations or reports through engaging exercises. Part 3: Unleashing Your Inner AI Artist Get ready to tap into your creative side! We'll explore how LLMs can assist you in crafting various artistic text formats: Storytelling: Spark your imagination with a starting line and see where the story unfolds! Prompt the LLM and collaborate on creating engaging narratives. Exercises will guide you in co-writing stories with an LLM, taking turns adding sentences. Poetry: Let the AI muse inspire you! We'll experiment with generating poems in different styles, from classic sonnets to modern haikus. Challenge yourself with themed haiku writing exercises using LLMs. Code Generation: Stuck on a coding problem? Discover how LLMs can become your coding assistant! We'll explore using LLMs for code completion and bug detection, putting their capabilities to the test with practical exercises. Part 4: Refining Your Craft - Advanced Techniques Ready to take your skills a step further? We'll delve into advanced techniques for generating more refined and controlled text outputs: Conditional Text Generation: Imagine guiding the LLM to create text that adheres to specific requirements. We'll experiment with specifying genre, style, or even keywords to influence the narrative in your exercises. Sampling Techniques: Discover how to generate diverse outputs from a single prompt! Explore different sampling techniques with LLMs and see how they impact the creativity and unexpectedness of the generated text. You'll compare and analyze outputs generated with different sampling methods. Style and Tone Control: Want your text to sound formal, funny, or even sarcastic? You'll learn how to control the stylistic elements of the generated text, tailoring it to your specific needs. Exercises will guide you in generating product descriptions with different writing styles. By the end of this workshop, you'll be a confident generative AI text creator, equipped with the skills to experiment with LLMs and produce creative, informative, and engaging text formats tailored to your needs.
Author: Mehul Gupta
Publisher: Mehul Gupta
ISBN:
Category : Computers
Languages : en
Pages : 152
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Book Description
Unlock the full potential of Generative AI with "LangChain in your Pocket", a hands-on guide that takes you through the robust LangChain framework. This book provides a step-by-step journey into creating powerful applications, from Auto-SQL and NER to custom Agents and Chains, integrating Memory, OutputParsers, RAG for Q&A, Few-Shot Classification, Evaluators, Autonomous AI agents, Advanced Prompt Engineering and many more. NOTE: Drop an email to
[email protected] with the transaction receipt for a free PDF version. Key Features: Step-by-step code explanations with expected outputs for each solution. No prerequisites: If you know Python, you're ready to dive in. Practical, hands-on guide with minimal mathematical explanations. Book Description: Since the arrival of ChatGPT in late 2022, the AI landscape has evolved dramatically. "LangChain in your Pocket" invites you to move beyond ChatGPT and explore the versatility of LangChain, a Python/JavaScript framework at the forefront of Large Language Models (LLMs). Whether you're building Classification models, Storyteller, or Internet-enabled GPT, LangChain empowers you to do more. This beginner-friendly introduction covers: Basics of Large Language Models (LLMs) and why LangChain is pivotal. Hello World tutorial for setting up LangChain and creating baseline applications. In-depth chapters on each LangChain module. Advanced problem-solving, including Multi-Document RAG, Hallucinations, NLP chains, and Evaluation for LLMs for supervised and unsupervised ML problems. Dedicated sections for Few-Shot Learning, Advanced Prompt Engineering using ReAct, Autonomous AI agents, and deployment using LangServe. Who should read it? This book is for anyone keen on exploring AI, especially Generative AI. Whether you're a Software Developer, Data Scientist, Student or Content Writer, the focus on diverse use cases in LangChain and GenAI makes it equally valuable to all. Table of Contents Introduction Hello World Different LangChain Modules Models & Prompts Chains Agents OutputParsers & Memory Callbacks RAG Framework & Vector Databases LangChain for NLP problems Handling LLM Hallucinations Evaluating LLMs Advanced Prompt Engineering Autonomous AI agents LangSmith & LangServe Additional Features
Author: Anand Vemula
Publisher: Anand Vemula
ISBN:
Category : Computers
Languages : en
Pages : 43
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Book Description
This book delves into the fascinating world of Generative AI, exploring the two key technologies driving its advancements: Large Language Models (LLMs) and Foundation Models (FMs). Part 1: Foundations LLMs Demystified: We begin by understanding LLMs, powerful AI models trained on massive amounts of text data. These models can generate human-quality text, translate languages, write different creative formats, and even answer your questions in an informative way. The Rise of FMs: However, LLMs are just a piece of the puzzle. We explore Foundation Models, a broader category encompassing models trained on various data types like images, audio, and even scientific data. These models represent a significant leap forward in AI, offering a more versatile approach to information processing. Part 2: LLMs and Generative AI Applications Training LLMs: We delve into the intricate process of training LLMs, from data acquisition and pre-processing to different training techniques like supervised and unsupervised learning. The chapter also explores challenges like computational resources and data bias, along with best practices for responsible LLM training. Fine-Tuning for Specific Tasks: LLMs can be further specialized for targeted tasks through fine-tuning. We explore how fine-tuning allows LLMs to excel in areas like creative writing, code generation, drug discovery, and even music composition. Part 3: Advanced Topics LLM Architectures: We take a deep dive into the technical aspects of LLMs, exploring the workings of Transformer networks, the backbone of modern LLMs. We also examine the role of attention mechanisms in LLM processing and learn about different prominent LLM architectures like GPT-3 and Jurassic-1 Jumbo. Scaling Generative AI: Scaling up LLMs presents significant computational challenges. The chapter explores techniques like model parallelism and distributed training to address these hurdles, along with hardware considerations like GPUs and TPUs that facilitate efficient LLM training. Most importantly, we discuss the crucial role of safety and ethics in generative AI development. Mitigating bias, addressing potential risks like deepfakes, and ensuring transparency are all essential for responsible AI development. Part 4: The Future Evolving Generative AI Landscape: We explore emerging trends in LLM research, like the development of even larger and more capable models, along with advancements in explainable AI and the rise of multimodal LLMs that can handle different data types. We also discuss the potential applications of generative AI in unforeseen areas like personalized education and healthcare. Societal Impact and the Future of Work: The book concludes by examining the societal and economic implications of generative AI. We explore the potential transformation of industries, the need for workforce reskilling, and the importance of human-AI collaboration. Additionally, the book emphasizes the need for robust regulations to address concerns like bias, data privacy, and transparency in generative AI development. This book equips you with a comprehensive understanding of generative AI, its core technologies, its applications, and the considerations for its responsible development and deployment.
Author: Cea West
Publisher: Cea West
ISBN:
Category : Computers
Languages : en
Pages : 108
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Book Description
Become a prompt engineer with the help of this practical guide. With broad applicability across various topics such as copywriting, SEO, book writing, fiction, and non-fiction, this comprehensive guide provides valuable insights for anyone interested in exploring the art of prompt engineering. Learn practical strategies to monetize your use of ChatGPT while enhancing your writing and communication skills. Boost the efficiency and productivity of content creation by implementing the actionable knowledge gained from this book.
Author: David Scott Bernstein
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
**Discover the Power of Prompt Engineering to Unlock ChatGPT**Unlock the full potential of ChatGPT and AI-language models with *Prompt Engineering for Everyone*, a groundbreaking guide co-authored by ChatGPT itself. This comprehensive book takes you on a transformative journey into the realm of AI language models, providing practical techniques to craft compelling prompts and revolutionize your interactions with artificial intelligence.From essential prompt writing skills to advanced techniques, this book equips you with the tools to optimize and evaluate prompts, tackle complex topics, and leverage multiple types of prompts. Gain clarity and precision in your AI interactions by learning the art of crafting clear and effective prompts, while understanding the ethics of prompt writing.Step into the future of AI technology with visionary concepts and stay ahead in the rapidly evolving landscape of prompt engineering. Explore the bonus pack for essential prompts and elevate your prompt engineering skills. Get ready to unlock a world of endless possibilities with ChatGPT and prompt engineering! Learn more at https://passprog.com.
Author: Russel Grant
Publisher:
ISBN: 9781962079068
Category :
Languages : en
Pages : 0
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Book Description
Author: Ajit Dash
Publisher: Ajit Dash
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Dive into the world of OpenAI and Azure OpenAI in 36 hrs with this comprehensive guide. From understanding the fundamentals of AI and machine learning to exploring the power of GPT models and advanced NLP techniques, this book equips you with the knowledge to leverage cutting-edge technologies. Learn how to harness tokens, navigate installations, and master prompt engineering. Whether you're a developer, data professional, or AI enthusiast, this book offers hands-on engagement, real-world relevance, and practical insights. Unveil the potential of OpenAI and Azure OpenAI to transform your AI journey In this Step-by-Step Guide, you'll find clear and concise instructions, practical examples, and hands-on exercises that will accelerate your learning journey. From understanding the fundamentals of AI, OpenAI, Azure OpenAI & Machine learning to exploring natural language processing and building chatbots, you'll gain the knowledge and confidence to apply these technologies in real-world scenarios. CHAPTER SUMMARY Chapter 1: Introduction to OpenAI and Azure OpenAI - Exploring OpenAI's mission, Azure OpenAI's features, benefits, and differences between OpenAI and Azure OpenAI. Chapter 2: Understanding AI and ML - Delving into artificial intelligence and machine learning, key components, and the role of deep learning and neural networks. Chapter 3: Introduction to NLP - Basics of natural language processing, techniques like tokenization and text classification, and language model applications. Chapter 4: Exploring GPT Models - Overview of GPT models, details of GPT-3 and GPT-4, their architecture, capabilities, and differences, including GPT-3.5 Turbo and Codex. Chapter 5: How Tokens Work - Understanding tokens in GPT models, their benefits, and examples of successful Azure OpenAI implementations. Chapter 6: Installation of OpenAI - Setting up an OpenAI account, exploring OpenAI product offerings, understanding ChatGPT, DALL-E 2, and APIs. Chapter 7: Installation of Azure OpenAI - Installing and setting up Azure CLI, creating an Azure account, deploying models, and utilizing Azure OpenAI playground and resources. Chapter 8: GPT Model Architecture - Unveiling the architecture of GPT models, their history, and learning more about LLM. Chapter 9: Prompt Engineering - Exploring prompt engineering, in-context shots, text classification, and various use cases. Chapter 10: Content Filtering - Examining content filtering goals, methods, and applications. Chapter 11: Hallucination and Fine-Tuning - Understanding hallucination, fine-tuning, and their best practices. Chapter 12: Use Cases - Installation instructions and examples of interview question generators, stock market recommendations, and building chatbots.
Author: G. P. T. Penguin
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 0
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Book Description
