Unlocking the Secrets of Prompt Engineering Master the Art of Creative Language Generation to Accelerate Your Journey from Novice to Pro
Enhance your writing with AI by mastering prompt engineering techniques and become an expert in developing and utilizing LLM prompts across applications Key Features Master prompt engineering techniques to harness AI's writing potential Discover diverse LLM applications for content creation and...
Otros Autores: | , |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Birmingham, England :
Packt Publishing
[2024]
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Edición: | First edition |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009827938106719 |
Tabla de Contenidos:
- Cover
- Title Page
- Copyright and Credits
- Dedications
- Foreword
- Contributors
- Table of Contents
- Part 1: Introduction to Prompt Engineering
- Chapter 1: Understanding Prompting and Prompt Techniques
- Technical requirements
- Introducing LLM prompts
- How LLM prompts work
- Architecture
- LLM training
- A journey from prompt to reply - how inference helps LLMs fill in the blanks
- Types of LLM prompts
- Components of an LLM prompt
- Adopt any persona - role prompting for tailored interactions
- Few-shot learning - training models with example prompts
- Finding your voice - defining personality in prompts
- Using patterns to enhance prompt effectiveness
- Mix and match - strategic combinations for enhanced prompts
- Exploring LLM parameters
- How to approach prompt engineering (experimentation)
- The challenges and limitations of using LLM prompts
- Summary
- Chapter 2: Generating Text with AI for Content Creation
- Using AI for copywriting
- Creating social media posts
- Writing a Twitter thread
- Writing an Instagram post
- Producing high-converting sales copy
- Writing video scripts
- Generating blog posts, articles and news
- Creating engaging content with AI
- How to use AI for personalized messaging
- Creating tailored content with AI
- Summary
- Part 2: Basic Prompt Engineering Techniques
- Chapter 3: Creating and Promoting a Podcast Using ChatGPT and Other Practical Examples
- Crafting podcast questions for celebrity guests
- Preparing podcast questions with everyday guests
- Identify topics, ideas, and potential guest speakers for your podcast
- Using AI to promote a podcast
- Writing a summary of the podcast episode
- Crafting engaging quotes for social media promotion
- Conceptualizing podcast highlight reels
- Repurposing podcasts into shareable blog content.
- Identifying insightful interview questions
- Sharpening interview skills with AI-generated responses
- Generating strategic questions for client engagements with AI
- Summary
- Chapter 4: LLMs for Creative Writing
- Using AI for creative writing
- Using AI to generate fiction
- Using AI to write poetry
- Summary
- Chapter 5: Unlocking Insights from Unstructured Text - AI Techniques for Text Analysis
- Sentiment analysis - AI techniques for emotion detection in text
- Organizing unstructured data - using AI for automated text categorization and data classification
- Cleaning up dirty data - how AI identifies and resolves issues in datasets
- Making sense of unstructured data - pattern matching for information extraction
- Summary
- Part 3: Advanced Use Cases for Different Industries
- Chapter 6: Applications of LLMs in Education and Law
- Creating course materials with ChatGPT
- Creating handouts and other materials
- Creating handouts for the unit
- Creating solved examples
- Word problems
- Creating quizzes
- Creating rubrics
- Creating cloze comprehension tests
- AI for legal research
- Reviewing legal documents using an LLM
- Drafting legal documents with an LLM
- AI for legal education and training
- LLMs for eDiscovery and litigation support
- AI for intellectual property (IP) management
- Other applications of LLMs for lawyers
- Summary
- Chapter 7: The Rise of AI Pair Programmers - Teaming Up with Intelligent Assistants for Better Code
- Code generation with coding assistants
- From confusion to clarity - AI explains what code does in plain English
- Commenting, formatting, and optimizing code
- Fixing faulty code - how AI transforms the debugging process
- Translating code from one language to another
- Case study 1 - developing a website code using AI.
- Case study 2 - creating a Chrome extension using AI
- Summary
- Chapter 8: AI for Chatbots
- Technical requirements
- How to use GPT-4 APIs and other LLM APIs to create chatbots
- Building conversational interfaces with LLM APIs
- How to use AI for customer support
- Case study - a chatbot using AI to assist users in ordering products
- Case study - creating interactive quizzes/assessments and deploying them as chatbot flows
- Summary
- Chapetr 9: Building Smarter Systems - Advanced LLM Integrations
- Automating bulk prompting with spreadsheets
- Integrating LLMs into your tech stack using Zapier and Make
- Creating and translating product descriptions
- Moving beyond APIs - building custom LLM pipelines with LangChain
- LangChain's building blocks
- LangChain's no-code tools - Langflow and Flowise
- LangSmith - debug, test, and monitor your LLM workflows
- The future of LLM integration - plugins, agents, assistants, GPTs, and multimodal models
- Summary
- Part 4: Ethics, Limitations, and Future Developments
- Chapter 10: Generative AI - Emerging Issues at the Intersection of Ethics and Innovation
- Exploring the ethical challenges of generative AI
- Trust and accountability challenges of generative AI
- Economic impact considerations
- Environmental sustainability issues
- Societal risks and reflections
- Broader societal impacts
- What machine creativity reveals about cognition
- Concerns in defense and healthcare
- The path forward - solutions and safeguards
- Summary
- Chapter 11: Conclusion
- Recap of the book's content
- Expanding possibilities - innovative prompt engineering applications
- Achieving intended outcomes - prompt engineering goals
- Understanding limitations and maintaining oversight
- Summary
- Index
- Other Books You May Enjoy.