کتاب مهندسی پرامپت برای هوش مصنوعی مولد

پنج اصل پرامپت‌نویسی

Overview of the Five Principles of Prompting • 1. Give Direction • 2. Specify Format • 3. Provide Examples • 4. Evaluate Quality • 5. Divide Labor • Summary

مقدمه‌ای بر مدل‌های زبانی بزرگ برای تولید متن

What Are Text Generation Models? • Vector Representations: The Numerical Essence of Language • Transformer Architecture: Orchestrating Contextual Relationships • Probabilistic Text Generation: The Decision Mechanism • Historical Underpinnings: The Rise of Transformer Architectures • OpenAI’s Generative Pretrained Transformers • GPT-3.5-turbo and ChatGPT • GPT-4 • Google’s Gemini • Meta’s Llama and Open Source • Leveraging Quantization and LoRA • Mistral • Anthropic: Claude • GPT-4V(ision) • Model Comparison • Summary

روش‌های استاندارد تولید متن با ChatGPT

Generating Lists • Hierarchical List Generation • When to Avoid Using Regular Expressions • Generating JSON • YAML • Filtering YAML Payloads • Handling Invalid Payloads in YAML • Diverse Format Generation with ChatGPT • Mock CSV Data • Explain It like I’m Five • Universal Translation Through LLMs • Ask for Context • Text Style Unbundling • Identifying the Desired Textual Features • Generating New Content with the Extracted Features • Extracting Specific Textual Features with LLMs • Summarization • Summarizing Given Context Window Limitations • Chunking Text • Benefits of Chunking Text • Scenarios for Chunking Text • Poor Chunking Example • Chunking Strategies • Sentence Detection Using SpaCy • Building a Simple Chunking Algorithm in Python • Sliding Window Chunking • Text Chunking Packages • Text Chunking with Tiktoken • Encodings • Understanding the Tokenization of Strings • Estimating Token Usage for Chat API Calls • Sentiment Analysis • Techniques for Improving Sentiment Analysis • Limitations and Challenges in Sentiment Analysis • Least to Most • Planning the Architecture • Coding Individual Functions • Adding Tests • Benefits of the Least to Most Technique • Challenges with the Least to Most Technique • Role Prompting • Benefits of Role Prompting • Challenges of Role Prompting • When to Use Role Prompting • GPT Prompting Tactics • Avoiding Hallucinations with Reference • Give GPTs “Thinking Time” • The Inner Monologue Tactic • Self-Eval LLM Responses • Classification with LLMs • Building a Classification Model • Majority Vote for Classification • Criteria Evaluation • Meta Prompting • Summary

تکنیک‌های پیشرفته تولید متن با LangChain

Introduction to LangChain • Environment Setup • Chat Models • Streaming Chat Models • Creating Multiple LLM Generations • LangChain Prompt Templates • LangChain Expression Language (LCEL) • Using PromptTemplate with Chat Models • Output Parsers • LangChain Evals • OpenAI Function Calling • Parallel Function Calling • Function Calling in LangChain • Extracting Data with LangChain • Query Planning • Creating Few-Shot Prompt Templates • Fixed-Length Few-Shot Examples • Formatting the Examples • Selecting Few-Shot Examples by Length • Limitations with Few-Shot Examples • Saving and Loading LLM Prompts • Data Connection • Document Loaders • Text Splitters • Text Splitting by Length and Token Size • Text Splitting with Recursive Character Splitting • Task Decomposition • Prompt Chaining • Sequential Chain • itemgetter and Dictionary Key Extraction • Structuring LCEL Chains • Document Chains • Stuff • Refine • Map Reduce • Map Re-rank • Summary

پایگاه‌های داده برداری با FAISS و Pinecone

Retrieval Augmented Generation (RAG) • Introducing Embeddings • Document Loading • Memory Retrieval with FAISS • RAG with LangChain • Hosted Vector Databases with Pinecone • Self-Querying • Alternative Retrieval Mechanisms • Summary

عامل‌های خودمختار با حافظه و ابزارها

Chain-of-Thought • Agents • Reason and Act (ReAct) • Reason and Act Implementation • Using Tools • Using LLMs as an API (OpenAI Functions) • Comparing OpenAI Functions and ReAct • Use Cases for OpenAI Functions • ReAct • Use Cases for ReAct • Agent Toolkits • Customizing Standard Agents • Custom Agents in LCEL • Understanding and Using Memory • Long-Term Memory • Short-Term Memory • Short-Term Memory in QA Conversation Agents • Memory in LangChain • Preserving the State • Querying the State • ConversationBufferMemory • Other Popular Memory Types in LangChain • ConversationBufferWindowMemory • ConversationSummaryMemory • ConversationSummaryBufferMemory • ConversationTokenBufferMemory • OpenAI Functions Agent with Memory • Advanced Agent Frameworks • Plan-and-Execute Agents • Tree of Thoughts • Callbacks • Global (Constructor) Callbacks • Request-Specific Callbacks • The Verbose Argument • When to Use Which? • Token Counting with LangChain • Summary

مقدمه‌ای بر مدل‌های انتشار برای تولید تصویر

OpenAI DALL-E • Midjourney • Stable Diffusion • Google Gemini • Text to Video • Model Comparison • Summary

روش‌های استاندارد تولید تصویر با Midjourney

Format Modifiers • Art Style Modifiers • Reverse Engineering Prompts • Quality Boosters • Negative Prompts • Weighted Terms • Prompting with an Image • Inpainting • Outpainting • Consistent Characters • Prompt Rewriting • Meme Unbundling • Meme Mapping • Prompt Analysis • Summary

تکنیک‌های پیشرفته تولید تصویر با Stable Diffusion

Running Stable Diffusion • AUTOMATIC1111 Web User Interface • Img2Img • Upscaling Images • Interrogate CLIP • SD Inpainting and Outpainting • ControlNet • Segment Anything Model (SAM) • DreamBooth Fine-Tuning • Stable Diffusion XL Refiner • Summary

ساخت برنامه‌های کاربردی مبتنی بر هوش مصنوعی

AI Blog Writing • Topic Research • Expert Interview • Generate Outline • Text Generation • Writing Style • Title Optimization • AI Blog Images • User Interface • Summary