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Resources for Prompt Engineering

Continue your learning journey with these curated resources.

πŸ› οΈ AI Platforms & Tools​

Major AI Models​

PlatformURLBest For
ChatGPTchat.openai.comGeneral purpose, coding
Claudeclaude.aiLong documents, analysis
Geminigemini.google.comGoogle integration
Perplexityperplexity.aiResearch with sources
Poepoe.comMultiple models in one place

API Access​

ProviderDocumentation
OpenAIplatform.openai.com/docs
Anthropicdocs.anthropic.com
Google AIai.google.dev
Coheredocs.cohere.com

Open Source Tools​

ToolPurpose
OllamaRun LLMs locally
LangChainBuild LLM applications
LlamaIndexData + LLM framework
Hugging FaceModel hub and tools
vLLMFast LLM serving

πŸ“š Learning Resources​

Official Documentation​

Courses & Tutorials​

  • DeepLearning.AI - ChatGPT Prompt Engineering for Developers
  • Coursera - Generative AI with Large Language Models
  • Learn Prompting - learnprompting.org (free, comprehensive)
  • Prompt Engineering Guide - promptingguide.ai

Books​

  • The Art of Prompt Engineering - Various authors
  • Prompt Engineering for Generative AI - O'Reilly
  • Building LLM Apps - Various publishers

πŸ‘₯ Communities​

Forums & Discussions​

CommunityPlatformFocus
r/PromptEngineeringRedditGeneral PE discussion
r/ChatGPTRedditChatGPT tips and tricks
r/LocalLLaMARedditOpen source models
AI Discord ServersDiscordReal-time discussions

Professional Networks​

  • LinkedIn Groups - Search "Prompt Engineering"
  • Twitter/X - Follow @OpenAI, @AnthropicAI, researchers
  • GitHub - Prompt engineering repositories

πŸ”§ Useful Tools​

Prompt Management​

ToolPurpose
PromptLayerPrompt versioning and analytics
LangfuseLLM observability
Weights & BiasesML experiment tracking

Development Tools​

ToolPurpose
LangChainBuilding LLM chains
LlamaIndexData connectors for RAG
Semantic KernelMicrosoft's LLM SDK
AutoGenMulti-agent conversations

Testing & Evaluation​

ToolPurpose
PromptfooPrompt testing framework
RagasRAG evaluation
LangSmithLangChain debugging

πŸ“° Staying Current​

Newsletters​

  • The Batch (DeepLearning.AI) - Weekly AI news
  • Import AI - Research-focused updates
  • The Algorithmic Bridge - AI analysis

Research Sources​

  • Arxiv - arxiv.org (AI research papers)
  • Papers With Code - paperswithcode.com
  • Semantic Scholar - semanticscholar.org

Conferences​

  • NeurIPS - Neural Information Processing Systems
  • ICML - International Conference on Machine Learning
  • ACL - Association for Computational Linguistics

πŸ’‘ Practice Projects​

Beginner Projects​

  1. Build a personal AI assistant prompt
  2. Create a content generation template
  3. Design a code review prompt
  4. Build a summarization system

Intermediate Projects​

  1. Multi-step workflow with prompt chaining
  2. Customer service chatbot
  3. Document analysis pipeline
  4. A/B testing prompt variants

Advanced Projects​

  1. RAG system with custom data
  2. Multi-agent collaboration
  3. Production prompt management system
  4. Evaluation framework

🎯 Career Resources​

Job Boards​

  • LinkedIn - "Prompt Engineer" searches
  • Indeed - AI/ML roles
  • Wellfound (AngelList) - Startup positions
  • AI-specific job boards

Skills to Develop​

  1. Technical: Python, APIs, data analysis
  2. Communication: Writing, documentation
  3. Domain: Industry-specific knowledge
  4. Evaluation: Metrics, testing methodologies

Building Your Portfolio​

  • GitHub repository of prompts
  • Blog posts about techniques
  • Open source contributions
  • Case studies of real applications

πŸ“ Quick Reference Cards​

Prompt Structure​

Instruction + Context + Input + Output Format

Key Frameworks​

CREATE: Character, Request, Examples, Adjustments, Type, Extras
RACE: Role, Action, Context, Expectations
RTF: Role, Task, Format

Quality Checklist​

☐ Clear instruction
☐ Sufficient context
☐ Specific constraints
☐ Defined format
☐ Tested with variations

Happy Learning! πŸš€

Continue to master prompt engineering and stay ahead in the AI era.

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