Curator: Dr. Ahmed Halloub
500+ Tools | 200+ Prompts | 120+ LLM Libraries | 100+ MCP Servers | 50+ Agent Frameworks
Languages: English | العربية (Arabic)
This repository contains battle-tested AI resources compiled from leading open-source repositories. A comprehensive collection designed for professionals seeking practical, production-ready AI solutions.
| Resource | Description |
|---|---|
| Professional Prompts | 200+ ready-to-use prompts for every profession |
| AI Tools | 500+ tools organized by category |
| LLM Development Libraries | 120+ Python libraries for LLM engineering |
| MCP Servers | 100+ integrations to extend AI capabilities |
| Agent Frameworks | 50+ frameworks for building autonomous systems |
| Learning Paths | Structured curricula for 6 professional roles |
| Use Cases | Real-world implementations across 10+ industries |
| Comparison Guides | Side-by-side tool and model comparisons |
| Security Guide | Comprehensive security and compliance practices |
| Workflows | Pre-built automation pipelines and code examples |
| Benchmarks | Performance metrics and cost analyses |
| 16+ Comprehensive Guides | Everything from basics to production deployment |
New to AI? → Start with Learning Paths and FAQ
Need AI tools? → Browse AI Tools Directory and Comparison Guides
Building with Python LLMs? → Explore LLM Development Libraries with 120+ libraries
Want practical examples? → Explore Use Cases Library and Workflows Gallery
Building applications? → Check API Integration Guide and AI Best Practices
Need prompts? → View Prompts Library with 200+ examples
Security concerns? → Read Security Guide
Optimizing costs? → See Cost Optimization
Having issues? → Check Troubleshooting Guide
AI-Resources-Hub/
├── README.md
├── AI-BEST-PRACTICES.md # Start here
├── FAQ.md # Frequently asked questions
├── GLOSSARY.md # AI terminology reference
├── CHANGELOG.md # Version history
├── CONTRIBUTING.md # Contribution guidelines
│
├── RESOURCES/
│ ├── PROMPTS-LIBRARY.md # 200+ professional prompts
│ ├── AI-TOOLS-DIRECTORY.md # 500+ AI tools
│ ├── LLM-DEVELOPMENT-LIBRARIES.md # 120+ Python LLM libraries
│ ├── MCP-SERVERS-DIRECTORY.md # 100+ MCP servers
│ ├── AI-AGENTS-FRAMEWORKS.md # 50+ agent frameworks
│ ├── API-INTEGRATION-GUIDE.md # Complete API guide
│ ├── USE-CASES-LIBRARY.md # Real-world implementations
│ ├── COMPARISON-GUIDES.md # Tool comparisons
│ ├── LEARNING-PATHS.md # Structured curricula
│ ├── SECURITY-GUIDE.md # Security best practices
│ ├── COST-OPTIMIZATION.md # Cost reduction strategies
│ ├── TROUBLESHOOTING.md # Common issues & solutions
│ ├── WORKFLOWS-GALLERY.md # Pre-built workflows
│ ├── BENCHMARKS.md # Performance metrics
│ ├── DATASETS-DIRECTORY.md # Training datasets
│ └── COMMUNITY-RESOURCES.md # Communities & learning
│
├── TOOLS_GUIDES/
│ ├── CLI-TOOLS.md
│ └── WEB-APPS.md
│
└── AR/ # Arabic translations
├── README.md
└── RESOURCES/
Essential reading for effective AI implementation:
- Advanced prompting techniques
- Token optimization strategies
- Security and privacy guidelines
- Cost management approaches
- Enterprise deployment patterns
200+ professional-grade prompts organized by category:
- Development & Technical: Ethereum, Python, SQL, Code Review
- Creative & Writing: Novelist, Screenwriter, Poet
- Business & Professional: CEO, Product Manager, Accountant
- Education & Expertise: Teachers, Historians, Statisticians
- System Prompts: ChatGPT, Claude, v0, Cursor
- Healthcare, Legal, Design, and more
300+ AI tools across 16 categories:
- Foundational Models: OpenAI, Anthropic, Google, Meta, Mistral
- Text & Language: ChatGPT, Claude, Gemini, Local LLMs
- Code & Development: GitHub Copilot, Cursor, Tabnine
- Image Generation: DALL-E, Midjourney, Stable Diffusion
- Video Generation: Sora, Runway, Synthesia
- Audio & Voice: ElevenLabs, Murf, AIVA
- Plus 10 additional categories
120+ Python libraries for LLM engineering across the complete development lifecycle:
- Training & Fine-Tuning: unsloth, PEFT, TRL, Transformers, Axolotl
- Application Frameworks: LangChain, Llama Index, HayStack, Prompt flow
- RAG Libraries: FastGraph RAG, Chonkie, RAGChecker, BeyondLLM
- Inference & Serving: vLLM, LightLLM, TensorRT-LLM, LitServe
- Agents: CrewAI, LangGraph, AutoGen, Smolagents, Pydantic AI
- Evaluation: Ragas, DeepEval, Lighteval, Trulens
- Monitoring: MLflow, Opik, LangSmith, Phoenix
- Safety & Security: Guardrails, LLM Guard, NeMo Guardrails
- Plus 7 additional categories
100+ Model Context Protocol servers for extended capabilities:
- Developer Tools: GitHub, GitLab, Azure DevOps, Jenkins
- Data & Analytics: Databricks, BigQuery, Snowflake, MongoDB
- Cloud Platforms: AWS, Azure, Google Cloud, Firebase
- Communication: Slack, Teams, Discord, WhatsApp
- Business Tools: Notion, Linear, Jira, HubSpot
50+ frameworks for building autonomous systems:
- General Purpose: AutoGPT, BabyAGI, AgentGPT
- Multi-Agent Systems: AutoGen, CrewAI, MetaGPT, ChatDev
- Coding Agents: Aider, GPT Engineer, Continue, Devika
- Research Agents: GPT Researcher, ChemCrow
- Building Platforms: Flowise, LangChain, Semantic Kernel
Complete with GitHub stars, examples, and use cases.
Comprehensive guide to major AI APIs:
- OpenAI API: GPT-4, DALL-E, Embeddings, Vision
- Anthropic Claude: Tool use, streaming, vision, caching
- Google Gemini: Multimodal capabilities, long context
- Integration Patterns: Retry logic, rate limiting, caching
- Best Practices: Security, performance, cost optimization
- 100+ Code Examples: Production-ready implementations
Real-world AI implementations across industries:
- Healthcare: Clinical decision support, medical documentation
- Legal: Contract review, legal research
- Finance: Financial analysis, fraud detection
- Marketing: Content generation, SEO optimization
- Software Development: Code review, documentation
- 10+ Industries: Practical examples with ROI metrics
Side-by-side comparisons to choose the right tools:
- LLMs: GPT-4 vs Claude vs Gemini
- Coding Assistants: Cursor vs Copilot vs Windsurf
- Vector Databases: Pinecone vs Qdrant vs Weaviate
- Embeddings: OpenAI vs Cohere vs open-source
- Complete Analysis: Speed, quality, cost, features
Structured curricula for different roles:
- Developer: API integration to production deployment
- Business Professional: Productivity to transformation
- Data Scientist: Analysis to ML integration
- Content Creator: Tools to workflows
- Researcher: Literature review to publication
- Product Manager: Strategy to execution
Comprehensive security and compliance:
- Prompt Injection Prevention: Defense strategies
- Data Privacy: GDPR, HIPAA, compliance
- API Security: Key management, rate limiting
- Model Security: Preventing data leakage
- 100+ Code Examples: Secure implementations
Strategies to reduce AI costs by 50-70%:
- Token Optimization: Reduce usage without quality loss
- Model Selection: Right model for each task
- Caching Strategies: Save 90% on repeated queries
- Batch Processing: 50% API discounts
- ROI Calculation: Measure business impact
Solutions to common issues:
- API Errors: 401, 429, 400, 500 resolution
- Rate Limiting: Backoff strategies
- Context Windows: Token management
- Performance: Speed optimization
- Quality Issues: Prompt engineering fixes
Pre-built automation workflows:
- Research: Paper analysis, literature reviews
- Content: Blog generation, social media
- Data Analysis: Automated insights and reports
- Development: Code review, documentation
- Multi-Agent: Collaborative AI systems
Performance metrics and comparisons:
- LLM Performance: MMLU, HumanEval scores
- Speed Tests: Response times, throughput
- Quality Evaluation: Writing, coding, reasoning
- Cost per Task: Actual usage costs
- Updated Quarterly: Latest model comparisons
Curated datasets for training and testing:
- NLP: SQuAD, GLUE, MultiNLI
- Code: The Stack, HumanEval, APPS
- Vision: ImageNet, COCO, CIFAR
- Domain-Specific: Medical, legal, financial
- Benchmark Sets: Evaluation standards
Connect and learn:
- Communities: Discord, Reddit, forums (100K+ members)
- Newsletters: Daily/weekly AI updates
- YouTube: Top AI channels and tutorials
- Podcasts: Technical deep-dives
- Events: Conferences and meetups
- FAQ - Frequently asked questions
- Glossary - AI terminology explained
- Changelog - Version history and updates
- Contributing - How to contribute
- 500+ resources from 10+ leading repositories
- Verified and categorized content
- Regular updates with latest developments
- Battle-tested in production environments
- Industry best practices
- Advanced implementation techniques
- Ready-to-use prompts and code examples
- Step-by-step integration guides
- Real-world use cases and patterns
- Clean, logical structure
- Easy navigation with clear categories
- Comprehensive cross-linking
Resources available for all major AI providers:
| Provider | Models | Primary Use Cases |
|---|---|---|
| Anthropic | Claude 4 Opus/Sonnet, Claude 3.5 Haiku | Large documents, coding, analysis |
| OpenAI | GPT-4, GPT-4 Turbo, GPT-3.5, o1 | Content creation, general tasks, vision |
| Gemini Pro, Gemini Ultra, Gemini Flash | Multimodal, integration | |
| Meta | Llama 4, Llama 2 | Open source, customizable |
| Mistral | Mistral Large 2, Mixtral, Codestral | European option, code |
| Metric | Count |
|---|---|
| Total Resources | 1100+ |
| Professional Prompts | 200+ |
| AI Tools | 500+ |
| LLM Development Libraries | 120+ |
| MCP Servers | 100+ |
| Agent Frameworks | 50+ |
| Comprehensive Guides | 16 |
| Code Examples | 150+ |
| Workflows & Templates | 20+ |
| Documentation | 110,000+ words |
| Datasets Listed | 50+ |
| Community Resources | 100+ |
| Source Repositories | 16+ |
- Learning Paths → Developer curriculum
- LLM Development Libraries → 120+ Python libraries
- API Integration Guide → Complete API guide
- Workflows Gallery → Code examples
- Security Guide → Secure implementations
- Troubleshooting → Debug common issues
- AI Agents Frameworks → Build agents
- Learning Paths → Content creator path
- Use Cases → Content workflows
- Prompts Library → Creative prompts
- AI Tools Directory → Content tools
- Learning Paths → Business professional path
- Use Cases Library → Business applications
- Cost Optimization → ROI strategies
- Comparison Guides → Tool selection
- Learning Paths → Researcher curriculum
- Use Cases → Research workflows
- Datasets Directory → Training data
- Benchmarks → Performance metrics
- Learning Paths → PM curriculum
- Use Cases Library → Product features
- Comparison Guides → Vendor selection
- Security Guide → Compliance
- Learning Paths → DS curriculum
- Datasets Directory → Training datasets
- Benchmarks → Model evaluation
- Workflows Gallery → Analysis pipelines
Content compiled and verified from leading open-source repositories:
Prompts:
- f/awesome-chatgpt-prompts (105k★)
- dontriskit/awesome-ai-system-prompts (3k★)
AI Tools:
- eudk/awesome-ai-tools
- filipecalegario/awesome-generative-ai (60k★)
- mahseema/awesome-ai-tools (20k★)
MCP Servers:
- modelcontextprotocol/servers (Official Anthropic)
- punkpeye/awesome-mcp-servers (2k★)
AI Agents:
- e2b-dev/awesome-ai-agents (8k★)
- kyrolabs/awesome-agents (3k★)
- slavakurilyak/awesome-ai-agents
LLM Development Libraries:
- KalyanKS-NLP/llm-engineer-toolkit (8k★)
APIs:
- OpenAI Cookbook (Official)
- Anthropic Claude Cookbook (Official)
- Google AI Documentation (Official)
Contributions are welcome! We appreciate your help in making this resource better.
Ways to contribute:
- Suggest new AI tools and resources
- Report outdated information
- Submit real-world use cases
- Improve documentation
- Add code examples and workflows
- Share benchmarks and performance data
See CONTRIBUTING.md for detailed guidelines
Quick start:
- Check existing issues
- Follow the style guide
- Submit via GitHub Issue or Pull Request
- Join the community discussions
Dr. Ahmed Halloub
- Email: ahmedhalloub17@gmail.com
- Phone: +213 554-227-641 / +1 323-503-2960
- Website: www.ahmedhalloub.com
- LinkedIn: linkedin.com/in/ahmedhalloub
Available for consulting on AI implementation, digital transformation, and business intelligence solutions.
MIT License - Free to use in your projects.
Compiled from leading open-source repositories with contributions from the global AI community.
Curator: Dr. Ahmed Halloub
Last Updated: November 2, 2025 Version: 2.0.1 - LLM Development Libraries Added