Resources
A curated collection of tools, platforms, tutorials, and communities for your LLM journey.
🤖 Major LLM Platforms
Consumer Products (Free Tiers Available)
| Platform | Provider | Best For |
|---|---|---|
| ChatGPT | OpenAI | General use, coding, writing |
| Claude | Anthropic | Long documents, research |
| Gemini | Multimodal, Google integration | |
| Copilot | Microsoft | Microsoft ecosystem |
API Access (For Developers)
| Platform | Documentation |
|---|---|
| OpenAI API | GPT-4, GPT-3.5, DALL-E |
| Anthropic API | Claude models |
| Google AI | Gemini models |
| Azure OpenAI | Enterprise GPT access |
🏠 Local LLM Tools
Getting Started
| Tool | Platform | Description |
|---|---|---|
| Ollama | Mac, Windows, Linux | Easiest way to run local LLMs |
| LM Studio | Mac, Windows | Visual interface, no coding |
| GPT4All | All platforms | Simple desktop app |
| Jan | All platforms | Privacy-focused, modern UI |
Advanced Tools
| Tool | Description |
|---|---|
| llama.cpp | Lightweight, efficient inference |
| text-generation-webui | Feature-rich interface |
| vLLM | High-throughput serving |
📚 Open-Source Models
Where to Find Models
| Repository | Description |
|---|---|
| Hugging Face | Largest model repository |
| Ollama Library | Pre-packaged for Ollama |
Notable Model Families
| Model | Provider | Sizes |
|---|---|---|
| Llama 3 | Meta | 8B, 70B |
| Mistral | Mistral AI | 7B |
| Mixtral | Mistral AI | 8x7B |
| Gemma | 2B, 7B | |
| Phi-3 | Microsoft | 3.8B |
| Qwen 2 | Alibaba | 0.5B-72B |
📰 Staying Current
Newsletters
| Newsletter | Focus |
|---|---|
| The AI Exchange | Daily AI news digest |
| Import AI | Technical AI developments |
| The Batch | Andrew Ng's weekly update |
| Ben's Bites | AI applications and tools |
Podcasts
| Podcast | Description |
|---|---|
| Lex Fridman Podcast | Long-form AI researcher interviews |
| Practical AI | Applied AI topics |
| The TWIML AI Podcast | Technical deep dives |
| AI Explained | Model releases and capabilities |
YouTube Channels
| Channel | Focus |
|---|---|
| Two Minute Papers | Research paper summaries |
| AI Explained | LLM developments |
| Matt Wolfe | AI tools and news |
| Andrej Karpathy | Deep technical content |
🎓 Learning Resources
Free Courses
| Course | Provider | Level |
|---|---|---|
| ChatGPT Prompt Engineering | DeepLearning.AI | Beginner |
| Generative AI for Everyone | DeepLearning.AI | Beginner |
| LLM University | Cohere | Intermediate |
Documentation
| Resource | Description |
|---|---|
| OpenAI Docs | Official OpenAI documentation |
| Anthropic Docs | Claude documentation |
| Hugging Face Docs | Open-source models and tools |
Books
| Book | Author | Focus |
|---|---|---|
| Prompt Engineering Guide | DAIR.AI | Practical prompting |
| Build a Large Language Model (From Scratch) | Sebastian Raschka | Technical understanding |
🛠️ No-Code Tools
Automation
| Tool | Description |
|---|---|
| Zapier | Connect AI to 5,000+ apps |
| Make (Integromat) | Visual automation |
| n8n | Self-hosted automation |
AI Builders
| Tool | Description |
|---|---|
| ChatGPT GPT Builder | Custom GPTs without code |
| Poe | Multi-model access and bots |
| Character.AI | Character-based AI |
Document/Data Tools
| Tool | Description |
|---|---|
| NotebookLM | AI for your documents |
| ChatPDF | Chat with PDFs |
| Perplexity | AI-powered search |
👥 Communities
Forums & Discussion
| Community | Platform |
|---|---|
| r/LocalLLaMA | Reddit - Local LLM running |
| r/ChatGPT | Reddit - ChatGPT tips |
| Hugging Face Discord | Open-source AI community |
| Ollama Discord | Local LLM help |
Professional
| Platform | Focus |
|---|---|
| LinkedIn AI Groups | Professional networking |
| Twitter/X AI Community | Follow researchers |
🔬 Research & Papers
Academic Sources
| Source | Description |
|---|---|
| arXiv cs.CL | Latest NLP papers |
| Papers With Code | Papers with implementations |
| Semantic Scholar | AI-powered academic search |
Key Papers to Understand LLMs
| Paper | Significance |
|---|---|
| "Attention Is All You Need" (2017) | Introduced Transformers |
| "Language Models are Few-Shot Learners" (GPT-3) | Demonstrated scale |
| "Training language models to follow instructions" | RLHF for ChatGPT |
🛡️ Safety & Ethics
| Resource | Description |
|---|---|
| AI Alignment Forum | Technical safety research |
| Partnership on AI | Industry best practices |
| Center for AI Safety | AI risk research |
💼 Business Resources
| Resource | Description |
|---|---|
| a16z AI | Enterprise AI perspectives |
| McKinsey AI | Business AI strategy |
| Gartner AI | Market research |
🚀 Getting Started Checklist
Week 1: Explore
- Try ChatGPT free tier
- Try Claude free tier
- Compare responses to the same prompt
Week 2: Go Deeper
- Install Ollama and run a local model
- Read the OpenAI documentation
- Subscribe to one AI newsletter
Week 3: Build
- Create a custom GPT or automation
- Try a no-code integration
- Join an AI community
Week 4: Contribute
- Share what you've learned
- Help someone else get started
- Identify an AI project for your work/life
Keep Learning!
The AI field moves fast. Regular engagement with these resources will help you stay current and continue developing your skills.
Good luck on your AI journey!