Lessons
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lesson
Navigating the Landscape of LLM Projects & ModalitiesAI Accelerator- Compare transformer-based LLMs vs diffusion models and their use cases - Understand the "lego blocks" of LLM-based systems: prompts, embeddings, generation, inference - Explore core LLM application types: RAG, vertical models, agents, and multimodal apps - Learn how LLMs are being used in different roles and industries (e.g., healthcare, finance, legal) - Discuss practical project scoping: what to build vs outsource, how to identify viable ideas - Identify limitations of LLMs: hallucinations, lack of reasoning, sensitivity to prompts - Highlight real-world startup examples (e.g., AutoShorts, HeadshotPro) and venture-backed tools
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Bonus ContentAI Accelerator- 2 courses - [Fundamentals of transformers with Alvin Wan](https://www.newline.co/courses/fundamentals-of-transformers-live-workshop) and [Responsive LLM Applications with Server-Sent Events](https://www.newline.co/courses/responsive-llm-applications-with-server-sent-events) - Prompt engineering templates - AI newsletters, channels, X, reddit channels - Break down of LLama components - Open source models with their capabilities - Data sources - AI specific cloud services - Open source frameworks - Project ideas from other indie hackers - Bonus: FANG Machine learning interview cheatsheet - Free API Keys for building AI Applications - How people will are using GenAI in 2025 - How to stay ahead of AI Trends? - N8N and Free High-Roi AI Automation Templates worth $50,000
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Agent Design PatternsAI Accelerator- Understand agent design patterns: Tool use, Planning, Reflection, Collaboration - Learn evaluation challenges in agent systems: output variability, partial correctness - Study architecture patterns: single-agent vs constellation/multi-agent - Explore memory models, tool integration, and production constraints - Compare agent toolkits: AutoGen, LangGraph, CrewAI, and practical use cases
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AI Onboarding & Python EssentialsAI Accelerator- Welcome & Community - Course Overview - Community: Getting Started with Circle and Notion - Python & Tooling Essentials - Intro to Python: Why Python for AI and Why Use Python 3 (Not Python 2) - Install Python and Set Virtual Environments - Basic Python Introduction: Variables, Data Types, Loops & Functions - Using Jupyter Notebooks - Introduction to AI Tools & Ecosystem - Introduction to AI & Why Learn It - Models & Their Features: Choosing the Right AI Model for Your Needs - Finding and Using AI Models & Datasets: A Practical Guide with Hugging Face - Using Restricted vs Unrestricted Open-Source AI Models from Hugging Face - Hardware for AI: GPUs, TPUs, and Apple Silicon - Advanced AI Concepts Worth Knowing - Practical Tips on How to Be Productive with AI - Brainstorming Ideas with AI - Brainstorming with Prompting Tools
