A Pragmatic Intro to LLMs and GenAI | Notion
This doc is meant for a technical audience that is new to AI/ML, has their social feeds filled up with GenAI news, wants to wrap their head around it—by rooting their understanding on top of foundations, and not hype.
Analogous to the OSI model for networking. These boundaries are still emerging: companies are crossing over them as business models and the customer needs evolve (e.g. OpenAI is in the application layer, base model layer, inference layer, and arguably also in the fine tuning and app framework layers)
[Key question] Who is to gain from these features: incumbents (e.g. GitHub) or new startups (related: do LLMs create a new business model? https://www.sarahtavel.com/p/ai-startups-sell-work-not-software) | ChatGPT, GitHub Copilot, Jasper | | App frameworks layer | Libraries or frameworks that assist building applications for a particular workload[1] (e.g. RAG)
[Optional layer] Not all apps use frameworks, since they can straitjacket experimentation (https://minimaxir.com/2023/07/langchain-problem/)
