Seonglae ChoLLM Development Tools
LLM App Tools
Not real boundary tho
Why You (Probably) Don't Need to Fine-tune an LLM - Tidepool by Aquarium
In this post, we’ll talk about why fine-tuning is probably not necessary for your app, and why applying two of the most common techniques to the base GPT models — few-shot prompting and retrieval-augmented generation (RAG) — are sufficient for most use cases.
https://www.tidepool.so/2023/08/17/why-you-probably-dont-need-to-fine-tune-an-llm/
Patterns for Building LLM-based Systems & Products
Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback.
https://eugeneyan.com/writing/llm-patterns/
The New Language Model Stack
How companies are bringing AI applications to life
https://www.sequoiacap.com/article/llm-stack-perspective
