LLM Technology

https://towardsdatascience.com/retrieval-augmented-generation-intuitively-and-exhaustively-explain-6a39d6fe6fc9

Retrieval Augmented Generation — Intuitively and Exhaustively Explain Making language models that can look stuff up

https://www.anyscale.com/blog/a-comprehensive-guide-for-building-rag-based-llm-applications-part-1

Building RAG-based LLM Applications for Production (Part 1) In this guide, we will learn how to develop and productionize a retrieval augmented generation (RAG) based LLM application, with a focus on scale, evaluation and routing.

https://python.plainenglish.io/chatbot-document-retrieval-asking-non-trivial-questions-c9b1560becb6

Chatbot Document Retrieval: Asking Non-Trivial Questions No more simple inquiries — let’s put the chatbots to the test with complex, data-driven questions.

https://cobusgreyling.medium.com/openai-gpt-3-5-turbo-model-fine-tuning-dd76f50db27f

OpenAI GPT-3.5 Turbo Model Fine-Tuning This article considers the process, speed and data requirements to create a fine-tuned model. On 22 August 2023 OpenAI announced the…

https://python.langchain.com/docs/modules/data_connection/indexing?fbclid=IwAR1KOrouqRCQpAkpkXp61qSEuz5JZwXlixUgBL7IXGHEHDvFsnNc9GCZ1Kk

Indexing | 🦜️🔗 Langchain Here, we will look at a basic indexing workflow using the LangChain indexing API.