Sublime
An inspiration engine for ideas
well-arranged words rearrange reality.
Visakan Veerasamy • Tweet
How does C. S. Lewis do that, every paragraph is a book https://t.co/Th1Fchsa3k
NotebookLlama: An Open Source version of NotebookLM 🙏
A complete tutorial on building a PDF to Podcast flow using Llama:
- 1B to pre-process PDF
- 70B to convert it to a podcast Transcript
- 8B to make it more dramatic
- Parler and Suno models for T... See more
This text can be written material like an e-mail, transcribed material such as a medical dictation, or even text that has been scanned from a hard copy and converted to electric form like old courthouse records.
Bill Franks • Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
In LangChain, we first load documents through data loaders. Then we can transform them and pass these documents to a vector store as embedding. We can then query the vector store or a retriever associated with the vector store. Retrievers in LangChain can wrap the loading and vector storage into a single step.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
"Human ordeals thrive on ignorance. To understand a problem with clarity is already halfway towards solving it."