The longer holiday weekend edition. Opportunities and Risks of LLMs for Scalable Deliberation with Polis — Polis is a platform that leverages machine intelligence to scale up deliberative processes. In this paper, we explore the opportunities and risks associated with… Continue Reading →
What I’m reading today. How Unstructured and LlamaIndex can help bring the power of LLM’s to your own data All You Need to Know to Build Your First LLM App — A Step-by-Step Tutorial to Document Loaders, Embeddings, Vector Stores… Continue Reading →
Large language models (LLM) are notoriously huge and expensive to work with. An LLM requires a lot of specialized hardware to train and manipulate. We’ve seen efforts to transform and quantize the models that result in smaller footprints and models… Continue Reading →
One can use this notebook to build a pipeline to parse and extract data from OCRed PDF files. Warning: When using LLMs for entity extraction, be sure to perform extensive quality control. They are very susceptible to distracting language (latching… Continue Reading →
LLMs promise to fundamentally change how we use AI across all industries. However, actually serving these models is challenging and can be surprisingly slow even on expensive hardware. Today we are excited to introduce vLLM, an open-source library for fast… Continue Reading →
Large language models are a powerful new primitive for building software. But since they are so new—and behave so differently from normal computing resources—it’s not always obvious how to use them.In this post, we’re sharing a reference architecture for the… Continue Reading →
This repository shares code used to implement the methods described in Unsupervised Machine Scoring of Free Response Answers—Validated Against Law School Final Exams, presented at the Computational Legal Studies Conference, March 2022, hosted by the Center for Computational Law at Singapore Management… Continue Reading →
Code 0n Github: https://github.com/FlowiseAI/Flowise Read the original story
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