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Speeding up text generation with non-autoregressive language models
Large Language Models (LLMs) for generating text have recently exploded in popularity. In recent weeks, millions of users have experimented with OpenAI’s ChatGPT model for tasks ranging from writing college essays to generating code….
An Introduction to Vision Transformers for Document Understanding
Here at Unstructured, we use advanced document understanding techniques to help data scientists extract key information from PDFs, images, and Word documents. The goal of this blog post is to provide an overview of the document understanding models …
LLMs and the Emerging
ML Tech Stack
The pace of development in the Large Language Model (LLM) space has exploded over the past several months and one of the most interesting storylines has been the rapid shift toward a new tech stack to support an entirely new engagement pattern with these language models….
How Unstructured and LlamaIndex can help bring the power of LLM’s to your own data
In this tutorial, we’ll show you how to easily obtain insights from SEC 10-K filings, using the power of a few core components: 1) Large Language Models (LLM’s), 2) Data Parsing through Unstructured, and 3) Data Indexing through LlamaIndex! We show how the LlamaIndex tooling can help you build…
Prompting large language models to solve document understanding
Document understanding to date has largely combined segmentation modules for identifying areas of a document that contain text and an OCR module for extracting the text. Recently, transformer based models have begun to dominate the scene. Th…
Speeding up text generation with non-autoregressive language models
Large Language Models (LLMs) for generating text have recently exploded in popularity. In recent weeks, millions of users have experimented with OpenAI’s ChatGPT model for tasks ranging from writing college essays to generating code….
