The Inventive, Often Messy World of Textual Information | by TDS Editors

For a number of years, the intersection of textual content and knowledge stayed (roughly) inside the realm of pure language processing (NLP) — the big selection of machine studying duties that leverage textual knowledge for prediction, classification, and advice instruments.

The rise of enormous language fashions has launched a number of thrilling new potentialities into the sector, with novel use instances and progressive workflows popping up at a fast clip. Our highlights this week symbolize a large cross-section of ideas and approaches that dig deeper into this rising space. From immediate engineering to text-to-image and text-to-speech purposes, we’re thrilled to share work by authors who discover the artistic potentialities of textual knowledge as each inputs and outputs of those highly effective fashions. Let’s dive in.

Lost in DALL-E 3 Translation
What occurs once you use text-to-image instruments like DALL-E 3 in languages aside from English? Yennie Jun continues to discover the discrepancies in mannequin efficiency for customers working in under-resourced languages and the methods wherein gender and different biases seep by into the generated pictures.
How to Convert Any Text Into a Graph of Concepts
In his newest put up, Rahul Nayak dives deep into the world of Data-Graph Augmented Technology, strolling us by the method of reworking a textual content corpus right into a Graph of Ideas (GC) after which visualizing it to detect patterns and draw significant insights.

RAG: How to Talk to Your Data
We’ve lined retrieval-augmented era many instances in latest months, however Mariya Mansurova’s addition to the dialog continues to be very a lot price your time: it presents a compelling, sensible workflow for analyzing buyer suggestions utilizing ChatGPT.
FastSpeech: Paper Overview & Implementation
Textual content-to-speech instruments have made main strides in recent times. To achieve a stable understanding of how they work and the way transformers are employed to enhance their efficiency, don’t miss Essam Wisam’s accessible introduction to the FastSpeech paper from 2019, which facilitated a lot of the progress we’ve seen on this area.
Unlocking the Power of Text Data with LLMs
In the event you’re a newbie who’d like to begin experimenting with cutting-edge text-data methods, Sofia Rosa’s step-by-step information will get you rolling up your sleeves very quickly. It walks us by a whole workflow, from downloading knowledge to working with GPT-3 and analyzing outcomes.
A Universal Roadmap for Prompt Engineering: The Contextual Scaffolds Framework (CSF)
Immediate engineering has emerged as a vital part within the interaction between human instinct and enormous language fashions’ capabilities. Giuseppe Scalamogna goes past primary prompting suggestions and methods to current the contextual scaffolds framework (CSF), a “normal function psychological mannequin for efficient immediate engineering.”