Natural Language Processing

Auto Added by WPeMatico

Retailers bring conversational AI and analytics closer to the user

ai, AI (Artificial Intelligence), Artificial Intelligence, conversational interfaces, Data Analytics, Marketing AI, Natural Language Processing, product testing, Retail, Retail & Logistics AI

After years of experimentation with artificial intelligence, retailers are striving to embed consumer insight directly into everyday commercial decisions. First Insight, a US-based analytics company specialising in predictive consumer feedback, argues that the next phase of retail AI should be epitomised by dialogue, not dashboards. Following a three-month beta programme, First Insight has made its […]

Retailers bring conversational AI and analytics closer to the user Read More »

There is yet another AI productivity gap

Applied AI Modeling, Artificial Intelligence, best practices, deep learning, Generative AI, Large Language Models, LLMs, Natural Language Processing, Uncategorized

When I first started as a data scientist, there was a gap. I met with dozens of organizations who would invest time and resources into building accurate and tuned models and then ask, “What now?” They had a fantastic model in hand but couldn’t get it into a place and […] The post There is

There is yet another AI productivity gap Read More »

MIT researchers “speak objects into existence” using AI and robotics

Architecture, Artificial Intelligence, Center for Bits and Atoms, Computer science and technology, Design, Electrical engineering and computer science (EECS), Fabrication, Human-computer interaction, Mechanical engineering, MIT Morningside Academy for Design, MIT Schwarzman College of Computing, Natural Language Processing, Research, Robotics, School of Architecture and Planning, School of Engineering

Generative AI and robotics are moving us ever closer to the day when we can ask for an object and have it created within a few minutes. In fact, MIT researchers have developed a speech-to-reality system, an AI-driven workflow that allows them to provide input to a robotic arm and “speak objects into existence,” creating

MIT researchers “speak objects into existence” using AI and robotics Read More »

mall 0.2.0

Artificial Intelligence, LLM, Natural Language Processing, Polars, Python, R, Tabular Data

The mall 0.2.0 update for R and Python introduces support for external LLM providers like OpenAI and Gemini. This version also features parallel processing for R users, the ability to run NLP on string vectors in Python, and a brand new cheatsheet.

mall 0.2.0 Read More »

LLaMA in R with Keras and TensorFlow

Artificial Intelligence, Generative Models, Natural Language Processing, R, TensorFlow/Keras

Implementation and walk-through of LLaMA, a Large Language Model, in R, with TensorFlow and Keras.

LLaMA in R with Keras and TensorFlow Read More »

What are Large Language Models? What are they not?

Artificial Intelligence, Concepts, Meta, Natural Language Processing

This is a high-level, introductory article about Large Language Models (LLMs), the core technology that enables the much-en-vogue chatbots as well as other Natural Language Processing (NLP) applications. It is directed at a general audience, possibly with some technical and/or scientific background, but no knowledge is assumed of either deep learning or NLP. Having looked

What are Large Language Models? What are they not? Read More »

GPT-2 from scratch with torch

Artificial Intelligence, Natural Language Processing, R, Torch

Implementing a language model from scratch is, arguably, the best way to develop an accurate idea of how its engine works. Here, we use torch to code GPT-2, the immediate successor to the original GPT. In the end, you’ll dispose of an R-native model that can make direct use of Hugging Face’s pre-trained GPT-2 model

GPT-2 from scratch with torch Read More »

Introducing mall for R…and Python

Artificial Intelligence, LLM, Natural Language Processing, Polars, Python, R, Tabular Data

We are proud to introduce the {mall} package. With {mall}, you can use a local LLM to run NLP operations across a data frame. (sentiment, summarization, translation, etc). {mall} has been simultaneously released to CRAN and PyPi (as an extension to Polars).

Introducing mall for R…and Python Read More »

Introducing the text package

Artificial Intelligence, Natural Language Processing, R

The text package attempts to provide user-friendly access and pipelines to HuggingFace’s transformer language models in R.

Introducing the text package Read More »

State-of-the-art NLP models from R

Artificial Intelligence, Natural Language Processing

Nowadays, Microsoft, Google, Facebook, and OpenAI are sharing lots of state-of-the-art models in the field of Natural Language Processing. However, fewer materials exist how to use these models from R. In this post, we will show how R users can access and benefit from these models as well.

State-of-the-art NLP models from R Read More »