Modeling and Integration

Samantha Epstein2023-07-17T19:54:19+00:00June 30th, 2023|Categories: Blog, Data Science, Modeling and Integration|

Emerj AI in Business Podcast with Ben Webster In this episode of the AI in Business Podcast, we shed light on the Value of Topic Search in Detecting Signals with ROI - with Ben Webster of NLP Logix (emerj.com). Ben Webster, an NLP Logix Data Science Solutions Architect, discusses the use of topic search as a business capability, as well as the importance of detecting and responding to meaningful signals from both inside and outside the organization in order to achieve ROI. Together with Emerj Senior Matthew DeMello, Ben addresses the challenges with this modern discipline and how to connect the results. Grab your earbuds for more riveting discussion from NLP Logix [...]

Large Language Models: The Power of Knowing

Data Science, Modeling and Integration, Natural Language Processing

Large Language Models: The Power of Knowing

Samantha Epstein2023-07-18T13:36:43+00:00June 12th, 2023|Categories: Data Science, Modeling and Integration, Natural Language Processing|

Large Language Models – Do you really know the difference between ALPaCA and LLaMa? They may look similar but licensing restrictions on Large Language Models (LLMs) can have some very distinguishing features. You’ll want to learn to stay safe/keep from tripping up in the new world of LLMs. There is so much excitement/buzz surrounding large language models (LLMs) – the powerful tools reshaping how we work, how we write emails, post blogs, generate text, translate languages, etc. These amazing tools don’t come without restrictions and limitations that companies should thoroughly vet before using an LLM algorithm to train their own, proprietary large language model. You guessed it - the licensing restrictions [...]

Data: Rethinking the Approach

Computer Vision, Modeling and Integration

Data: Rethinking the Approach

Sarah Wong2023-08-07T18:15:33+00:00July 5th, 2022|Categories: Computer Vision, Modeling and Integration|

Debunking Myths - Rethinking the Approach to Data Since the inception of NLP Logix in 2011, clients have asked the team to solve an array of machine learning and automation challenges. In the quest to unravel those challenges and provide client solutions the NLP Logix team has often defaulted to multiple lenses… meaning sometimes the obvious path requires a second look from a different perspective. Recently, our team was able to figure out a difficult issue by rethinking the approach to the data. Read on. Case in point, when working on a computer vision model the NLP Logix team was tasked with identifying malfunctioning pistons. When the pistons were caught [...]