∗ This is part one of a two part series, please also take a look part two, the Cobus Quadrant of NLU Design.

There use to be many mobile flashlight apps, until the phone OS came standard with flashlight functionality. —

Large Language Model Applications are also referred to as LLM Apps, Generative Apps or “Gen Apps” for short. — Starting with large models, the term Large Language Models (LLMs) has been used interchangeably with Foundation Models (FMs) and Multimodal Models. Large Language Models (LLMs) are indeed foundational machine learning models that use deep learning algorithms. …

Using Google Cloud Vertex AI a ML model can be trained which facilitates multi-label responses. — In previous posts I wrote an overview of Google Cloud Vertex AI, data preparation and creating a text classification model. Considering text classification within Vertex AI, the text data type options are: Single label text classification Multi-label text classification Entity extraction Emotion detection

By leveraging Google’s AutoML feature, classification models can be created with little to no technical effort. — For starters, here are a few general observations: There are many elements of Vertex AI in general and AutoML in specific which reminds me of HuggingFace🤗 autoTRAIN. AutoML allows for quick prototyping and exploration of data sets making use of a no-code studio approach. Vertex AI has two text classification…

In the coming posts I will be doing a few deep dives on Google Vertex AI. This post focusses on data engineering and following a data-centric approach to AI. Datasets is the first step in the Vertex AI workflow. — In a previous post on Vertex AI I gave an overview of Vertex AI within the context of LLMs and Generative AI. In this post I consider the practicalities around engineering training data.

Google launched Vertex AI 18 May 2021 at Google I/O and it seems like the product has faired well considering all the developments in LLMs and Generative AI — Predictive AI & Generative AI Large Language Models have two main use-cases, or sides if you like. The one is Generative, and the other side is Predictive. There has been much hype and use-case development around the Generative side of LLMs; often referred to as Generative AI.

The service is however only available for applicants from the U.S. and U.K. with a rollout to more regions and languages being imminent. — Google has made a number of announcements recently with focus on Generative Apps. With products like Google Vertex AI, Google Generative AI App Builder and the concept of Gen Apps. As seen in the image below, users can ask Bard to generate a new response on a question…

Like so many others, I received access to OpenAI GPT-4 during the past week. Here is what to expect… —