Category: AI & ML
-
Designing AI Infrastructure for the Modern Enterprise
Enterprises are increasingly prioritising AI infrastructure, particularly generative AI, as essential for integrating AI frameworks into business workflows. The demand for specialised infrastructure is driven…
-
Vector Index, Databases and Search using OpenAI, Pinecone & Pentaho
The second part of the Embedding blog series revolves around understanding vector search, vector indexing, and vector databases. Vector indexing arranges embeddings for quick retrieval,…
-
Understanding Embeddings with Pentaho and OpenAI GPT
Embeddings are numerical representations of data objects, capturing their context and meaning. They play a vital role in machine learning and deep learning, offering benefits…
-
Building OpenAI GPT Assistant Framework with Pentaho
This blog post discusses about the building of OpenAI GPT Assistant Framework using Pentaho Data Integration. The blog post discusses the integration of OpenAI GPT…
-
Image Classification, an overview
The article discusses image classification in machine learning and AI, with a focus on Convolutional Neural Networks (CNN). It explains the basic concepts, application, and…
-
Vertex AI : one platform to rule them all, an introduction
Google Cloud recently unveiled Vertex AI, a unified AI/ML platform designed to fast-track the development and maintenance of AI/ML solutions. Offering a unique, integrated pipeline…
-
An Introduction to MLOps
Building machine learning (ML) systems can be an arduous process that includes a wealth of hidden technical debts. In enterprise set-ups, where expectation is for…
-
Topic Modelling : Latent Dirichlet Allocation, an introduction
Imagine finding meaning out of a news content which you haven’t seen before. Topic Modelling is a type of statistical modelling that solves the purpose…
Tech Spaghetti 