Advaita, or non-dualism, seems very abstract. What does it mean, “the seer is not the seen”? More importantly, does it have any use for a working adult? This post is a quick operator runbook of non-dualism.
[Read More]Ego is the problem
This is a blog post that’s kind of self-defeating.
[Read More]Semantic Search on PDFs with Elasticsearch
This document shows semantic search on Elasticsearch on PDF documents without any additional client code.
[Read More]SSO and RBAC for Elasticsearch (Kibana)
This page documents the steps for:
- using an external Identity Provider for user authentication to Kibana (single sign-on, aka SSO)
- providing differentiated access to Kibana based on the assigned role to the authenticated user (role-based access control, aka RBAC)
System Setup for GPU Performance Measurements
In this document, I outline the steps to set up a system to take NVIDIA GPU performance measurements. This could be required, for example, to analyze and improve the performance of an LLM.
[Read More]Field Level Access Control with Elasticsearch
This page documents experiments with field-level access control in ES8.x.
[Read More]Favorite Books of 2024
Some favorite books of 2024, and further thoughts they evoke.
[Read More]Opinion: With Apache Beam, Tread Carefully
Machine learning teams today often want to process data in real-time. They also standardize on Python as a programming language. Apache Beam supports Python and gives a lot of hope, but my opinion is that this combination is practically too complex and unreliable to put in production.
[Read More]Implementation Notes on LLMs for the Enterprise Use-Case
Note: My blog posts are (still) 100% handwritten, without any contribution from an AI model.
Large language models (LLMs) are very powerful, as ChatGPT has demonstrated very successfully. In this post, I will document some caveats, tips and pointers if you are interested in utilizing an LLM for an enterprise use-case.
[Read More]Tutorial: Understanding Beam with a Local Beam, Flink and Kafka Environment
This is a tutorial-style article. I wrote it in June/July 2022, but found time to clean up and make a blog post only in September 2022.
This tutorial is relevant to software engineers and data scientists who work with Apache Beam on top of Apache Flink.
Our goal is to set up a local Beam and Flink environment that can run cross-language Beam pipelines.
Specifically, in this tutorial, I will discuss how to set up your laptop to run a Beam pipeline that:
[Read More]