benchambers

8 ms·

1.
Extraction Matters Most(dewykb.github.io)
2 points by benchambers 3y ago|1 comments
2.
by benchambers 3y ago
Ran some experiments to see how different things affected the quality of results from a retrieval-augmented generation (RAG) pipeline. Post shows results and details / code for how to run similar experiments yourself.
3.
by benchambers 3y ago
Author here. When I started hearing about Generative AI, I was really excited about the potential for "always on" agents eagerly assisting me rather than passively waiting for the next question. I wrote this blog-post as I've
4.
Always On: Four Pillars of Real-Time Generative AI(kaskada.io)
4 points by benchambers 3y ago|1 comments
5.
by benchambers 3y ago
In this post, Therapon and I dive into a bunch of temporal queries showcasing some really powerful concepts -- using multiple event streams in a single query, creating windows delimited by properties in the data, and performing temporal joi
6.
by benchambers 3y ago
Hey -- it's Ben (one of the authors of the post). The most interesting thing about timelines to me is how naturally they work at multiple layers. This post shows how well they can be used for understanding values over time. But we&#x27
7.
by benchambers 4y ago
Interesting that you mention DSLs like Drools and Esper. One of the things we'd like to do is explore ways to bring the complex/composite event-processing (CEP) functionality to Kaskada. SQL does include "match recognize&quot
8.
Show HN: Kaskada – modern, open-source event processing(github.com)
28 points by benchambers 4y ago|3 comments
9.
by benchambers 7y ago
KASKADA | SEATTLE | FULL-TIME | ONSITE Looking for: Full-time engineers for full-stack web-application and data-processing backend Kaskada is a Seattle-based startup revolutionizing enterprise machine learning through the use of real-time d
10.
by benchambers 7y ago
KASKADA | SEATTLE | FULL-TIME | ONSITE Looking for: Full-time engineers for full-stack web-application and data-processing backend Kaskada is a Seattle-based startup revolutionizing enterprise machine learning through the use of real-time d