Jeff Zemerick, How Organizations Get the Most Out of Their OpenSearch Contributions OpenSearchCon

(25:3)

Using Sockeye Neural Machine Translation in a Streaming Pipeline - Jeff Zemerick

(35:5)

Searching over Multiple Languages - Jeff Zemerick, Mountain Fog \u0026 Suneel Marthi, Red Hat

(31:34)

Leveraging Neural Networks and Learning-to-Rank in Document Workflows - Jeff Zemerick, Mountain Fog

(35:8)

Jeff Zemerick \u0026 David Smithbauer – Applied MLOps to Maintain Model Freshness on Kubernetes

(31:12)

Searching for the Right Words: Bringing NLP to Apache solr through ONNX and OpenNLP - Jeff Zemerick

(40:34)

Using Apache OpenNLP with OpenSearch K-NN Vector Search - Jeff Zemerick, Mountain Fog

(19:55)

From Training to Serving: Machine Learning Models with Terraform

(27:22)

Co to jest Apache Solr? PROSTE wyjaśnienie dla TOTALNIE ZIELONYCH

(18:5)

How to setup remote access for jellyfin using ZeroTier

(9:54)

Cloudflare Zero Trust + Proxmox

(36:22)

End To End Machine Learning Project Implementation Using AWS Sagemaker

(40:25)

Search War: Elasticsearch Vs OpenSearch

(11:37)

Open NLP Meetup #12: From Hybrid Retrieval to RAG with OpenSearch and Haystack

(44:46)

Building full stack AI chatbots with Java | Live coding session

(1:46:36)

3 myths about a/b testing with marketing landing pages

(2:39)

Conversion Models: Building Learning to Rank Training Data - Doug Turnbull, OpenSource Connections

(47:54)

Neural Machine Translation Tutorial - An introduction to Neural Machine Translation

(9:38)

Ep6: Real world Machine Learning - Exposing an AWS SageMaker ML model in a web app.

(57:56)

Atita Arora - Search Relevance Consultant - Revolutionizing E-commerce with Vector Search

(1:32:21)