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Posts by Lester Solbakken
Securely Storing Secrets on Vespa Cloud
Learn how to securely store and manage sensitive secrets in your Vespa Cloud applications using Vespa's built-in secret store.
Vespa and LLMs
Introducing LLM support in Vespa using both external and local LLMs
Machine-learned model serving at scale
An under-communicated point is that the default tuning for most libraries and platforms for evaluating machine-learned models is unsuitable for serving at scale.
Text-to-image search with Vespa
In this post we explore a text-to-image search application on Vespa using approximate nearest neighbor search on vector representations of text and images.
Computing with tensors in Vespa
In this blog post, we'll explore some of the unique properties of tensors in Vespa.
Accelerating stateless model evaluation on Vespa
It has become increasingly important to efficiently evaluate machine-learned models in the stateless container cluster. We have recently added accelerated model evaluation here, which opens...
Using approximate nearest neighbor search in real world applications
From text search and recommendation to ads and online dating, ANN search rarely works in isolation.
Stateful model serving: how we accelerate inference using ONNX Runtime
There's a difference between stateless and stateful model serving.
From research to production: scaling a state-of-the-art machine learning system
How we implemented a production-ready question-answering application and reduced response time by more than two orders of magnitude.
Efficient open-domain question-answering on Vespa.ai
In this post, we reproduce the state-of-the-art baseline for retrieval-based question-answering systems within a single, scalable production ready application on Vespa.ai.
Introducing NLP with Transformers on Vespa
We’ve been working a lot lately on evaluating Transformer models in Vespa. Here we show how and share a bit on how we view the...
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