Jaap Hoekzema
Freelance fotograaf
Jaap Hoekzema is an experienced German Teacher with a strong background in education management. His expertise spans across Nonprofit Organizations, Event Photography, Coaching, and Government. He holds a 1st focused in Physical Education Teaching and Coaching from Christelijke Hogeschool Windesheim. Jaap pursued his diploma in Hoger algemeen voortgezet onderwijs (Havo) at Guido de Brès, Amersfoort.
Highlights
Announcing generative LLMs in Vespa
Over the last six months, we have invested heavily in integrating LLMs into the core Vespa engine, simplifying search deployments, and allowing developers to choose between local (GGUF) inferencing and external LLM providers with similar APIs.
The rise of large language models (LLMs) has transformed search and information retrieval, and we at @vespaengine have been hard at work since the early days, allowing inferencing with encoder-based transformer models for embeddings, retrieval, and ranking.
Now, we are unlocking the potential of larger generative LLMs for a broader range of retrieval and ranking-related serving tasks, including summarization of information from retrieved contexts (RAG).
Read more in the announcement and try out the new Vespa sample applications!
[https://t.co/ofLyTUhury](https://t.co/ofLyTUhury](https://blog.vespa.ai/vespa-and-llms/))
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Mutual Connections
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Mutual Connections
Jaap Hoekzema
Freelance fotograaf
Jaap Hoekzema is an experienced German Teacher with a strong background in education management. His expertise spans across Nonprofit Organizations, Event Photography, Coaching, and Government. He holds a 1st focused in Physical Education Teaching and Coaching from Christelijke Hogeschool Windesheim. Jaap pursued his diploma in Hoger algemeen voortgezet onderwijs (Havo) at Guido de Brès, Amersfoort.
Highlights
Announcing generative LLMs in Vespa
Over the last six months, we have invested heavily in integrating LLMs into the core Vespa engine, simplifying search deployments, and allowing developers to choose between local (GGUF) inferencing and external LLM providers with similar APIs.
The rise of large language models (LLMs) has transformed search and information retrieval, and we at @vespaengine have been hard at work since the early days, allowing inferencing with encoder-based transformer models for embeddings, retrieval, and ranking.
Now, we are unlocking the potential of larger generative LLMs for a broader range of retrieval and ranking-related serving tasks, including summarization of information from retrieved contexts (RAG).
Read more in the announcement and try out the new Vespa sample applications!
[https://t.co/ofLyTUhury](https://t.co/ofLyTUhury](https://blog.vespa.ai/vespa-and-llms/))
People also Viewed