#vectorstore — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #vectorstore, aggregated by home.social.
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New research shows semantic caching can cut LLM inference costs by up to 73%—even when cache hits are misleading. The AdaptiveSemanticCache uses a QueryClassifier and similarity thresholds to decide when to reuse embeddings from a vector_store, dramatically reducing token usage. Curious how this works and how you can apply it to your own models? Read the full breakdown. #SemanticCaching #LLM #VectorStore #EmbeddingModel
🔗 https://aidailypost.com/news/semantic-caching-can-slash-llm-costs-by-73-despite-misleading-cache
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⬆️🧵 #AI #Learnathons🧵⬇️
3) 🗼 Berlin, December 14th at the @KNIME Berlin office with Armin Rudd
https://meetup.com/berlin-knime-users/events/296852930/
#lowcodenocode #datascience #machinelearning #vectorstore #knowledgebase #LLM #PromptEngineering #ChatBot #GenerativeAI #dataapps #KNIME
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⬆️🧵 #AI #Learnathons🧵⬇️
2) 🏰 Nottingham, November 30th at Nottingham Trent Univeristy with Daphiny Pottmaier and Girinath G. Pillai
https://meetup.com/knime-user-group-uk/events/296716982/
#lowcodenocode #datascience #machinelearning #vectorstore #knowledgebase #LLM #PromptEngineering #ChatBot #GenerativeAI #dataapps
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⬆️🧵 #AI #Learnathons🧵⬇️
1) ⚓ Hamburg, November 23rd at
@Kuehne_Nagel
with Alessandro Romanohttps://meetup.com/hamburg-knime-meetup/events/296653789/
#lowcodenocode #datascience #machinelearning #vectorstore #knowledgebase #LLM #PromptEngineering #ChatBot #GenerativeAI #dataapps
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⬆️🧵 #KNIME #DataApp Examples 🧵⬇️
#ChatBot for asking specific questions on a just uploaded #PDF powered by #OpenAI and a #VectorStore
Read more on how to deploy a #CustomLLM into a #DataApp at: https://knime.com/blog/baking-ai-into-apps