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Runway AI video editor may get new features soon allowing you to tag specific areas on the image and have "more control" 👀
— 🚨 AI News | TestingCatalog (@testingcatalog) 17 janvier 2024
This feature is not available yet. https://t.co/OfIXY5cC5q
Runway AI video editor may get new features soon allowing you to tag specific areas on the image and have "more control" This feature is not available yet.
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Does anyone have any ComfyUI workflows they want to run on Replicate? Hit me up and I’ll see what we can do.
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@langfuse session ID Once Langfuse is enabled on Flowise, every chat interaction will now tracked by session id. Users also have the option to pass in additional configs like userId. https://
docs.flowiseai.com/using-flowise/
analytic
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Improvement on Airtable, Qdrant, PGVector, Milvus, LocalAI Thanks for all contributors, there have been lots of improvements on other node integrations. Read more from patch note: https://
github.com/FlowiseAI/Flow
ise/releases/tag/flowise1.4.10
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💾 AstraDB@DataStax AstraDB is a NoSQL and Vector DB for Generative AI, powered by Apache Cassandra.
— FlowiseAI (@FlowiseAI) 17 janvier 2024
Use it within Flowise as a vector store for your RAG apps.
Thanks goes to hakeemsyd who contributed to this integration! pic.twitter.com/I6a5AwlRjI
AstraDB @DataStax AstraDB is a NoSQL and Vector DB for Generative AI, powered by Apache Cassandra. Use it within Flowise as a vector store for your RAG apps. Thanks goes to hakeemsyd who contributed to this integration!
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Vectara MMR Thanks to @ofermend
, max marginal relevance is now available to be used on Vectara node in Flowise, more coming soon!
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Global variables Create variables that can be used in Custom Tool Function: `$vars.` This is useful when you need the function to get dynamic variables, particularly when making API calls. https://
docs.flowiseai.com/integrations/t
ools/custom-tool#pass-variables-to-function
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1st release in 2024 v1.4.10: Global variables LCEL AstraDB Vectara MMR Langfuse SessionId Improvement on Airtable, Qdrant, PGVector, Milvus, LocalAI
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HF:
https://huggingface.co/spaces/microsoft/LLMLingua
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anyone know a model that’s out there that’s encoder-only (BERT-like) but supports a really long context length? also what's the most efficient way of processing many tokens like this? i know about enabling FlashAttention & BetterTransformer. what else is out there?