We made a splash??? here at Texas Self Storage Association (TSSA) this week! A big thank you to our new and long standing friends who joined us for an engaging conversation—and for helping us catch the elusive self-storage bandit! With NodiFi’s real-time updates, we can ensure he won’t be back (though who wouldn’t enjoy another opportunity to dunk Bobby Linneman!) Beyond the self-storage bandit, we’d love to hear from you: what issues are you currently facing? What insights did you gain at TSSA? Share your thoughts in the comments below! #tssa #bigideas24 #nodaFindYourTime
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'Check out the latest #DataProtection updates for Q3 2024 to Zerto and #HPEGreenLake for #DisasterRecovery.'
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Are you headed to HIMSS24? Thought I would share this helpful webinar of all you need to know before you go!
Ready-Set-Go HIMSS24
events.teams.microsoft.com
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Inference with long contexts has become increasingly important for enabling real-world applications of #LLMs, particularly in scenarios requiring the integration of external information such as retrieval-augmented generation (RAG) and function calling. Join experts at #GTC24 explaining the practical challenges associated with deploying long context LLMs.
NVIDIA GTC 2024 | Efficient Deployment of Long-Context Large Language Models
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Inference with long contexts has become increasingly important for enabling real-world applications of #LLMs, particularly in scenarios requiring the integration of external information such as retrieval-augmented generation (RAG) and function calling. Join experts at #GTC24 explaining the practical challenges associated with deploying long context LLMs. Colin Dablain | David Liedtka
NVIDIA GTC 2024 | Efficient Deployment of Long-Context Large Language Models
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Inference with long contexts has become increasingly important for enabling real-world applications of #LLMs, particularly in scenarios requiring the integration of external information such as retrieval-augmented generation (RAG) and function calling. Join experts at #GTC24 explaining the practical challenges associated with deploying long context LLMs. Colin Dablain | David Liedtka
NVIDIA GTC 2024 | Efficient Deployment of Long-Context Large Language Models
要查看或添加评论,请登录
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Inference with long contexts has become increasingly important for enabling real-world applications of #LLMs, particularly in scenarios requiring the integration of external information such as retrieval-augmented generation (RAG) and function calling. Join experts at #GTC24 explaining the practical challenges associated with deploying long context LLMs. Colin Dablain | David Liedtka
NVIDIA GTC 2024 | Efficient Deployment of Long-Context Large Language Models
要查看或添加评论,请登录
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Inference with long contexts has become increasingly important for enabling real-world applications of #LLMs, particularly in scenarios requiring the integration of external information such as retrieval-augmented generation (RAG) and function calling. Join experts at #GTC24 explaining the practical challenges associated with deploying long context LLMs. Colin Dablain | David Liedtka
NVIDIA GTC 2024 | Efficient Deployment of Long-Context Large Language Models
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Across three days at #ALTC24, we will critically examine current practices as well as looking to the future. Join us to analyse what we might do differently and collectively discuss where developments in learning theory and learning technology might lead us. Register now - https://buff.ly/4cIoabM
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Inference with long contexts has become increasingly important for enabling real-world applications of #LLMs, particularly in scenarios requiring the integration of external information such as retrieval-augmented generation (RAG) and function calling. Join experts at #GTC24 explaining the practical challenges associated with deploying long context LLMs. Colin Dablain | David Liedtka
NVIDIA GTC 2024 | Efficient Deployment of Long-Context Large Language Models
要查看或添加评论,请登录
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Inference with long contexts has become increasingly important for enabling real-world applications of #LLMs, particularly in scenarios requiring the integration of external information such as retrieval-augmented generation (RAG) and function calling. Join experts at #GTC24 explaining the practical challenges associated with deploying long context LLMs. Colin Dablain | David Liedtka
NVIDIA GTC 2024 | Efficient Deployment of Long-Context Large Language Models
要查看或添加评论,请登录
Ex-Founder | Gen AI Collective | Just words (W24) | Avid Traveler | Javaphile | Cat Dad | Founder?
1 个月Top tier marketing!