Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap https://
dl.acm.org/doi/10.1145/36
86803
… https://
github.com/545659928/GenA
I4SAS
…
provide researchers and practitioners a comprehensive snapshot that outlines the potential benefits and challenges of employing GenAI’s within SAS.
SYSTEMS
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Generative AI for Self-Adaptive Systems: Research and Implementation
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AI Accelerator Cards Enable Real-Time Deep Learning Smart City Solutions
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At the 2024 @EmbVisionSummit
, we showcased our #tsunAImi AI accelerator cards powered by our flagship #runAI ICs. See how our real-time #deeplearning solutions enable precise #smartcity applications like crosswalk analysis for smarter, safer communities. -
Compound AI Systems Design: Scaffolding for Observe-Execute-Reflect
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+1 system design for compound AI systems. matches our findings — once you figure out how to design the scaffolding around the AI for it to observe, execute, reflect, you can get impressive results from it.
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First Foundation Weather Model Prithvi WxC Enables Life-Saving Predictions
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> The first ever Foundation weather model: Prithvi WxC enables life-saving weather predictions! Hurricane Katrina killed hundreds of people as it made landfall on New Orleans in 2005 – many of these deaths could have been avoided if alerts had been given one day earlier.
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Router between Llama-3.1-405B and 70B arbitrates strength and speed
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This is great news! There's one router between Llama-3.1-405B and Llama-3.1-70B, can come in really handy to arbitrate between strength and speed depending on your task!
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Echo Merge: Optimizing Layer Replication in AI Models
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For the echo merge, the idea is that self-merges might be slightly "insane" because replicating blocks of several layers disrupts the information flow. By only replicating individual layers in a distributed way, I'm trying to minimize the input/output difference they introduce.
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5G and Edge Computing Enhance Data Processing Responsiveness
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A Perfect Pairing! 5G & Edge Computing: Together they enhance responsiveness, capacity and reliability by processing #data closer to where it’s generated!
— Sen. Sally Eaves (@sallyeaves) 22 septembre 2024
🌟See🔗https://t.co/Rx70pgVZr0 ◀️@TMobileBusiness
🔸This is critical for applications such as augmented reality #AR and… pic.twitter.com/gjJ06uqIzYA Perfect Pairing! 5G & Edge Computing: Together they enhance responsiveness, capacity and reliability by processing #data closer to where it’s generated! See
http://
bit.ly/3WzPqTV @TMobileBusiness This is critical for applications such as augmented reality #AR and -
Agent Internal State and Game State Architecture Design
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Pretty specific on the game imo. Each player (agent) should have its own internal state, and then the game should be the state of the overall agent
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Anthropic’s prompt caching enables more efficient LLM algorithms
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Anthropic's prompt caching really should be better known. A lot of features that distinguish LLM vendors are incremental nice-to-haves, but prompt caching enables algorithms otherwise too slow and costly to consider:
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GPT-4o tokenization splits ‘strawberry’ into single-character tokens
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In both the prompt and response above, each letter in “strawberry” is assigned by the GPT-4o tokenizer to a separate single-character token, instead of being combined into subword-length tokens like “st” “raw” “berry” etc.: