#MachineLearning Solutions Architect Handbook — Practical Strategies and Best Practices in the #ML Lifecycle, System Design, #MLOps, and Generative AI: http://
amzn.to/4bx8t6b v/ @PacktPublishing ——————
#DataScience #DataScientist #AI #GenAI #GenerativeAI #LLMs #LLMOps
SYSTEMS
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Machine Learning Solutions Architect Handbook: ML Lifecycle and MLOps
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Conscious thought versus embodied intelligence in complex systems
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It’s funny how much we focus on our conscious faculties to deal with symbolic abstractions of reality and ignore the intelligence and complexity underpinning all the other processes in our body that continue without any conscious thought or intervention whatsoever.
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Scalable Performance and Trash Removal System Implementation
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We are always implementing things like this with scalable performance in mind If there will be too many fractures flying around, the Trash Removal system will delete it and the performance would resume.
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Complex Systems Evaluation: When Vibes Matter Most
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When a human-facing system becomes sufficiently complex, "vibes" become a perfectly valid evaluation methodology
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Edge AI in 2025: Latency, Privacy and Energy Efficiency
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Edge #AI in 2025 Our CTO, Evangelos Eleftheriou, explains:
• Faster decisions w/ reduced latency (autonomous driving)
• Local data = lower costs & better energy efficiency
• Privacy & security for regulations like GDPR Check it out! #EdgeAI #NGIPredictions2025 -
Merging System 1 and System 2 in Deep Learning Research
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I've been talking about some of these ideas — merging "System 1" deep learning with "System 2" program search, on-the-fly knowledge recombination in the face of new tasks, lifelong learning, autonomous abstraction generation — since 2017. While I was at Google, this type of
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Swarm Intelligence: Understanding Intelligent Agents Terminology
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“Swarm of intelligent agents” is an interesting choice of words. https://t.co/M0hryz9hR7
— Paul Roetzer (@paulroetzer) 15 janvier 2025“Swarm of intelligent agents” is an interesting choice of words.
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FSM Mental Models for Agent Development and State Management
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#1: i graphs/fsm is useful mental model/devX for building agents (this is a matter of taste though) #2: state management (short memory: easy, long term memory: medium, checkpointing: hard, human-in-the-loop: hard)
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AI Integration: Frontier vs Legacy Model Deployment Unclear
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Doesn’t say what type of AI (frontier or old gen) will be mainlined I guess
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Fault-Tolerant Network Fabric with Redundant Communication Pathways
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Our network fabric is also fault tolerant. When a defect is detected, the chip automatically routes around it using redundant communication pathways. The software layer presents the chip as a 2D grid even when there are defects.