Deploying AI models to embedded targets usually means a full SDK on a device that doesn't necessarily have room for it. So Voyager 1.6 splits that workflow in two. You compile your model on a development machine using axelera-devkit, which produces an .axm file. Then you run it
AI
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Reinforcement Learning foundational book 2nd edition announcement
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Reinforcement Learning foundational book (2nd edition of this classic mathematical textbook): https://
amzn.to/3UtbeAa
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#AI #MachineLearning #ML #Mathematics #Gamification -

New release: A Practical Guide to RLHF from Packt
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New release from @PacktDataML at https://
amzn.to/3PMn1ZL "A Practical Guide to Reinforcement Learning from Human Feedback (RLHF)" 𝗔𝗺𝗮𝘇𝗼𝗻 𝘀𝘂𝗺𝗺𝗮𝗿𝘆: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -

New Siri will replace small Google searches for hotkeys
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New Siri is going to eat up so many of the small Google searches. All of the “how do i…” “whats the hotkey for…” Just works.
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Agent memory becomes data management system for LLMs
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// Agent memory is a data system now // Great paper on long-term memory for LLM agents. (bookmark it) Agent memory has grown from simple retrieval into a full data-management layer with storage, retrieval, update, consolidation, and lifecycle governance. Yet most evaluations
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AI reduces instinct in decisions, human responsibility remains
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AI enters decision flows once guided by judgment, shrinking the space for instinct. Teams must question results because responsibility remains human, gradually reshaping how trust forms within
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Determine Your AI’s Adaptive Governance Style
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Which of the four adaptive governance styles does your current AI program actually operate in?
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Agentic AI maturity moves from centralized to federated control
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Organizations do not pick one style permanently. They move through them as agentic AI maturity increases, starting with centralized control for initial deployments and gradually federating as processes stabilize.
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Early benchmark results show closed source AI models leading
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This is a sad day for the AI community… I'm working on a benchmark we will soon release… and these are early results gathering pretty much all models out there, closed and opened. Red = closed source models
y axis = Elo score
x axis = release date
size = task cost … and -
Remembering when natural language computer interaction was impossible
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It's hard to remember now, but there was a time when people couldn't talk to their computers in natural language.
