Abusing the Harvard Architecture in Nand2Tetris Assembly
ashdnazg.github.io·17h·
Discuss: Hacker News
🦀Rust
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Guidance pls:)
reddit.com·4h·
Discuss: r/embedded
🤖LLM
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Slicing your work with BDD or another aspect of speed increase with small Pull Requests.
andremoniy.medium.com·3h·
Discuss: r/programming
🦀Rust
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Prompts that work for beginners (small, clear, and testable)
dev.to·4d·
Discuss: DEV
🤖LLM
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Book review: “Build a DeepSeek Model (From Scratch)”
dev.to·1d·
Discuss: DEV
🤖LLM
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Context Engineering 2.0: The Context of Context Engineering
arxiviq.substack.com·2d·
Discuss: Substack
🤖LLM
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What we learned running the industry’s first AI code review benchmark
devinterrupted.substack.com·1d·
Discuss: r/programming
🦀Rust
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The Production Generative AI Stack: Architecture and Components
thenewstack.io·2d
🤖LLM
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The Complexity Cliff: Why Reasoning Models Work Right Up Until They Don't
rewire.it·3d·
Discuss: Hacker News
🤖LLM
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Joy & Curiosity #61
registerspill.thorstenball.com·4h
👶Parenting
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Unlocking Out-of-Distribution Generalization in Transformers via RecursiveLatent Space Reasoning
paperium.net·21h·
Discuss: DEV
🤖LLM
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Prompt engineering vs. prompt design: The UX perspective on AI personality
blog.logrocket.com·3d
👶Parenting
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On Pretraining for Project-Level Code Completion
paperium.net·1d·
Discuss: DEV
🤖LLM
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Cut AI Costs Without Losing Capability: The Rise of Small LLMs
dev.to·1d·
Discuss: DEV
🤖LLM
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Mirror Speculative Decoding: Breaking the Serial Barrier in LLM Inference
dev.to·18h·
Discuss: DEV
🤖LLM
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PromptCurator
dev.to·5h·
Discuss: DEV
👶Parenting
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How to Get Started on Building Gen AI Applications
dev.to·48m·
Discuss: DEV
🤖LLM
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ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond SemanticDependency Constraints
paperium.net·2d·
Discuss: DEV
🦀Rust
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