newsReddit r/MachineLearningTrust 72 · CommunityPublished 1mo agoLive · 1mo ago
Would having a dedicated programming language specifically for LLMs be a viable solution? [D]
What if there was a new programming language where the meaning of each token was so dense (or perhaps so specific) that an LLM could write robust code with fewer tokens and faster inference? Assuming there’s enough training data, do you think something like this allow an LLM to write better code faster? Rationale: 1) It would allow for faster inference. Fewer tokens required to do the same thing in Python = finish faster. 2) It would
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownEvaluate a model properly →
- LinkedLinked via unknownFrom Tokens to States: LLMs as a Special Case of World Models and the Continuous Path Beyond →
- LinkedLinked via unknownMessage Passing Enables Efficient Reasoning →
- PossiblePossibly related (embedding) · 59%aallan/vera →
- PossiblePossibly related (embedding) · 49%Apil-Shrestha/token-efficiency-lex →
- PossiblePossibly related (embedding) · 49%teilomillet/retrain →
- PossiblePossibly related (embedding) · 55%jordanhubbard/nanolang →
- PossiblePossibly related (embedding) · 48%algorithmicsuperintelligence/optillm →
Covers
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paperFrom Tokens to States: LLMs as a Special Case of World Models and the Continuous Path BeyondpaperMessage Passing Enables Efficient Reasoningrepoaallan/verarepoApil-Shrestha/token-efficiency-lexrepoteilomillet/retrainrepojordanhubbard/nanolangrepoalgorithmicsuperintelligence/optillmrepoModelTC/LightLLMrepoguoqingbao/xinferrepopythongiant/KVBoostrepoEamon2009/Quadtrix.cpprepopleasedodisturb/awesome-llm-token-optimizationpaperPrompting Complexity: Shortest Prompts for Texts and Behaviors in LLMsrepoericmjl/llamabotpaperSigLIP-HD by Fine-to-Coarse Supervisionrepoedouard-claude/sniprepopzqpzq/LSF_MDia
Related across the graph
repopleasedodisturb/awesome-llm-token-optimizationrepoedouard-claude/sniprepoteilomillet/retrainrepoericmjl/llamabotpaperMessage Passing Enables Efficient ReasoningpaperPrompting Complexity: Shortest Prompts for Texts and Behaviors in LLMspaperSigLIP-HD by Fine-to-Coarse SupervisionrepoApil-Shrestha/token-efficiency-lexrepoalgorithmicsuperintelligence/optillmrepoModelTC/LightLLMrepoEamon2009/Quadtrix.cpprepoguoqingbao/xinfertutorialEvaluate a model properlyrepopzqpzq/LSF_MDiarepojordanhubbard/nanolangpaperFrom Tokens to States: LLMs as a Special Case of World Models and the Continuous Path Beyondrepopythongiant/KVBoostrepoaallan/vera
