Results for “clmm”
14 skillsMore results
dclm-datacomp-for-language-models-arxiv-2406-11794v3
DCLM: DataComp for Language Models
6
convert-to-cpm
Migrate .NET projects from per-project package versioning to NuGet Central Package Management (CPM) using Directory.Packages.props, with baseline build capture, version conflict resolution, and post-conversion validation.
4k · bundle
ai-md
Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.
16
laclip-improving-clip-training-with-language-rewrites-arxiv-
LaCLIP: Improving CLIP Training with Language Rewrites
6
mcp-builder
Guides the creation of MCP servers that enable LLMs to interact with external services through well-designed tools.
42.4k · bundle
ai-md
Convert human-written CLAUDE.md files into a structured label format that AI models follow more reliably using fewer tokens.
42.4k
ai-md
Converts human-written CLAUDE.md files into a structured-label format that AI models follow more reliably while using fewer tokens.
5
caveman-compress
Compress natural language memory files (CLAUDE.md, todos, preferences) into a concise format to save input tokens while preserving technical substance, code, URLs, and structure.
· bundle
ai-md
Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.
2
ai-md
Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.
2
rlm
Executes Python code iteratively via an MCP bridge to produce verified results for calculations, data analysis, and task decomposition.
10 · bundle
ai-md
Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.
45.1k
rlm
Executes Python code iteratively via an MCP bridge to produce verified results for calculations, data analysis, and task decomposition.
1 · bundle