[ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
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Updated
Jun 1, 2024 - Python
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context-window
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A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Efficiency | Static analysis for AI | Large Language Model tooling #LLM #AI #Python #CodeAnalysis #ContextWindow #DeveloperTools
python open-source machine-learning numpy dependency-analysis decorators knowledge-graph developer-tools code-visualization code-documentation large-language-models llm token-reduction context-window context-management llm-integration codebase-analysis architecture-insights module-relationships dependency-mapping
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Dec 5, 2024 - Python
A lightweight tool to optimize your C# project for LLM context windows by using a knowledge graph | Code structure visualization | Static analysis for AI | Large Language Model tooling | .NET ecosystem support #LLM #AI #CSharp #DotNet #CodeAnalysis #ContextWindow #DeveloperTools
python open-source machine-learning csharp dotnet dependency-analysis knowledge-graph developer-tools code-visualization code-documentation large-language-models llm token-reduction context-window context-management llm-integration codebase-analysis architecture-insights module-relationships dependency-mapping
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Dec 3, 2024 - Python
A discovery and compression tool for your Java codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project #LLM #AI #Java #CodeAnalysis #ContextWindow #DeveloperTools #StaticAnalysis #CodeVisualization
python open-source machine-learning spring dependency-analysis knowledge-graph developer-tools code-visualization code-documentation python-frameworks large-language-models llm token-reduction context-window context-management llm-integration codebase-analysis architecture-insights module-relationships dependency-mapping
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Dec 4, 2024 - Python
Tezeta is a Python package designed to optimize memory in chatbots and Language Model (LLM) requests using relevance-based vector embeddings. This, in essence, provides support for using much longer conversations and text requests than supported by the context window.
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Updated
Aug 10, 2023 - Python
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