Custom Code in a Sandbox? RLM and WASM

Custom Code in a Sandbox? RLM and WASM

What if your language model could write custom analysis code on the fly? RLM with WebAssembly makes this possible.

This video demonstrates RLM's two-level architecture for log analysis:

Level 1 (DSL): Built-in commands for simple text operations - find, regex, count. No code generation, just instant pattern matching.

Level 2 (WebAssembly): For complex analysis, RLM's coder model writes Rust code that compiles to WebAssembly and runs in a secure sandbox. Map-reduce handles aggregation and statistics on large datasets.

Demos included:
L1 DSL: Count ERROR lines in logs
L2 WASM CLI: Error ranking, percentiles, unique IPs
L2 WASM Web UI: Unique IP counting, error type ranking, HTTP status codes, response time percentiles

WebAssembly enables safe, sandboxed execution with some trade-offs: ASCII only (no unicode), 64MB memory limit, and a subset of Rust.

More capability levels coming soon - Level 3 (native Rust CLI) and Level 4 (recursive LLM calls).

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Chapters:
0:00 - Intro
0:05 - Hook
0:22 - Level 1 DSL Overview
0:40 - L1 Visualization Demo
1:27 - Level 2 WebAssembly Overview
1:47 - L2 CLI Demo: Error Ranking
2:32 - L2 CLI Demo: Percentiles
3:17 - L2 CLI Demo: Unique IPs
4:02 - L2 Web UI Demo: Unique IPs
5:02 - L2 Web UI Demo: Error Ranking
5:39 - L2 Web UI Demo: Status Codes
6:14 - L2 Web UI Demo: Percentiles
6:52 - WebAssembly Limitations
7:04 - Future Levels
7:19 - Call to Action
7:31 - Outro

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#RLM #WebAssembly #WASM #LLM #LogAnalysis #Rust #AI #MachineLearning #CodeGeneration