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AUTOMATION
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MLR-Copilot: Autonomous Machine Learning Research with LLM Agents
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MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents https://
github.com/du-nlp-lab/MLR
-Copilot
… https://
arxiv.org/pdf/2408.14033 -
Single Agent Systems Easier to Deploy Production
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I too find single agent based systems much easier to reason about, tune, and deploy. As context windows get longer, seems like a better way to get things into production.
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LLM-Weighted Function Selection for Advanced AI Systems
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Log every function call, store success/error, rate result with LLM, use that to add weights to functions, use weights when calling functions. Advanced methods might include embedding user input and somehow calculate a weight specific to the embedding (is this the right tool for
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User Interaction Drives AI Self-Improvement and Data Generation
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Thanks! Yeah I think building in user interaction can generate helpful data to continue self-building better and better.
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Auto-installing imports without user consent raises safety concerns
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That would be smart, but my current system goes as far as auto installing imports without user consent…. no user feedback is baked in
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API Key Management and Automated Access Request System
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1. In my current system I track which functions require what api keys (or secrets), which gets loaded into the environment. Since we know when an api key is required, we could set up a user request feature to ask for help, or give it an email,$, and multi-on access to grab an API
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Level 3 Self-Build Agent Prototype with Query Processing
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Now it's far working well (as you can see from the errors…), but here's the output of a prototype self-build agent (lvl 3): – User description as input – Generate queries – Process query – Generates and stores multiple reusable functions for that query excited to share
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Anticipatory AI System with Autonomous Function Generation
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Level 3: Anticipatory A system that generates synthetic queries based on its understanding of the user, where each query is fed into the system 2 need-based system – which generates required functions as necessary. The result is a system that can autonomously generate functions
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AI-Powered Function Generation: Request-Based Tool Creation
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Level 1: Request-based Users can request to have functions generated by an AI, and when they query the system, the new function is available as an option for the AI to use. *There's lots that goes into this "Create Function Tool", but let's keep the chart simple (eg.