(ICLR 2026) Optimas: Optimizing Compound AI Systems
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Updated
Feb 6, 2026 - Python
(ICLR 2026) Optimas: Optimizing Compound AI Systems
Compound AI toolchain for fast and accurate entity matching, powered by LLMs.
Code for the paper "Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching" (COLING 2025)
Get quick insights from your Data Sources in tables, charts and graphs with with AI-driven audits and optimize your SQL databases.
Generate accurate and efficient dataflow to streamline software and data integration.
skills to work with opinionated uberblick product development flow.
Libem sample datasets.
The landscape of machine learning (ML) is constantly evolving with new techniques, tools, and frameworks emerging at a rapid pace.
Compound AI System for Journals – Automation API (AI Agent) A FastAPI-based automation system for creating, enriching, and managing journal articles. It integrates Google Gemini, Groq’s LLaMA, and the CORE API to deliver a seamless pipeline — from metadata input to fully structured, AI-generated journal outputs.
A curated list of DSPy resources, libraries, tools, and examples.
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