model-agnostic

This paper introduces Event Signature Transfer (EST), a training-free, model-agnostic operator that constructs forecast scenarios by transferring event signatures from historical events onto time-series forecasts.

CoRe proposes a model-agnostic learning objective for multivariate time-series forecasting that uses frequency coherence and relational graph losses to improve prediction accuracy over standard methods.

The tweet highlights the importance of multi-model AI and announces that v0 is now model-agnostic, allowing users to select from various AI models via Vercel's AI Gateway for app development.

fx is an open-source, model-agnostic coding agent tool that allows orchestration of subagents with different models and reasoning efforts, written in Zig for performance and embeddability.

Gumball is introduced as a model-agnostic, proactive, and self-improving system available in private clouds.

A user describes their model-agnostic software factory setup using agents.md and five skills.

ProgramBench is a benchmark for agents to reproduce real software behavior from scratch. Factory is announced as the most advanced reverse-engineering system with breakthroughs in model-agnostic long-horizon agents.

NVExplain introduces a model-agnostic framework for explaining time series forecasting by analyzing latent trajectories and semantic flow, using structure-preserving surrogates to generate human-readable explanations with competitive faithfulness and stability.

Introducing Skydive by Anything, an omnichannel, cloud-native, and model-agnostic platform that enables AI teammates to operate seamlessly across channels like Slack, email, iMessage, and CLI.

Turnstone is an AI workspace that integrates apps and local folders to create a personalized second brain, enabling shared agents to work on tasks while keeping data local and running on user-provided models.

Coder Agents is a platform for running AI coding agents on enterprise-controlled infrastructure, offering centralized governance, model flexibility, and auditing capabilities.

Benzi is a coding agent that queries codebases to understand and write code, achieving 77.4% on SWE-bench Verified for under $30, and is model agnostic.

This paper introduces RAEF, a model-agnostic retrieval-augmented method for time series forecasting that improves accuracy and reduces computational overhead compared to fine-tuning approaches.

This paper proposes BREAD, a scalable baseline-referenced explanation method for diagnosing anomalies in AI-based statistical process monitoring, with theoretical guarantees showing higher faithfulness than LIME under mean-shift anomalies.

PILA reformulates LLM-native advertising as a conditional response rewriting problem, decoupling ad insertion from upstream generation via a lightweight, model-agnostic sidecar module that preserves response quality while enabling controllable ad exposure.

RIS-Kernel introduces a model-agnostic sparse attention architecture (RIS) that reduces self-attention complexity from O(N^2) to O(N log N) for long-context LLM inference, enabling operation on commodity CPU hardware without GPU acceleration.

LangChain shares analysis by FactoryAI CTO Eno Reyes on how the same code review task has wildly different prices depending on the harness used, arguing a good model-agnostic harness can improve any model.

Y Combinator interviews Dust founder Stanislas Polu about building AI teammates for the workplace, the strategy of staying model agnostic, and the challenges of building alongside rapidly advancing frontier AI labs.

This paper introduces FALCON-Discover, a post-hoc framework for discovering regions where model predictions are confidently wrong, shifting calibration focus from aggregate metrics to sample-level dangerous failures.

NVIDIA Object-Oriented Agents (NOOA) proposes a Python framework where agents are Python objects, with methods as actions and docstrings as prompts, enabling reliable, testable AI agents using familiar programming paradigms.