DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
DeepAnalyze is the first agentic LLM for autonomous data science, supporting:
🛠 Data preparation, analysis, modeling, visualization, and insight.
🔍 Data research and produce research reports.
https://github.com/ruc-datalab/DeepAnalyze
DeepAnalyze is the first agentic LLM for autonomous data science, supporting:
🛠 Data preparation, analysis, modeling, visualization, and insight.
🔍 Data research and produce research reports.
https://github.com/ruc-datalab/DeepAnalyze
GitHub
GitHub - ruc-datalab/DeepAnalyze: DeepAnalyze is the first agentic LLM for autonomous data science.
DeepAnalyze is the first agentic LLM for autonomous data science. - ruc-datalab/DeepAnalyze
Recursive Language Models
Recursive Language Models (RLMs) let language models recursively call themselves within an environment, like a Python REPL, to handle extremely long contexts without performance drop (context rot). They dynamically break down queries into smaller parts, delivering strong, cost-efficient results on big benchmarks and enabling scalable, interpretable reasoning beyond fixed context limits.
https://alexzhang13.github.io/blog/2025/rlm/
Recursive Language Models (RLMs) let language models recursively call themselves within an environment, like a Python REPL, to handle extremely long contexts without performance drop (context rot). They dynamically break down queries into smaller parts, delivering strong, cost-efficient results on big benchmarks and enabling scalable, interpretable reasoning beyond fixed context limits.
https://alexzhang13.github.io/blog/2025/rlm/
Alex L. Zhang
Recursive Language Models
We propose Recursive Language Models (RLMs), an inference strategy where language models can decompose and recursively interact with input context of unbounded length through REPL environments.
Introducing PyTorch Monarch
PyTorch Monarch is a distributed programming framework designed to simplify scaling AI workflows by enabling a single-controller model that orchestrates distributed resources like a single machine. It provides actor-based programming with scalable messaging, fault tolerance, and distributed tensor support, allowing seamless development, debugging, and efficient handling of large-scale tr...
https://pytorch.org/blog/introducing-pytorch-monarch/
PyTorch Monarch is a distributed programming framework designed to simplify scaling AI workflows by enabling a single-controller model that orchestrates distributed resources like a single machine. It provides actor-based programming with scalable messaging, fault tolerance, and distributed tensor support, allowing seamless development, debugging, and efficient handling of large-scale tr...
https://pytorch.org/blog/introducing-pytorch-monarch/