How a Billion-Parameter Time Series Model Beats GPT4TS: The PCTLM Breakthrough

This article introduces PCTLM, a pioneering billion‑parameter pure time‑series large model that outperforms existing solutions like GPT4TS across multiple benchmarks, detailing its massive high‑quality dataset, novel patch‑based architecture, and a tailored RLHF framework (TPO) that enhances zero‑shot forecasting accuracy.

Big DataPCTLMRLHF

0 likes · 11 min read

How a Billion-Parameter Time Series Model Beats GPT4TS: The PCTLM Breakthrough

JD Tech Talk

Apr 11, 2025 · Artificial Intelligence

A Billion-Scale Pure Time Series Large Model: PCTLM with SFT and TPO for Forecasting

This article presents a pioneering billion‑parameter pure time‑series large model (PCTLM) trained on a 1.5‑billion‑sample dataset, introduces a novel RLHF framework (TPO) for time‑series forecasting, and demonstrates state‑of‑the‑art performance across multiple public benchmarks, surpassing existing models such as GPT4TS.

PCTLMRLHFTPO

0 likes · 11 min read

A Billion-Scale Pure Time Series Large Model: PCTLM with SFT and TPO for Forecasting

JD Retail Technology

Apr 10, 2025 · Artificial Intelligence

How JD’s TimeHF Billion‑Scale Time‑Series Model Boosts Forecast Accuracy with RLHF

JD’s supply‑chain algorithm team introduces TimeHF, a billion‑scale time‑series large model that leverages RLHF to improve demand forecasting accuracy by over 10%, detailing dataset creation, the PCTLM architecture, a custom RL framework (TPO), and superior benchmark results.

AILarge Language ModelsPCTLM

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How JD’s TimeHF Billion‑Scale Time‑Series Model Boosts Forecast Accuracy with RLHF