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Model Training

293 summarised stories about Model Training, each linking back to the original source. Browse all topics →

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Friday, 14 August 2026

GLM-5.3 didn’t change the base model — where did its coding gains come from?

The New Stack 2 months ago 51 ● 3 sources

Z.ai released GLM-5.3, a coding and agent model built on the same base model as GLM-5.2, with gains attributed mainly to expanded post-training. It reported a jump from 4.6 to 28.3 on Terminal-Bench 3.0. The model is now usable via Z.ai’s Coding Plan and will deliver weights after a two-week hardening and safety period, changing how developers can validate performance locally and run A/B tests.

Apple trained its own AI model for China with help from Alibaba

The Verge 2 months ago 1 ● 2 sources

Apple trained a China-focused AI model with help from Alibaba, according to Reuters sources. The model is described as a large language model trained with Alibaba’s support. Apple’s approach would shift from its prior strategy in China, giving it more control as it competes in the Chinese smartphone market.

Create a Reasoning-Focused LLM: A Practical Guide to Streaming, Curating, and Fine-Tuning the SupraLabs Reasoning Corpus

MarkTechPost 2 months ago 38

The tutorial streams the SupraLabs reasoning-corpus subset from the Hugging Face Hub, analyzes it, filters out examples using token-length, degeneracy, repetition, and reasoning-ratio rules, then converts the result into a chat format with <think> tags for supervised fine-tuning. It trains SmolLM2-135M-Instruct with LoRA (r=16) using 1,500 training samples and evaluates on 100 examples. As a result, it produces a compact reasoning-focused fine-tuned model and exports the curated train/eval subsets to Parquet for reuse in later experiments.

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