Baseten Engineering Blog Research Articles List: GLM-5 Inference Optimization and Legal Agent Training
The Baseten Engineering Blog research section features several articles, including "How we built the fastest GLM-5 on Artificial Analysis," post-training frontier legal agents in collaboration with Harvey, dark-free distillation, BYO SWE-grep automatic training of search sub-agents (Part 1), Lumina customer-in-the-loop self-improving evaluation, attention-based attribution, and robust sample-efficient SFT with prompt mutation. Popular models listed on the page include DeepSeek V4.1 Flash, GLM-5.3 Fast, GLM-5.3, GLM-5.3-Flash, Kimi K3, and Whisper Large V3.
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How we built the fastest GLM-5 on Artificial Analysis
Post-training frontier legal agents with Harvey
Distillation without the dark
If we can't design neat latent structures, then maybe we can Bitter Lesson it through self-study
BYO SWE-grep: automatically train blazing fast search sub-agents on your knowledge base (Pt. 1)
Lumina: building self-improving evaluation through customer-in-the-loop refinement
Attention-based attribution: what your model is actually looking at
Robust, sample efficient SFT with prompt mutations
Popular models
DeepSeek V4.1 Flash; GLM-5.3 Fast; GLM-5.3; GLM-5.3-Flash; Kimi K3; Whisper Large V3; Explore all
Popular models
DeepSeek V4.1 Flash; GLM-5.3 Fast; GLM-5.3; GLM-5.3-Flash; Kimi K3; Whisper Large V3; Explore all