Unverified60% confidenceFactExact time
Poolside's core strategy is to train large language models from scratch that are optimized specifically for software engineering tasks, rather than fine-tuning general-purpose models.
2
Sources
60%
Confidence
Long-term
Relevance
8/6/2026
First Seen
Sources
Poolside Desktop Assistant发布：解耦模型与界面的AI编程新范式
Related Claims
Unverified大模型的工程落地分为训练和推理两个核心环节72% similarUnverified针对代码任务专项强化训练的模型在系统操作场景中表现显著优于通用对话模型69% similarUnverifiedSlideLab relies on the general capabilities of pre-trained large language models and completes tasks through prompts and a multi-agent collaboration structure, requiring no additional training steps.69% similarUnverifiedAchieving a significant improvement in programming capabilities through post-training on the same base model provides a new model iteration approach for teams with limited computing resources.69% similarUnverifiedThe vast majority of large model application developers do not need to train models, but instead mobilize model capabilities by designing prompts.68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/694828API
curl https://kongchang.com/api/v1/knowledge/claims/694828MCP
get_claim(id=694828)