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6 articles
Learn how to set up and experiment with legal AI models like Harvey Tenet, understanding post-training concepts and creating a basic legal query processor using Python and transformers.
Learn how Z.ai improved their AI model GLM-5.3 without rebuilding it from scratch, by giving it more targeted training. Understand the concept of scaled post-training and its impact on AI performance.
This article explains the technical advancements in SpaceXAI's Grok 4.6, focusing on its 500K token context window, xhigh reasoning level, and post-training optimization techniques.
AllenAI's Open Instruct framework offers a comprehensive post-training pipeline for LLMs using SFT, DPO, and GRPO, optimized for 16GB hardware.
This article explains how DeepSeek enhanced its DeepSeek-V4-Flash-0731 model through re-post-training, demonstrating how targeted fine-tuning can significantly improve AI capabilities in agentic reasoning and coding without changing the base architecture.
Learn how to improve large language models using post-training techniques like Supervised Fine-Tuning, Reward Modeling, DPO, and GRPO with the TRL library.
