#preference optimization
623 related articles
Tutorials·3 min
Deep Dive into MYLLM: One Developer's Journey Through the Full LLM Tech Stack with a 0.5B Model
Deep dive into MYLLM, an open-source project using Qwen2.5-0.5B to cover full-stack LLM techniques including training, LoRA, SFT, distillation, RLHF, multimodal, and Agent.
Read more →
Deep Dives·2 min
awesome-LLM-resources: A Comprehensive LLM Collection with 8000+ Stars, Covering Multimodal, Agent, MCP, and 11 Major Domains
Deep dive into awesome-LLM-resources, a GitHub repo with 8200+ Stars covering multimodal generation, AI Agents, MCP, o1 models, small language models, and more.
Read more →
Product Reviews·2 min
Codex Latest Version Feature Breakdown: How Good Are Pet Mode, Imported Agent Configs, and Computer Use Upgrades?
Deep dive into Codex's May 2025 update: pet components, 20% Computer Use boost, Cursor Agent config import, sidebar branch conversations, memory optimization, and more.
Read more →