Priorstack: practical guides for LLM agents, inference and training
Troubleshooting guides and research explainers for developers building with large language models. Each article starts from a real error or question and links the official documentation, papers and GitHub issues it is based on.
Start with a topic
- LLM Agent Guides: LangChain, LangGraph & AI Tooling
- LLM Inference & Serving Guides: vLLM, Ollama & Hugging Face
- LLM Training & Architecture Guides: Fine-Tuning, RL & New Models
Latest articles
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Muon Optimizer: Scaling Matrix Orthogonalization for Efficient Deep Learning Training
Discover how the Muon optimizer leverages Newton-Schulz matrix orthogonalization and spectral norm steepest descent to accelerate deep learning training.
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Fixing Quality Degradation When Merging 4-Bit QLoRA Adapters in PEFT
Prevent quality loss when merging 4-bit QLoRA adapters with merge_and_unload in PEFT. Learn the exact 16-bit reloading workflow to avoid rounding errors.
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Byte Latent Transformer: Replacing Tokenizers with Dynamic Entropy-Based Patching
Discover the Byte Latent Transformer (BLT), a tokenizer-free architecture that replaces subword tokenization with dynamic entropy-based byte patching.
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Resolving Pydantic State Deserialization Failures in LangGraph Checkpointers
Learn how to diagnose and fix Pydantic state deserialization failures in LangGraph checkpointers, from msgpack allowlists to schema drift and import issues.
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Titans: Learning to Memorize at Test Time with Neural Long-Term Memory
Explore Titans, a dual-memory architecture combining attention and neural long-term memory to scale past 2M tokens with high accuracy and fast inference.
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Resolving SQLite Database Lock Errors in ChromaDB During Concurrent Writes
Fix SQLITE_BUSY database lock errors in ChromaDB. Learn how batch sizes, busy_timeout settings, and client-server mode resolve concurrent write locks.
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Group Relative Policy Optimization for Efficient Reinforcement Learning in Language Models
Learn how Group Relative Policy Optimization (GRPO) cuts VRAM usage by removing the Critic Model in LLM reinforcement learning for better efficiency.
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Fixing Cannot Copy Out of Meta Tensor Errors in Hugging Face Transformers
Resolve the ‘Cannot copy out of meta tensor’ error in Hugging Face Transformers. Learn why device_map=’auto’ causes meta tensor issues and how to fix it.
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SimPO: Reference-Free Preference Optimization for Large Language Models
Discover SimPO, a reference-free preference optimization method for LLMs that eliminates reference models, reduces memory usage, and outperforms DPO.
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Fixing High CPU Spikes and Freezes During Large Codebase Indexing in Cursor
Fix high CPU spikes and freezes during Cursor codebase indexing by configuring ignore files, reducing ripgrep scope, and optimizing background workspace tasks.