<?xml version='1.0' encoding='utf-8'?>
<rss version="2.0"><channel><title>GLM Handbook</title><link>https://glmhandbook.dev/</link><description>Open models, APIs and inference.</description><language>en</language><item><title>Fast tokens. Slow answers.</title><link>https://glmhandbook.dev/articles/llm-latency-tokens-per-second/</link><guid>https://glmhandbook.dev/articles/llm-latency-tokens-per-second/</guid><description>Understand time to first token, decode speed, p95 latency and useful-task throughput before comparing LLM inference benchmarks.</description><pubDate>Wed, 04 Nov 2026 16:00:00 GMT</pubDate><category>Inference</category></item><item><title>Best abliterated LLM APIs</title><link>https://glmhandbook.dev/articles/best-abliterated-llm-apis/</link><guid>https://glmhandbook.dev/articles/best-abliterated-llm-apis/</guid><description>Choose an abliterated LLM API by model access, cost and evidence. A practical guide to Uncensured AI, GPU rental and self-hosting.</description><pubDate>Wed, 04 Nov 2026 16:00:00 GMT</pubDate><category>APIs</category></item><item><title>Make the model fit.</title><link>https://glmhandbook.dev/articles/llm-quantization-memory-guide/</link><guid>https://glmhandbook.dev/articles/llm-quantization-memory-guide/</guid><description>Estimate LLM weight memory, understand 4-bit tradeoffs and leave room for the KV cache before choosing a local model.</description><pubDate>Wed, 04 Nov 2026 16:00:00 GMT</pubDate><category>Models</category></item><item><title>Abliterated LLMs, via API</title><link>https://glmhandbook.dev/articles/abliterated-llm-api-without-gpu/</link><guid>https://glmhandbook.dev/articles/abliterated-llm-api-without-gpu/</guid><description>Connect to abliterated GLM and DeepSeek models without expensive hardware. Uncensured AI setup, Python example, model IDs and practical checks.</description><pubDate>Wed, 04 Nov 2026 16:00:00 GMT</pubDate><category>Guides</category></item><item><title>What abliteration changes</title><link>https://glmhandbook.dev/articles/abliteration-vs-fine-tuning/</link><guid>https://glmhandbook.dev/articles/abliteration-vs-fine-tuning/</guid><description>A clear explanation of abliterated LLMs, refusal directions, fine-tuning and the evaluation needed to separate compliance from capability.</description><pubDate>Wed, 04 Nov 2026 16:00:00 GMT</pubDate><category>Models</category></item><item><title>Compatible, up to a point</title><link>https://glmhandbook.dev/articles/openai-compatible-api-checklist/</link><guid>https://glmhandbook.dev/articles/openai-compatible-api-checklist/</guid><description>Test Chat Completions compatibility, streaming, tool calls, JSON, errors and versioning before swapping an LLM endpoint into production.</description><pubDate>Wed, 04 Nov 2026 16:00:00 GMT</pubDate><category>APIs</category></item><item><title>A big context can forget.</title><link>https://glmhandbook.dev/articles/long-context-is-not-memory/</link><guid>https://glmhandbook.dev/articles/long-context-is-not-memory/</guid><description>Build better long-context LLM workflows with retrieval, evidence placement, compact state and tests that catch missed facts.</description><pubDate>Wed, 04 Nov 2026 16:00:00 GMT</pubDate><category>Guides</category></item><item><title>Do the inference maths.</title><link>https://glmhandbook.dev/articles/api-vs-local-inference-cost/</link><guid>https://glmhandbook.dev/articles/api-vs-local-inference-cost/</guid><description>Compare token-based API costs with local or rented inference using an interactive calculator and explicit workload assumptions.</description><pubDate>Wed, 04 Nov 2026 16:00:00 GMT</pubDate><category>Inference</category></item><item><title>Test the work, not the vibe.</title><link>https://glmhandbook.dev/articles/llm-evaluation-that-catches-regressions/</link><guid>https://glmhandbook.dev/articles/llm-evaluation-that-catches-regressions/</guid><description>Create a compact LLM evaluation suite with real tasks, explicit scoring, held-out prompts and reproducible model comparisons.</description><pubDate>Wed, 04 Nov 2026 16:00:00 GMT</pubDate><category>Guides</category></item></channel></rss>