<?xml version="1.0" encoding="UTF-8"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:news="http://www.google.com/schemas/sitemap-news/0.9" xmlns:xhtml="http://www.w3.org/1999/xhtml" xmlns:image="http://www.google.com/schemas/sitemap-image/1.1" xmlns:video="http://www.google.com/schemas/sitemap-video/1.1"><url><loc>https://longformexplainers.com/</loc></url><url><loc>https://longformexplainers.com/account/</loc></url><url><loc>https://longformexplainers.com/glossary/</loc></url><url><loc>https://longformexplainers.com/llm-inference/</loc></url><url><loc>https://longformexplainers.com/llm-inference/01-what-is-an-llm/</loc></url><url><loc>https://longformexplainers.com/llm-inference/02-tokens/</loc></url><url><loc>https://longformexplainers.com/llm-inference/03-embeddings/</loc></url><url><loc>https://longformexplainers.com/llm-inference/04-attention/</loc></url><url><loc>https://longformexplainers.com/llm-inference/05-multi-head/</loc></url><url><loc>https://longformexplainers.com/llm-inference/06-positional-encoding/</loc></url><url><loc>https://longformexplainers.com/llm-inference/07-mlp/</loc></url><url><loc>https://longformexplainers.com/llm-inference/08-transformer-block/</loc></url><url><loc>https://longformexplainers.com/llm-inference/09-full-model/</loc></url><url><loc>https://longformexplainers.com/llm-inference/10-sampling/</loc></url><url><loc>https://longformexplainers.com/llm-inference/11-prefill-decode/</loc></url><url><loc>https://longformexplainers.com/llm-inference/12-kv-cache/</loc></url><url><loc>https://longformexplainers.com/llm-inference/13-memory-hierarchy/</loc></url><url><loc>https://longformexplainers.com/llm-inference/14-continuous-batching/</loc></url><url><loc>https://longformexplainers.com/llm-inference/15-paged-attention/</loc></url><url><loc>https://longformexplainers.com/llm-inference/16-prefix-caching/</loc></url><url><loc>https://longformexplainers.com/llm-inference/17-chunked-prefill/</loc></url><url><loc>https://longformexplainers.com/llm-inference/18-speculative-decoding/</loc></url><url><loc>https://longformexplainers.com/llm-inference/19-parallelism/</loc></url><url><loc>https://longformexplainers.com/llm-inference/20-throughput-vs-latency/</loc></url><url><loc>https://longformexplainers.com/llm-inference/21-recap/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/01-what-is-post-training/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/02-probability-and-policies/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/03-from-next-token-to-behavior/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/04-the-alignment-problem/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/05-instruction-tuning/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/06-sft-in-practice/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/07-synthetic-and-self-generated/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/08-learning-from-preferences/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/09-optimizing-against-the-reward/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/10-rlhf-scales-to-language/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/11-reward-models/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/12-rlaif-constitutional/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/13-policy-gradients-reinforce/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/14-value-advantage-baselines/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/15-trpo-to-ppo/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/16-ppo-for-rlhf/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/17-reward-hacking/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/18-dpo/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/19-the-dpo-zoo/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/20-rejection-sampling-alignment/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/21-bootstrapping-reasoning/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/22-process-vs-outcome-rewards/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/23-inference-scaling-o1/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/24-rl-from-verifiable-rewards/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/25-grpo-and-deepseek-r1/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/26-grpo-refinements/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/27-scaling-open-post-training/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/28-agentic-and-tool-use-rl/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/29-on-policy-distillation/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/30-rl-scaling-laws/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/31-generative-reward-models/</loc></url><url><loc>https://longformexplainers.com/llm-post-training/32-recap/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/01-what-is-pretraining/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/02-next-token-objective/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/03-gradient-descent-backprop/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/04-optimizers-and-schedules/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/05-precision-and-numerics/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/06-compute-and-memory/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/07-parallelism/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/08-data-pipeline/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/09-attention-transformer/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/10-gpt1-generative-pretraining/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/11-bert-masked-lm/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/12-gpt2-scale-zeroshot/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/13-t5-text-to-text/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/14-scaling-laws-kaplan/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/15-gpt3-few-shot/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/16-chinchilla-compute-optimal/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/17-llama3/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/18-deepseek-v3/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/19-qwen25/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/20-gemma2/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/21-synthetic-data/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/22-gemma3/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/23-training-methods-survey/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/24-kimi-k2-5/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/25-qwen3-coder-next/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/26-deepseek-v4/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/27-qwen35-omni/</loc></url><url><loc>https://longformexplainers.com/llm-pretraining/28-recap/</loc></url><url><loc>https://longformexplainers.com/login/</loc></url><url><loc>https://longformexplainers.com/signup/</loc></url></urlset>