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<a href=/ai/ai_algorithms/vision/2024/09/25/vllm-survey.html title=AI> 【AI】VLLM Survey </a>

<a href=/ai/ai_algorithms/vision/2024/08/26/mm-evol.html title=AI> 【AI】MiniCPM-V：端侧图像大模型 </a>

<a href=/ai/ai_algorithms/vision/2024/08/26/ai-solutions.html title=AI> 【AI】大模型训练方法汇总 </a>

<a href=/ai/ai_algorithms/vision/2024/08/26/minicpm.html title=AI> 【AI】MiniCPM-V：端侧图像大模型 </a>

<a href=/ai/ai_algorithms/vision/2024/08/24/umt.html title=AI> 【AI】UMT - Video foundation model建模 </a>

<a href=/ai_concepts/ai_inference/ai/ai_algorithms/2024/08/21/speculative-decoding.html title=AI> 【AI】No free launch：Guided Generation 严重降低推理能力 </a>

<a href=/ai_concepts/ai_inference/ai/ai_algorithms/2024/08/20/guided-generation.html title=AI> 【AI】No free launch：Guided Generation 严重降低推理能力 </a>

<a href=/ai_concepts/ai_inference/ai/ai_algorithms/2024/08/19/guided-decoding.html title=AI> 【AI】输出如何严格按照格式？Guided Generation </a>

<a href=/ai_concepts/ai_training/ai/ai_algorithms/2024/08/14/gradient-checkpointing.html title=AI> 【AI】防止OOM的利器：Gradient checkpointing & Gradient Accumulation </a>

<a href=/ai_concepts/ai_training/ai/ai_algorithms/2024/08/12/flash-attention.html title=AI> 【AI】Flash Attention - 两倍速你的训练过程 </a>

<a href=/ai/ai_algorithms/vision/2024/07/28/scaling-law.html title=AI> 【AI】Pretrain的Scaling law是什么 </a>

<a href=/ai/ai_algorithms/vision/2024/07/28/rope.html title=AI> 【AI】RoPE - Roformer </a>

<a href=/ai/ai_algorithms/vision/2024/06/03/vision-transformer.html title=AI> 【AI】Vision Transformer </a>

<a href=/ai/ai_algorithms/vae/2024/06/01/Why-attention-why-transformer.html title=AI> 【AI】Why attention, why transformer </a>

<a href=/ai/ai_algorithms/vae/2024/05/24/platonic-representation.html title=AI> 【AI】The Platonic Representation Hypothesis </a>

<a href=/ai/ai_algorithms/vae/2024/05/19/vae.html title=AI> 【AI】Variational Auto Encoder </a>

<a href=/ai/ai_algorithms/2024/05/19/make-a-scene.html title=AI> 【AI】Make A Scene - Meta的T2I核心解析 </a>

<a href=/ai/ai_algorithms/2024/05/18/chamelon.html title=AI> 【AI】Chameleon - Meta全模态大模型 </a>

<a href=/ai/ai_algorithms/2024/05/16/minigpt-4.html title=AI> 【AI】MiniGPT-4详解 </a>

<a href=/ai/ai_algorithms/2024/05/11/internlmxc2.html title=AI> 【AI】Internlm-xcomposer 2 </a>

<a href=/ai/ai_algorithms/2024/05/08/mixed-precision-training.html title=AI> 【AI】Mixed Precision Training </a>

<a href=/ai/ai_algorithms/2024/04/28/deepspeed.html title=AI> 【AI】Deepspeed Training </a>

<a href=/ai/ai_algorithms/2024/04/18/llava-multi-image-sft.html title=AI> 【AI】LLaVA Multiple Images Training Code </a>

<a href=/ai/ai_algorithms/2024/04/06/llava-sft.html title=AI> 【AI】LLaVA Multiple Images SFT </a>

<a href=/ai/ai_algorithms/2024/03/31/llava.html title=AI> 【AI】LLaVA MS Research </a>

<a href=/ai/ai_algorithms/2024/03/27/blip-2.html title=AI> 【AI】BLIP-2 Salesforce </a>

<a href=/ai/ai_algorithms/2024/03/13/flamingo.html title=AI> 【AI】Flamingo </a>

<a href=/ai/ai_algorithms/2024/01/29/llm-decoder-only.html title=AI> 【AI】Decoder-only Transformer </a>

<a href=/ai/ai_algorithms/2024/01/29/multi-modal-lm.html title=AI> 【AI】多模态总结 </a>

<a href=/ai/ai_algorithms/2024/01/27/llm-encoder-only.html title=AI> 【AI】Encoder-only Transformer </a>

<a href=/ai/ai_algorithms/2024/01/23/llm-encoder-decoder.html title=AI> 【AI】Encoder-decoder Transformer </a>

<a href=/ai/ai_algorithms/2024/01/23/llm-sft.html title=AI> 【AI】SFT，FT，和Multi-task Prompt Tuning还没分清吗 </a>

<a href=/ai/ai_algorithms/2024/01/21/llm-meta-abilities.html title=AI> 【AI】元能力探索：监督微调的能力 </a>

<a href=/ai/ai_basics/2024/01/15/prompting-avoidance.html title=AI> 【AI】大模型算法如何避免成为Prompt Engineer和数据清洗师 </a>

<a href=/ai/ai_basics/2023/11/24/video-modal.html title=AI> 【AI】Scaling multimodal understanding to long videos </a>

<a href=/ai/ai_basics/2023/11/03/llm-learning.html title=AI> 【AI】LLM Learning </a>

<a href=/ai/ai_basics/2023/10/28/llm-prompting.html title=AI> 【AI】LLM Prompting </a>

<a href=/ai/ai_basics/2023/10/28/llm-agents.html title=AI> 【AI】LLM Agents </a>

<a href=/ai/ai_basics/2023/10/12/multi-model.html title=AI> 【AI】Multi-Modality Learning </a>

<a href=/ai/ai_basics/2023/10/08/llm-rl.html title=AI> 【AI】LLM RL Modeling </a>

<a href=/ai/ai_basics/2023/10/06/reinforcement-learning.html title=AI> 【AI】Reinforcement Learning </a>

<a href=/ai/ai_basics/2023/06/08/0607github-trending.html title=AI> 【AI】06/07 Github Trending </a>

<a href=/ai/ai_basics/2023/05/08/llm-thought.html title=AI> 【AI】LLM Thoughts </a>

<a href=/ai/ai_basics/2022/02/25/ml-basic-knowledge.html title=AI> 【AI】ML Basic Knowledge </a>

<a href=/ai/ai_basics/2021/12/07/item2vec.html title=AI> 【AI】Item2Vec详解 </a>

<a href=/ai/ai_basics/2021/12/07/WAMPE.html title=AI> 【AI】WMAPE详解 </a>

<a href=/ai/ai_algorithms/2021/12/07/LSTM-CNN.html title=AI> 【AI】LSTM+CNN详解 </a>

<a href=/ai/ai_basics/2021/12/06/one-hot.html title=AI> 【AI】One-hot Vector实例 </a>

<a href=/ai/ai_algorithms/2021/12/06/esmm.html title=AI> 【AI】ESMM CVR预测详解 </a>

<a href=/ai/ai_algorithms/2021/12/05/wide_&_deep.html title=AI> 【AI】Wide&Deep Item-based content retrieval(基于内容的协同过滤) </a>

<a href=/ai/ai_basics/2021/12/05/logistic-regression.html title=AI> 【AI】Logistic Regression详解 </a>

<a href=/ai/ai_algorithms/2021/12/05/dsmm.html title=AI> 【AI】DSMM Item-based系统过滤 </a>

<a href=/ai/ai_basics/2021/12/05/cross-entropy-loss.html title=AI> 【AI】Cross Entropy Loss详解 </a>

<a href=/ai/ai_basics/2021/12/01/unigram-distribution.html title=AI> 【AI】Unigram Distribution(NLP中常用) </a>

<a href=/ai/ai_algorithms/2021/12/01/gbdt.html title=AI> 【AI】GBDT(Gradient Boosting Decision Tree)详解 </a>

<a href=/ai/ai_algorithms/2021/11/25/ARIMA.html title=AI> 【AI】Arima模型详解 </a>

<a href=/ai/ai_basics/2021/11/21/term-vector.html title=AI> 【AI】Term-Vector含义 </a>

<a href=/ai/ai_basics/2021/11/20/softmax.html title=AI> 【AI】Softmax函数 </a>

<a href=/ai/ads/2021/11/19/Recommend.html title=AI> 【Ad】Recommendation System Overview(推荐系统详解) </a>