Скачать с ютуб LLM Tokenizers Explained: BPE Encoding, WordPiece and SentencePiece в хорошем качестве

LLM Tokenizers Explained: BPE Encoding, WordPiece and SentencePiece

In this video we talk about three tokenizers that are commonly used when training large language models: (1) the byte-pair encoding tokenizer, (2) the wordpiece tokenizer and (3) the sentencepiece tokenizer. References ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ BPE tokenizer paper: https://arxiv.org/abs/1508.07909 WordPiece tokenizer paper: Wordpiece tokenizer paper: https://static.googleusercontent.com/... Sentencepiece tokenizer paper: https://arxiv.org/abs/1808.06226 Related Videos ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Why Language Models Hallucinate:    • Why LLMs Hallucinate   Grounding DINO, Open-Set Object Detection:    • Object Detection Part 8: Grounding DI...   Detection Transformers (DETR), Object Queries:    • Object Detection Part 7: Detection Tr...   Wav2vec2 A Framework for Self-Supervised Learning of Speech Representations - Paper Explained:    • Wav2vec2 A Framework for Self-Supervi...   Transformer Self-Attention Mechanism Explained:    • Transformer Self-Attention Mechanism ...   How to Fine-tune Large Language Models Like ChatGPT with Low-Rank Adaptation (LoRA):    • Low-Rank Adaptation (LoRA) Explained   Multi-Head Attention (MHA), Multi-Query Attention (MQA), Grouped Query Attention (GQA) Explained:    • Multi-Head Attention (MHA), Multi-Que...   LLM Prompt Engineering with Random Sampling: Temperature, Top-k, Top-p:    • LLM Prompt Engineering with Random Sa...   Contents ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - Intro 00:32 - BPE Encoding 02:16 - Wordpiece 03:45 - Sentencepiece 04:52 - Outro Follow Me ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 Twitter: @datamlistic   / datamlistic   📸 Instagram: @datamlistic   / datamlistic   📱 TikTok: @datamlistic   / datamlistic   Channel Support ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon:   / datamlistic   ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #tokenization #llm #wordpiece #sentencepiece