【大语言模型】𝐋𝐋𝐌𝐬 路线图: 从nlp基础知识到理解llms的精心策划的内容列表

📌 𝐍𝐋𝐏
📚 𝐂𝐨𝐮𝐫𝐬𝐞: NLP specialization https://lnkd.in/eZQc9hTu
📑 𝐀𝐫𝐭𝐢𝐜𝐥𝐞: NLP word representations basics: https://lnkd.in/eFqSJYxa
📑 𝐀𝐫𝐭𝐢𝐜𝐥𝐞: Attention is all you need: https://lnkd.in/erP6xex8
📹 𝐕𝐢𝐝𝐞𝐨: Word embedding, Word2Vec: https://lnkd.in/eweB-sjU
📹 𝐕𝐢𝐝𝐞𝐨: Decoder only Transformers: https://lnkd.in/e-ewtNXJ

📌 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬
📚 𝐂𝐨𝐮𝐫𝐬𝐞: Understanding Large Language Models https://lnkd.in/ehjGtA8U
📚 𝐂𝐨𝐮𝐫𝐬𝐞: Hands on LLM course by Maxime Labonne https://lnkd.in/e_xNSZyY
📚 𝐂𝐨𝐮𝐫𝐬𝐞: Hans on LLM by Paul Iusztin and Pau Labarta Bajo https://lnkd.in/eevAYGky
📑 𝐀𝐫𝐭𝐢𝐜𝐥𝐞: LLM Patterns: https://lnkd.in/eJT3m9Ck

📌 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 & 𝐏𝐫𝐞-𝐭𝐫𝐚𝐢𝐧𝐞𝐝 𝐌𝐨𝐝𝐞𝐥𝐬
📚 𝐂𝐨𝐮𝐫𝐬𝐞: NLP course Hugging Face https://lnkd.in/e-RjcYGu
📚 𝐂𝐨𝐮𝐫𝐬𝐞: NLP & LLM Course by Cohere https://lnkd.in/eKys6E5U
📚 𝐂𝐨𝐮𝐫𝐬𝐞: Fine-tuning Large Language Models (short): https://lnkd.in/ehVRv-ZE
llms
📑 𝐀𝐫𝐭𝐢𝐜𝐥𝐞: Improving Language Understanding by Generative Pre-Training https://lnkd.in/eg9FDgXq
📑 𝐀𝐫𝐭𝐢𝐜𝐥𝐞: hashtag#gpt3 Language Models are Few-Shot Learners https://lnkd.in/e7CN3J-t

📌 𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬
📚 𝐂𝐨𝐮𝐫𝐬𝐞: Semantic Search : https://lnkd.in/eRak73U9
📚 𝐂𝐨𝐮𝐫𝐬𝐞: Building Applications with Vector Databases (short) by DeepLearning.AI https://lnkd.in/etxjqdJs
📑 𝐀𝐫𝐭𝐢𝐜𝐥𝐞: hashtag#RAG for Knowledge-Intensive NLP Tasks https://lnkd.in/eGwmUbHs

📌 𝐆𝐞𝐧 𝐀𝐈
📚 𝐂𝐨𝐮𝐫𝐬𝐞: Generative Path by Google: https://lnkd.in/eyms3zrM
📚 𝐂𝐨𝐮𝐫𝐬𝐞: Full-stack LLM https://lnkd.in/eEvnJ3W7
📚 𝐂𝐨𝐮𝐫𝐬𝐞: Deploying GPT and Pre-trained Models https://lnkd.in/eXfhFHnj
📚 𝐂𝐨𝐮𝐫𝐬𝐞: RLHF (short): https://lnkd.in/e4bG_k6J
📑 𝐀𝐫𝐭𝐢𝐜𝐥𝐞: Prompt Engineering basics: https://lnkd.in/eYK_fWQV


📌 𝐋𝐋𝐌𝐎𝐏𝐬
📚 𝐂𝐨𝐮𝐫𝐬𝐞: LLMOps (short) https://lnkd.in/e7nT4A_2
📚 𝐂𝐨𝐮𝐫𝐬𝐞 Functions, Tools and Agents with LangChain (short) https://lnkd.in/eEWvf8-d
📚 𝐂𝐨𝐮𝐫𝐬𝐞 : Automated testing LLMOPs (short) https://lnkd.in/e6ZCeytC