路线图: 从#nlp#基础知识到理解#llms#的精心策划的内容列表。
: NLP specialization https://t.cn/A6YYGTrN
: NLP word representations basics: https://t.cn/A6YYGTr6
: Attention is all you need: https://t.cn/A6YYGTr0
: Word embedding, Word2Vec: https://t.cn/A6YYGTrY
: Decoder only Transformers: https://t.cn/A6YYGTri
: Understanding Large Language Models https://t.cn/A6YYGTrM
: Hands on LLM course by Maxime Labonne https://t.cn/A6YYGTrX
: Hans on LLM by Paul Iusztin and Pau Labarta Bajo https://t.cn/A6YYGTrO
: LLM Patterns: https://t.cn/A6YYGTrx
& -
: NLP course Hugging Face https://t.cn/A6YYGTro
: NLP & LLM Course by Cohere https://t.cn/A6YYGTrI
: Fine-tuning Large Language Models (short): https://t.cn/A6YYGTrC
llms
: Improving Language Understanding by Generative Pre-Training https://t.cn/A6YYGTrT
: #gpt3 Language Models are Few-Shot Learners https://t.cn/A6YYGTrp
: Semantic Search : https://t.cn/A6YYGTrS
: Building Applications with Vector Databases (short) by DeepLearning.AI https://t.cn/A6YYGTra
: #RAG for Knowledge-Intensive NLP Tasks https://t.cn/A6YYGTrK
: Generative Path by Google: https://t.cn/A6YYGTrJ
: Full-stack LLM https://t.cn/A6YYGTrW
: Deploying GPT and Pre-trained Models https://t.cn/A6YYGTr9
: RLHF (short): https://lnkd.in/e4bG_k6J
: Prompt Engineering basics: https://lnkd.in/eYK_fWQV
: LLMOps (short) https://lnkd.in/e7nT4A_2
Functions, Tools and Agents with LangChain (short) https://lnkd.in/eEWvf8-d
: Automated testing LLMOPs (short) https://lnkd.in/e6ZCeytC
#人工智能##架构师研究会[超话]##人工智能[超话]##LLM#
: NLP specialization https://t.cn/A6YYGTrN
: NLP word representations basics: https://t.cn/A6YYGTr6
: Attention is all you need: https://t.cn/A6YYGTr0
: Word embedding, Word2Vec: https://t.cn/A6YYGTrY
: Decoder only Transformers: https://t.cn/A6YYGTri
: Understanding Large Language Models https://t.cn/A6YYGTrM
: Hands on LLM course by Maxime Labonne https://t.cn/A6YYGTrX
: Hans on LLM by Paul Iusztin and Pau Labarta Bajo https://t.cn/A6YYGTrO
: LLM Patterns: https://t.cn/A6YYGTrx
& -
: NLP course Hugging Face https://t.cn/A6YYGTro
: NLP & LLM Course by Cohere https://t.cn/A6YYGTrI
: Fine-tuning Large Language Models (short): https://t.cn/A6YYGTrC
llms
: Improving Language Understanding by Generative Pre-Training https://t.cn/A6YYGTrT
: #gpt3 Language Models are Few-Shot Learners https://t.cn/A6YYGTrp
: Semantic Search : https://t.cn/A6YYGTrS
: Building Applications with Vector Databases (short) by DeepLearning.AI https://t.cn/A6YYGTra
: #RAG for Knowledge-Intensive NLP Tasks https://t.cn/A6YYGTrK
: Generative Path by Google: https://t.cn/A6YYGTrJ
: Full-stack LLM https://t.cn/A6YYGTrW
: Deploying GPT and Pre-trained Models https://t.cn/A6YYGTr9
: RLHF (short): https://lnkd.in/e4bG_k6J
: Prompt Engineering basics: https://lnkd.in/eYK_fWQV
: LLMOps (short) https://lnkd.in/e7nT4A_2
Functions, Tools and Agents with LangChain (short) https://lnkd.in/eEWvf8-d
: Automated testing LLMOPs (short) https://lnkd.in/e6ZCeytC
#人工智能##架构师研究会[超话]##人工智能[超话]##LLM#
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Ad*r 100%棉涂鸦字母长袖T https://t.cn/A6YYGSUN，淘宝名搜：nanaclub 喜欢提前加购哦‼️
1⃣️5⃣️款新品： Alex*nder wa*g撞色卷边长袖/短袖T、Edit*on羊毛交叠V领条纹针织开衫、I*MI 100%棉樱桃字母长袖T、Ad*r撞色插肩字母刺绣长袖T、Ad*r 100%棉涂鸦字母长袖T、瑜伽运动背心（lulu同款）、垂感微喇休闲裤（lulu同款）、100%棉镂空刺绣白衬衣、方领背心连衣裙、小香风V领针织背心、9分阔腿牛仔裤、水墨画A字褶皱半裙、法式方领针织连衣裙、窄版直筒牛仔裤、3.0版冰丝裸感无痕收腹裤
【Indoor Formaldehyde Removal Techniques through Paints: Review】
#论文发表# #环境污染# #室内空气污染物# #除甲醛# #空气质量#
Formaldehyde is the most commonly encountered VOC and is the primary indoor air contaminant with mild to chronic impacts on individuals. This review paper presents a variety of current techniques to remove indoor formaldehyde from the air through paints, including the use of mixed metal oxides, formaldehyde-absorbing emulsions, nano titanium dioxide, #catalytic_oxidation, and aromatic formaldehyde abating materials that can improve indoor air quality.
https://t.cn/A6YY28PJ
#论文发表# #环境污染# #室内空气污染物# #除甲醛# #空气质量#
Formaldehyde is the most commonly encountered VOC and is the primary indoor air contaminant with mild to chronic impacts on individuals. This review paper presents a variety of current techniques to remove indoor formaldehyde from the air through paints, including the use of mixed metal oxides, formaldehyde-absorbing emulsions, nano titanium dioxide, #catalytic_oxidation, and aromatic formaldehyde abating materials that can improve indoor air quality.
https://t.cn/A6YY28PJ
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