Surge AI
Surge AI이란 무엇인가요?
Surge AI is the world's most powerful data labeling platform. It provides a global data labeling platform and workforce, allowing users to build powerful datasets for training AI models.
Surge AI을 어떻게 사용하나요?
To use Surge AI, simply sign in to the website and access the platform. From there, you can create labeling projects, set labeling instructions, and manage the labeling workforce.
Surge AI의 핵심 기능
Global data labeling platform
Elite workforce in 40+ languages
Integration with modern APIs and tools
Surge AI의 사용 사례
Language Models
Search Evaluation
Content Moderation
Sentiment Analysis
Customer Support
Financial Categorization
GPT Fine Tuning
Surge AI의 FAQ
What is Surge AI?
How can I use Surge AI?
What are the core features of Surge AI?
What are some use cases of Surge AI?
Surge AI 지원 이메일 및 고객 서비스 연락처 및 환불 연락처 등
다음은 고객 서비스를 위한 Surge AI 지원 이메일입니다: hello@surgehq.ai . 더 많은 문의사항이 있으면 문의하기 페이지(https://www.surgehq.ai/contact)를 방문하세요.
Surge AI 회사
Surge AI 회사 이름: Surge AI .
Surge AI에 대해 자세히 알아보려면 회사 소개 페이지(https://www.surgehq.ai/about)를 방문하세요. .
Surge AI 로그인
Surge AI 로그인 링크: https://app.surgehq.ai/users/sign_in
Surge AI 가입
Surge AI 가입 링크: https://www.surgehq.ai/sign-up
Surge AI 가격
Surge AI 가격 링크: https://www.surgehq.ai/pricing
Surge AI Linkedin
Surge AI Linkedin 링크: https://www.linkedin.com/company/surge-ai/
Surge AI Twitter
Surge AI Twitter 링크: https://twitter.com/HelloSurgeAI
Surge AI Instagram
Surge AI Instagram 링크: https://www.instagram.com/hellosurgeai/
Surge AI Github
Surge AI Github 링크: https://github.com/surge-ai/
Surge AI 리뷰(0)
Surge AI 분석
Surge AI 웹사이트 트래픽 분석
지리적 트래픽
상위 5지역
Surge AI 삽입 실행
웹사이트 배지를 사용하여 커뮤니티에서 Toolify Launch에 대한 지원을 유도하세요. 홈페이지나 바닥글에 쉽게 삽입할 수 있습니다.
Surge AI의 대안
Surge AI에 대한 추가 콘텐츠
모든 데이터 과학자가 알아야 할 6가지 필수 데이터셋
작성자: Pankaj Rai 님의 글 6월 06 2024
데이터 인사이트를 해제하라: 6가지 꼭 알아야 할 데이터셋을 탐색하라!
12가지 방법으로 AI 지원 라벨링이 데이터 주석 효율을 향상시킵니다.
작성자: Hitesh Sant 님의 글 7월 05 2024
효율성 해제: 12가지 인공지능 증강 데이터 라벨링 기술이 기다리고 있습니다!
AI 보조 데이터 레이블링이 기계 학습 성능을 향상시키는 14 가지 방법
작성자: Theodore 님의 글 4월 06 2024
AI 보조 데이터 라벨링의 힘을 해제하세요! Toolify AI로 당신의 ML 성능을 높이는 14가지 방법을 알아보세요. 자세히 알아보려면 클릭하세요!
소셜 리스닝
How to Unlock the Power of Zero Volume Keywords & Drive Traffic (3000+ Clicks)
Disclosure: There are affiliate links below which means if you make a purchase after clicking on one, I may earn a commission. Zero volume keywords, as they're called, are very misleading - as many of them are not truly "zero volume" and in fact can bring in hundreds - even thousands - of clicks through Google search! But not all low volume keywords are created equal - in this video, I walk you through what zero and low volume keywords are, why they're important, which types to target, and where to find them. VIDEO RESOURCES: Keyword Research Tools: - Keywords Everywhere Chrome Extension - https://bit.ly/cww-kee - MozBar - https://bit.ly/cww-mbe - LowFruits - https://lowfruits.io/?via=corrie - Exploding Topics - https://explodingtopics.com/ - Surge AI - https://www.surgehq.ai/ AI Tools Mentioned for Writing Blog Posts - ChatGPT - https://chat.openai.com/ - Jasper AI - https://jasper.ai?utm_source=partner&fpr=corriewhowrites - Koala AI - https://koala.sh/writer?via=corrie AI Tools Mentioned for SEO: - Surfer SEO - https://get.surferseo.com/41sfdcrf4g2x Tutorials for Writing Optimized Blog Posts with AI : - Featured Snippet informational blog post - https://youtu.be/Bv8ZdOhhj9A - Writing affiliate marketing blog posts - https://youtu.be/OexEBBui34M - ChatGPT tutorial - https://youtu.be/ZCcYTiqxpww - Amazon roundup review posts with Koala - https://youtu.be/vn3qX5ax7Gs - Writing Blog Posts with Jasper Workflow - https://youtu.be/VsGeE85ZhZg - Writing blog posts with ChatGPT & Optimizing articles with Surfer SEO - https://youtu.be/FURiF_OWUi0 TIMESTAMPS: 0:00 | Introduction 0:52 | What Are "Zero Volume" Keywords & Why Do They Matter? 3:38 | The Three Types of Ideal Zero Volume Keywords 6:21 | How to Find 0-Vol Keywords: Method 1 7:28 | How to Find 0-Vol Keywords: Method 2 8:26 | How to Find Trending Topics: Method 1 10:45 | How to Find Trending Topics: Method 2 11:40 | Writing Content for Keywords *My content is for informational/educational purposes only. I aim to accurately represent the information provided in these videos, but I make no guarantees. Everyone’s journey as an online writer is different and you are solely and personally responsible for your results. You are responsible for your own actions and I assume no responsibility if you use the information provided through my content. Find the full disclaimer here: https://corriewhowrites.com/disclaimer/
Earn $30/Day With UHRS Similar Job | Best Part Time Work for Students
Earn $30/Day With UHRS Similar Job | Best Part Time Work for Students This video talks about Best Crowdsourcing Platforms always hiring. The top 5 AI Crowdsourcing platforms offer remote jobs in AI Collectors, AI dataset preparation, Data annotation and training AI, and Machine learning. Read Proven path to Online Earnings:https://amzn.to/3DJ4uYv Apply link:https://bit.ly/3RPI9g3 Earn $2 signup Bonus and Real Cash:https://bit.ly/4e2ldDL Best Crowdsourcing Platform:https://www.secretearnings.net/best-crowdsourcing-platform-always-hiring-for-easy-jobs/ Earn Daily $5 without investment and skills with Proof:https://bit.ly/3wbjw60 Queries Solved: UHRS Similar Job UHRS Alternative Best Part Time Work for Students Best Crowdsourcing Platforms Best Online Jobs for Students Crowdsourcing work platform Free crowdsourcing platform Crowdsourcing platform Crowdsourcing platform free Registration Links: Surge AI Jobs:https://www.surgehq.ai/careers Twine AI Jobs:https://www.twine.net/freelance/data-collector Lionbridge AI:https://careers.lionbridge.com/translation/ Summa Linguae Jobs:https://summalinguae.com/careers/ Telus International:https://jobs.telusinternational.com/en_US/careers/ArtificialIntelligence Must Watch Videos: Must Read My $15K Story Starting with Nothing:https://amzn.to/3DJ4uYv New Crowd Task:https://youtu.be/sSp-3Yqry2o UHRS vs Mturk:https://youtu.be/6upVLzyWhzA Why UHRS Blocked:https://youtu.be/A6kZtmm96mA Shop your favorite Things @30 % OFF Branded T-Shirts:https://amzn.to/3TW97mz Mobiles:https://amzn.to/3PF8M6g Accessories:https://amzn.to/3J1upK4 Follow us on other Social Media Telegram:https://t.me/quickearningsofficial Instagram:https://www.instagram.com/quick_earnings_official/ Facebook:https://www.facebook.com/QuickEarningsofficial Quora:https://secretearnings.quora.com/?invite_code=PJdkwQInNOtLHO7D6ejI I share videos related to Ai jobs, AI crowdsourcing, Best crowdsourcing job, crowdsourcing platform, uhrs clickworker , datamime uhrs, uhrs jobs, uhrs tips, uhrs tricks, make money online, make money online 2024, how to make money, how to make money online, work from home, work from home jobs 2024, online jobs at home, best online jobs, Best ways to make Money, Earn Money Testing apps and websites, Best methods to earn money online, how to make money online without investment, how to make money online for student, how to earn money online 2024, remote jobs 2024, side hustles 2024. #uhrs #uhrsclickworker #clickworker #crowdsourcing #makemoneyonline #crowdjobs #aijobs #howtomakemoneyonline2023 #howtoearnmoneyonline #studentjobs #earnmoneyonlineforstudents #quickearnings Friends Agar Ye video Acchi lagi aur It is "Worth useful" to you Please Like, Share, and subscribe to this channel to get more updates. I will post another interesting video soon. Other related topics discussed: AI Platforms to make money AI crowdsourcing platform UHRS similar crowdsourcing platform Clickworker similar platform Surge AI Summa Linguae jobs Twine AI Jobs Telus International remote jobs Lionbridge AI Jobs AI Jobs For Business Contact:shubham068@yahoo.com Disclaimer: All videos posted on this channel are based on personal experience and feedback available on the internet. Methods discussed to earn money, strategies to earn money online, make money online, working on UHRS, and all content related to UHRS do not fit for all. Some aspirational statements in videos are for Earning potential. There is no guarantee that you will get the same results. Your earnings will entirely depend on skills, work, experience, and level of expertise, etc...I am not a financial advisor and nothing in this video should be considered as legal advice, you must do your own research and then work. I share genuine, legitimate, and real ways or methods to Earn Money Online. Never take personal opinions/experience for financial investments and guidance.
Podcast with Connor: ChatGPT, LLMs, Form vs Meaning
Topics: 00:00 Intro 01:54 Things Connor learnt in the past year that changed his perception of Vector Search 02:42 Is search becoming conversational? 05:46 Connor asks Dmitry: How Large Language Models will change Search? 08:39 Vector Search Pyramid 09:53 Large models, data, Form vs Meaning and octopus underneath the ocean 13:25 Examples of getting help from ChatGPT and how it compares to web search today 18:32 Classical search engines with URLs for verification vs ChatGPT-style answers 20:15 Hybrid search: keywords + semantic retrieval 23:12 Connor asks Dmitry about his experience with sparse retrieval 28:08 SPLADE vectors 34:10 OOD-DiskANN: handling the out-of-distribution queries, and nuances of sparse vs dense indexing and search 39:54 Ways to debug a query case in dense retrieval (spoiler: it is a challenge!) 44:47 Intricacies of teaching ML models to understand your data and re-vectorization 49:23 Local IDF vs global IDF and how dense search can approach this issue 54:00 Realtime index 59:01 Natural language to SQL 1:04:47 Turning text into a causal DAG 1:10:41 Engineering and Research as two highly intelligent disciplines 1:18:34 Podcast search 1:25:24 Ref2Vec for recommender systems 1:29:48 Announcements Show notes: - CAP theorem: https://en.wikipedia.org/wiki/CAP_theorem - Multilingual and Multimodal Vector Search with Hardware Acceleration: https://blog.muves.io/multilingual-and-multimodal-vector-search-with-hardware-acceleration-2091a825de78 - Google's FLANN model: https://ai.googleblog.com/2021/10/introducing-flan-more-generalizable.html - Meta's OPT model: https://huggingface.co/facebook/opt-350m Few-shot learning: https://huggingface.co/blog/few-shot-learning-gpt-neo-and-inference-api Reinforcement Learning with Human Feedback: https://huggingface.co/blog/rlhf - GPT Index: https://gpt-index.readthedocs.io/en/latest/index.html - Neural Magic: https://neuralmagic.com/ - Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data: https://aclanthology.org/2020.acl-main.463.pdf - Data labeling with Surge AI: https://www.surgehq.ai/ - Experience Grounds Language: https://arxiv.org/abs/2004.10151 - The ladder of causation explained: http://lgmoneda.github.io/2018/06/01/the-book-of-why.html - Interview with Judea Pearl: https://www.youtube.com/watch?v=G5OlWbVOyCM - Big ANN experiments of team Sisu: https://github.com/DmitryKey/big-ann - InstructGPT: https://openai.com/blog/instruction-following/ - WebGPT: https://openai.com/blog/webgpt/ - You.com - AI Search Engine: https://you.com/ - Binary Independence Model: https://en.wikipedia.org/wiki/Binary_Independence_Model - Dmitry Kan on Neural Search Frameworks - Weaviate Podcast #34: https://www.youtube.com/watch?v=1ebCUCUJraE - Understanding Scoring Through Examples at Haystack LIVE! https://www.youtube.com/watch?v=LA_W7aVVZro - Relevant Search by Doug Turnbull and John Berryman: https://www.manning.com/books/relevant-search - Term frequency saturation: https://opensourceconnections.com/blog/2015/10/16/bm25-the-next-generation-of-lucene-relevation/ - SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking https://arxiv.org/abs/2107.05720 - OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries https://arxiv.org/abs/2211.12850 - ANN Benchmarks http://ann-benchmarks.com/ - Big ANN Benchmarks https://big-ann-benchmarks.com/ - BEIR: A Heterogeneous Benchmark for Information Retrieval https://github.com/beir-cellar/beir - Task-aware retrieval with instructions: https://arxiv.org/abs/2211.09260 - NFCorpus: A Full-Text Learning to Rank Dataset for Medical Information Retrieval https://www.cl.uni-heidelberg.de/statnlpgroup/nfcorpus/ - Muves presentation at Berlin Buzzwords'22: https://www.youtube.com/watch?v=9OS8cMf2rwY - A complete Tweet index on Apache Lucene by Michael Busch https://www.youtube.com/watch?v=MLG39s9wnk4 - CURL: Contrastive Unsupervised Representations for Reinforcement Learning https://arxiv.org/abs/2004.04136 - Causal Inference using Natural Language Processing https://towardsdatascience.com/causal-inference-using-natural-language-processing-da0e222b84b - Transformer Memory as a Differentiable Search Index https://arxiv.org/abs/2202.06991 - Ask Your Developer: https://www.amazon.com/Ask-Your-Developer-Software-Developers/dp/0063018292 - Data? Model? Interaction: https://nips.cc/virtual/2022/invited-talk/55870 - Snorkel: https://snorkel.ai/ - What is Ref2Vec and why you need it for your recommendation system https://weaviate.io/blog/ref2vec-centroid - BERTopic: https://maartengr.github.io/BERTopic/ - Collection of the BEIR benchmarks uploaded and backed up in Weaviate! https://github.com/weaviate/weaviate-BEIR-benchmarks Podcast design: Saurabh Rai: https://twitter.com/saurabhraidev
총 4개의 소셜 미디어 데이터를 보려면 잠금을 해제해야 합니다