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Generative AI
7 Views · 3 years ago

Redux: Use Middleware to Handle Asynchronous Actions
#100DaysOfCode

Machine Learning
10 Views · 3 years ago

Jimmy Apples (who previously leaked a supposed AGI) was proven right again. OpenAI began work on Arrakis alongside GPT-4, its latest AI model, to create a system that could power AI applications like ChatGPT much more cheaply, the Information report said. The company ended up scrapping it earlier this year after it struggled to meet expectations around efficiency, the report added.
AI models that enable applications like ChatGPT are expensive and resource-intensive, requiring expensive compute power from cloud providers such as Microsoft, Amazon, and Google. Estimates have suggested that ChatGPT costs more than $700,000 per day to run.
OpenAI struck a partnership with Microsoft in January, giving it access to the tech giant's Azure platform. The Information reported that "some executives at Microsoft" were left disappointed by the shortcomings of Arrakis.
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Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.
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TIMESTAMPS:
00:00 Jimmy Apple's New OpenAI Leaks
01:04 All New OpenAI Leaks
04:08 What is Artificial General Intelligence
05:58 Future of OpenAI
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#openai #ai #leaks

Generative AI
15 Views · 2 years ago

Welcome to our channel! In this video, we will be discussing how to master the field of data science.

Data science is a rapidly growing field that is constantly evolving, so it's essential to stay up-to-date with the latest technologies and techniques. Whether you're just starting or already have some experience in data science, this video will provide valuable insights and tips to help you become a data science master.

First, we will discuss the foundational skills required for data science, such as programming, statistics, and mathematics. Then, we will dive into more advanced topics like machine learning, data visualization, and big data processing.

Throughout the video, we will also provide resources and recommendations on courses, books, and online tutorials to help you develop and enhance your data science skills.

We will also cover the importance of working on real-world data science projects and networking with other professionals in the industry to stay updated with the latest trends and job opportunities.

By the end of this video, you will have a better understanding of the essential skills and resources needed to become a data science master. So, whether you're a student or a working professional looking to transition into data science, be sure to watch this video to take your data science skills to the next level.

Don't forget to like, comment, and subscribe to our channel for more exciting content on data science and other related topics!

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🔵 Following Topics are covered in this session:
0:00 - Introduction
1:54 - What is Data Science?
2:43 - Who is a Data Scientist?
3:43 - What does a Data Scientist Do?
5:30 - How to Master Data Science?
17:18 - What is the Demand for Data Science Professionals?
18:12 - Conclusion


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Machine Learning
8 Views · 2 years ago

This government warehouse keeps our entire society up to standard. Part of this video was sponsored by Google Domains. Take the first step to get online with a domain name from Google Domains - go to domains.google/veritasium to get 20% off your first year. #GoogleDomains

▀▀▀
Thanks to Rich Press and NIST for the great visit.
Thanks to Dr. Steve Choquette, Dr. Ben Place, and Dr. Johanna Camara for teaching us about the world of Standard Reference Materials.
You can check out all the cool work going on at NIST here: https://www.nist.gov/

▀▀▀
References:

NIST (2022). Standard Reference Materials. – https://ve42.co/WhyStandard2022

Montgomery, R. & Bercik, I. (2022). NIST Standard Reference Materials 2022 Catalog. – https://ve42.co/SRMCatalog

Vincent, J. (2022). Made to measure: why we can’t stop quantifying our lives. The Guardian –
https://ve42.co/Vincent2022

Proffitt, A. (2022). NIST Develops Monkeypox Reference Materials, Sees Growing Role in Outbreak Response. Diagnostics World. – https://ve42.co/Proffitt2022

▀▀▀
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James Sanger, Louis Lebbos, Elliot Miller, Brian Busbee, Jerome Barakos M.D., Amadeo Bee, TTST, Balkrishna Heroor, Chris LaClair, John H. Austin Jr., OnlineBookClub.org, Matthew Gonzalez, Eric Sexton, John Kiehl, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Mike Schneider, John Bauer, Jim Buckmaster, Juan Benet, Sunil Nagaraj, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi

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Written by Derek Muller & Emily Zhang
Edited by Trenton Oliver
Animation by Ivy Tello & Mike Radjabov
Filmed by Derek Muller, Trenton Oliver, and Emily Zhang
Additional video/photos supplied by Pond5 & Getty Images
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, and Emily Zhang

Machine Learning
14 Views · 2 years ago

🔥Edureka's Data Science Training: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka video on 'Support Vector Machine Tutorial For Beginners' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.

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About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
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Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
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Who should go for this Course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
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For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Generative AI
13 Views · 2 years ago

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This video on What is Machine Learning will make you understand the basics of Machine Learning and how Machine Learning works. By the end of this tutorial, you will be able to understand the different types of Machine Learning algorithms and some of the breakthroughs in the Machine Learning field. You will also learn what machine learning has to offer in terms of career opportunities in this machine learning tutorial.

This Machine Learning tutorial video will cover the following topics:

00:00 - 00:55 Real-life applications of Machine Learning
00:55 - 01:56 Challenges before Machine Learning
01:56 - 02:41 How did Machine Learning evolve?
02:41 - 03:48 Why Machine Learning / Machine Learning benefits
03:48 - 04:48 What is Machine Learning?
04:48 - 05:22 Types of Machine Learning
05:22 - 08:44 Machine Learning algorithms
08:44 - 12:57 Breakthroughs in Machine Learning
12:57 - 14:38 Machine Learning future
14:30 - 15:26 Machine Learning career
15:26 - 17:10 Machine Learning job trends

#WhatisMachineLearing #MachineLearningAlgorithms #Datasciencecourse #datascience #SimplilearnMachineLearning #MachineLearningCourse #Simplilearn

What is Machine Learning?
Machine Learning is a method that enables computers to imitate and adapt human-like behaviour, just like you and me. It isn’t programmed to perform a task. It analyses the data it has received previously, learns from it, and makes predictions or decisions for the problem scenario. In a way, the computer is training itself to perform a task the right way, after it learns everything it can from the data.

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You can also go through the Slides here: https://goo.gl/j2N7Yt

Get this presentation on Slideshare - https://www.slideshare.net/secret/CONdhE0NPJekCw

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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Machine Learning
11 Views · 2 years ago

LangChain is an open-source framework that allows you to build applications using LLMs (Large Language Models). In this crash course for LangChain, we are going to cover the following topics,

00:00 Introduction
00:22 What is Langchain?
04:38 Langchain installation and setup
06:28 LLMs, Prompt Templates
10:12 Chains
11:57 Simple Sequential Chain
15:30 Sequential Chain
18:00 Build Streamlit App
27:40 Agents
37:24 Memory

Link to the source code: https://codebasics.io/resource....s/langchain-crash-co

Langchain tutorial playlist: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

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Machine Learning
8 Views · 2 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
In this Edureka video on “ ChatGPT4 vs ChatGPT 3.5” , you will learn about the new version of GPT model 4 against GPT 3.5., I aim to show you what is ChatGPT-4 and how it is going to change our world. What do you think about this new ChatGPT-4? Leave us a comment and let us know what you think of this video. We want to hear your thoughts. Below are the topics covered in this video:

00:00 Introduction
00:59 What makes ChatGPT 4 different?
01:10 1.Language Expertise
01:46 2. Data Organization
02:22 3.Consistency
02:48 4.Complicated Problem Solving
03:37 5.Understanding Images and Graphics
04:21 How to Install ChatGPT 4?


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Nutural
27 Views · 2 years ago

#빗소리, #rain, #ASMR,
🔴 큰 폭풍우가 자정에 도시를 강타하여 숙면을 취하도록 돕습니다

https://www.youtube.com/channe....l/UCt72qEUCgc_o-r2Uh

🌿 휴식, 명상, 공부, 독서, 마사지, 스파 또는 수면을 위한 편안한 비 음악. 이 빗소리는 이완을 촉진하고 나쁜 진동을 제거하는 데 도움이 되므로 불안, 스트레스 또는 불면증에 이상적입니다. 그들은 또한 이 비의 음악을 명상이나 잠자는 동안 휴식을 위한 배경으로 사용할 수 있습니다.
🌿 "Storm Power" 채널의 새로운 편안한 라이브 음악 프로그램에 오신 것을 환영합니다. 비디오 볼륨을 낮추고 공부, 일, 독서 등 원하는 모든 일을 시작할 수 있습니다.
음악 대상: 힐링 음악, 힐링 음악, 편안한 음악, 치료 음악, 치료 음악, 영혼 음악, 잠자는 음악, 진정 음악, 편안한 음악, 자장가, 레이키 음악, 세션 음악, 음악 음악, 신경질적인 음악, 사랑의 음악, 심장 음악, 부드러운 음악, 슬픈 음악, 좋은 음악, 직장 음악, 건강 음악, 스트레스 해소, 요가, 스파.
🌿 바탕 화면 작성자 : Storm Power

---------------------------------------------------

►모든 권리는 해당 소유자에게 있습니다.
✔ 본 영상은

Generative AI
8 Views · 9 months ago

In this video, we see two math problems that require the exact same logic to solve. However, one is very easy and one is very hard. Why?

For information on my book "Grokking Machine Learning":
https://www.manning.com/books/....grokking-machine-lea
Discount code (40%): serranoyt




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