Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/Bdnd3d

Learn more about Large Language Models (LLMs) here → https://ibm.biz/Bdnd3x

What if you could run large language models locally with just one command? 🚀 Cedric Clyburn shows how Ollama, an open-source tool, simplifies deploying LLMs on your machine. 💡 Protect your data, save costs, and explore powerful AI solutions—all from your own system. ✨

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/Bdnd3D

#ollama #opensourceai #llm

MIT 6.7960 Deep Learning, Fall 2024
Instructor: Sara Beery
View the complete course: https://ocw.mit.edu/courses/6-....7960-deep-learning-f
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

This video provides a course overview and introduces deep neural networks, covering their fundamental concepts and basic building blocks. It sets the stage for understanding how these models work and what components they are built from.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

Facial Keypoint Detection Kaggle Competition Solution! This solution is very simple but gives arelatively okay score and I share some thoughts on how you could improve it further (comparing with the winning solution).

Code (go to ML, Kaggle subdirectory): https://github.com/aladdinpers....son/Machine-Learning
Kaggle: https://www.kaggle.com/c/facia....l-keypoints-detectio


Timestamps:
0:00 - Introduction to competition
0:52 - Why?
1:22 - The data and the task
3:13 - Metric used
3:43 - A more in depth look at the data
7:24 - The steps of the solution
10:00 - Code: config
13:00 - Code: dataset
18:52 - Code: split_data
20:32 - Understanding submission format
21:57 - Code: utils
26:07 - Code: train/main file
31:22 - Fixing a small error
32:05 - Checking the score of submission
32:40 - How to improve it further?
34:55 - My 2 things to try for improving the score
35:15 - Ending & my thoughts on Kaggle

All Rights Belong To Sony Pictures

Deeplearning4j is one of the few libraries that allows you to train your net over a distributed, multi-node cluster. The library provides an Iterative Map-Reduce procedure as well as a set of tools for configuring a Deep Net using hyper-parameters.

Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv

The Deeplearning4j Java library was created by Adam Gibson in response to the lack of distributed, multi-node capabilities in other Deep Net libraries. Deeplearning4j can run on both Scala and Clojure, and it provides built-in GPU support for a distributed framework. You can also use the library to set up a deep net by configuring its hyper-parameters.

Deeplearning4j supports nearly every type of deep net, including the MLP, RBM/DBN, Convolutional Net, Recurrent Net, RNTN, and autoencoders. In addition, the Canova vectorization library is included with the package.

How does the Iterative Map-Reduce procedure differ from standard Map-Reduce? In Deeplearning4j, there are two different steps:

- MAP: Input data is distributed throughout the cluster, with every node receiving a different portion of the data. Each node begins training with its input set.
- REDUCE: After training, the parameters of all the nets are averaged. Every node overwrites its net’s parameters with this global average.

These two steps are repeated iteratively until the error is sufficiently small.

Have you ever trained a deep net over a distributed architecture? Please comment and share your experiences.

Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal

What if you want to leverage the power of GPT-3, but don't want to wait for Open-AI to approve your application? Introducing GPT-Neo, an open-source Transformer model that resembles GPT-3 both in terms of design and performance.In this video, we'll discuss how to implement and train GPT-Neo with just a few lines of code.

We'll use Happy Transformer to implement GPT-Neo. Happy Transformer is an open-source Python library build on top of Hugging Face's Transformer library to allow programmers to implement state-of-the-art NLP models with just a few lines of code.

Thank you Eleuther AI for creating and training GPT-Neo.

New Course on how to create a web app to display GPT-Neo: https://www.udemy.com/course/n....lp-text-generation-p

Article: https://www.vennify.ai/gpt-neo-made-easy/

Colab: https://colab.research.google.....com/drive/1Bg3hnPOoy

Website: https://www.vennify.ai/

LinkedIn business: www.linkedin.com/company/69285475

LinkedIn personal: https://www.linkedin.com/in/ericfillion/

Support Happy Transformer by giving it a star: https://github.com/EricFillion/happy-transformer

Happy Transformer's website: https://happytransformer.com/

Read my latest content, support me, and get a full membership to Medium by signing up to Medium with this link: https://medium.com/@ericfillion/membership

Music: www.bensound.com

Fine-tuning larger models can be tricky on consumer hardware. In this video I go over why its better to use large models for fine-tuning vs smaller models, I go over the issue with the naive approach to fine-tuning, and finally, I go over how to use DeepSpeed to successfully fine-tune even the largest GPT Neo model.

Notebook Git repo: https://github.com/mallorbc/GP....T_Neo_fine-tuning_no
finetuning repo: https://github.com/Xirider/finetune-gpt2xl
DeepSpeed repo: https://github.com/microsoft/DeepSpeed
happy transformers: https://happytransformer.com/
GPT article with images: https://towardsdatascience.com..../gpt-3-the-new-might

Timestamps

00:00 - Intro
00:36 - Background on fine-tuning
02:41 - Setting up Jupyter
05:17 - Incorrect naive fine-tuning method
10:02 - Correctly fine-tuning with DeepSpeed
15:35 - Fine-tuning the 2.7B model
16:35 - Fine-tuning the 1.3B model
17:55 - Looking at the README
20:08 - Outro and future work

Apna Bana Le Video Song 4k 60fps- Bhediya | Varun Dhawan, Kriti Sanon, Arijit Singh & Sachin-Jigar

Apna Bana Le Lyrics:
Tu Mera Koyi Na
Hoke Bhi Kuchh Laage
Tu Mera Koyi Na
Hoke Bhi Kuchh Laage

Kiya Re Jo Bhi Toone
Kaise Kiya Re
Jiya Ko Mere Baandh
Aise Liya Re

Samajh Ke Bhi Na
Samajh Main Sakun

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Tu Sooraj Laage
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Tu Mera Koyi Na
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Dil Ke Nagar Mein
Shehar Tu Basa Le Piya

Chhoone Se Tere
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Feeki Ruton Ko Rang Lage

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Teri Disha Mein Kyun Chalne Se Mere
Pairon Ko Pankh Lage
Raha Na Mere Kaam Ka Jag Saara
Haan Bas Tere Naam Se Hi Guzaara

Ulajh Ke Yoon Na
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Zubaaniyan Teri
Jhoothi Bhi Sach Laage
Tu Mera Koyi Na
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Apna Bana Le Piya
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Mujhko Chhuda Le
Apna Bana Le
Bas Apna Bana Le

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#4ksong #4kVideoSong #60fpsVideoSong #4k #60fps

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐏𝐲𝐭𝐡𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 (𝐔𝐬𝐞 𝐜𝐨𝐝𝐞 '𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎'): https://www.edureka.co/python-....programming-certific
This Edureka "Python for Beginners" session takes you through all the basic concepts that you should learn in Python. Learn to code in Python in under 1 hour. Watch this Python tutorial to get started with Python programming language.

Below are the topics covered in this Python for Beginners tutorial:
00:00 Introduction
00:57 What is Python
01:29 Why use Python
02:47 Getting Started with Python
03:33 Installing Python
06:45 Data Types and Variables in Python
12:35 Receiving Input in Python
15:02 String Operations in Python
19:36 Arithmetic Operators in Python
21:59 Operator Precedence
23:09 Comparison Operators in Python
24:43 Logical Operators in Python
27:01 If Statements in Python
30:40 While Loops in Python
33:40 Python Lists
36:35 List Methods in Python
39:15 For Loops in Python
41:21 Range Function in Python
42:55 Tuples in Python
44:33 Conclusion

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🌕 AWS Online Training: http://bit.ly/3ADYwDY
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🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.


Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

About the course :
What is Python?
Python is a widely used programming language that can be used for small and large-scale projects. Python allows you to seamlessly integrate web development with data analysis. Python's wide adoption is due in part to its standard library, accessibility, and support for multiple paradigms, such as procedural, functional and object-oriented programming styles. Python modules can interact with many databases making it an excellent choice to learn data science and machine-learning.

What if I miss any of the Python live classes?
"You will never miss a lecture at Edureka! You can choose either of the two options:
View the recorded session of the Python online class available in your LMS.
You can attend the missed python online training and certification session, in any other live batch."

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 is intended as a Crash Course on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for Beginners. 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 has been growing in popularity exponentially. But, 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 is still not known to many people. In this video, I aim to show you the different ways in which you can use 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for yourself.

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
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🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
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🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
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🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
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🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
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🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
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🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8



📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

AI robots, with Elon Musk, Boston Dynamics. To learn AI, visit: https://brilliant.org/digitalengine where you'll also find loads of fun courses on maths, science and computer science.

Sources:

Future of Life Institute AI discussion with Elon Musk:
https://www.youtube.com/watch?v=h0962biiZa4&t=1452s

AI Alignment study, OpenAI, Oxford and UC Berkeley:
https://twitter.com/RichardMCN....go/status/1603862969

Atlas gets a grip - Boston Dynamics:
https://youtu.be/-e1_QhJ1EhQ

OpenAI's ChatGPT:
https://openai.com/blog/chatgpt/

David Chalmers on Machine Learning Street Talk (great channel):
https://www.youtube.com/watch?v=T7aIxncLuWk

Volcanic lightning is making the world safer:
https://www.youtube.com/watch?v=Yc-2lfNNmWk

Ball lightning:
https://www.youtube.com/watch?v=_gOlQCI9Tgg

A message to artists about AI art, ChrissaBug:
https://www.youtube.com/watch?v=zx3ROK9nOYE

Study on the health cost of sitting down too much:
https://www.acpjournals.org/doi/10.7326/M17-0212

AI improves stroke recovery:
https://www.euronews.com/next/....2022/12/27/ai-techno

AI encodes clinical knowledge:
https://arxiv.org/abs/2212.13138?utm_source=substack&utm_medium=email

Elon Musks tweet on ChatGPT, with Altman’s response.
https://twitter.com/elonmusk/s....tatus/15991285770686

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This Logistic Regression video will help you understand how a Logistic Regression algorithm works in Machine Learning. You will learn what is Supervised Learning, what is a classification problem, and the maths behind Logistic Regression. In the end, you will see a demo on how to predict the number present in an image using Logistic Regression in Python.

Below topics are covered in this Logistic Regression Tutorial:
0:00 - 01:52 Introduction
01:52 - 05:35 What is Supervised Learning?
05:35 - 06:10 What is Classification?
06:10 - 15:49 What is Logistic Regression?
15:49 - 16:58 Comparing Linear and Logistic regression
16:58 - 18:40 Logistic regression applications
18:40 - 38:17 Use case - Predicting the number in an image


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What is Logistics Regression?
Logistic regression is a classification algorithm that is used to predict a binary outcome based on a set of independent variables. Logistic regression uses a logistic function to estimate the probability of a target variable belonging to a particular class or category. It assumes that the dependent variable is binary or dichotomous and there should be no or very little multicollinearity between the predictor variables. Logistic regression

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00:01:21 - Why DevOps?
00:11:21 - How DevOps works?
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In this video on openAI chatgpt 4o, we will be exploring the latest open ai model gpt4o, in this we will cover what is gpt40, how it different from the other gpt mode, chatgpt features demo like chitchatting with gpt, uploading image etc, at the end we will cover safety and limitations of gpt 4o.
GPT-4o is a big upgrade in OpenAI's smart tech. It's better at understanding and talking like a human than previous versions. It's super good at tasks like answering questions or writing stories. OpenAI keeps making it better. Now, it can even understand pictures! This makes it even more useful.

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00:00 Introduction To Open AI ChatGPT-4o
00:24 What Is Gpt 4o
02:21 How Gpt 4o is different from other models
02:44 Chatgpt 4o Demo Features
11:25 Safety and limitations of gpt 4o

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