Direct Preference Optimization (DPO) is a method used for training Large Language Models (LLMs). DPO is a direct way to train the LLM without the need for reinforcement learning, which makes it more effective and more efficient.
Learn about it in this simple video!

This is the third one in a series of 4 videos dedicated to the reinforcement learning methods used for training LLMs.

Full Playlist: https://www.youtube.com/playli....st?list=PLs8w1Cdi-zv

Video 0 (Optional): Introduction to deep reinforcement learning https://www.youtube.com/watch?v=SgC6AZss478
Video 1: Proximal Policy Optimization https://www.youtube.com/watch?v=TjHH_--7l8g
Video 2: Reinforcement Learning with Human Feedback https://www.youtube.com/watch?v=Z_JUqJBpVOk
Video 3 (This one!): Deterministic Policy Optimization

00:00 Introduction
01:08 RLHF vs DPO
07:19 The Bradley-Terry Model
11:25 KL Divergence
16:32 The Loss Function
14:36 Conclusion

Get the Grokking Machine Learning book!
https://manning.com/books/grok....king-machine-learnin
Discount code (40%): serranoyt
(Use the discount code on checkout)

What is the difference between generative ai and ai agents and agentic AI system? Let's understand it in a very simple, intuitive language.

Langgraph tutorial: https://youtu.be/CnXdddeZ4tQ?si=rkrOziDj4y_dQo4-
AI bootcamp with HR assistant agentic system: https://codebasics.io/bootcamp....s/ai-data-science-bo

👉 Check out PyCharm, the IDE built for data science and AI/ML professionals: https://jb.gg/try-pycharm-now
👉 Free 3-Month PyCharm Pro subscription with coupon code “PyCharm2codebasics”: https://jb.gg/pc_codebasics
Redeem on new purchases before Feb 01, 2026

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.

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣

🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk
📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/
📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/

------

📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/
📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/

📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/
📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/

🔗 Patreon: https://www.patreon.com/codeba....sics?fan_landing=tru

🔥 Edureka Data Science Master Program Training Certification (Use Code: YOUTUBE20) : https://www.edureka.co/masters....-program/data-scient
This Edureka video on 'How to become a Data Scientist' will give you an insight into why the data scientist job is in such a high demand. It then elaborates on different roles and responsibilities of a Data Scientist and what skills are required to fulfill those roles and responsibilities. Then, it build a roadmap that you can follow to become a Data Science Wizard (i.e. Data Scientist) and also it briefly provides you with a sense of how much time it takes to go through the roadmap. The video ends with some incredibly useful resources and courses to help you achieve your goal of becoming a Data Scientist.

00:00:00 Agenda
00:01:28 Why Become a Data Scientist?
00:03:58 What does a Data Scientist do?
00:07:14 Skills Required
00:09:50 How to become a Data Scientist?
00:18:35 Useful Resources

Following pointers are covered in this How to Become an AI Engineer:
1) Why become a Data Scientist?
2) What does a Data Scientist do?
3) Skills required
4) How to become a Data Scientist
5) Useful Resources

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

Check out Edureka's Data Science Blog & Tutorial Series to learn more concepts of Data Science:

✅Blog Series: http://bit.ly/data-science-blogs
✅Data Science Tutorial Playlist: http://bit.ly/3tdteya

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

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/


#Edureka #DataScience #DataScientistRoadmap #DataScienceCareer #DataScienceCertification #DataScienceTraining #DataScienceMasterProgram #WhatIsDataScience #DataScienceIn2021 #DataScienceCourse #DataScienceEdureka #EdurekaTraining

------------Edureka Online Training and Certification-----------

🔵Data Science Online Training: https://bit.ly/2NCT239
🔵AWS Online Training: https://bit.ly/2ZnbW3s
🔵DevOps Online Training: https://bit.ly/2BPwXf0
🟣Python Online Training: https://bit.ly/2CQYGN7
🟣RPA Online Training: https://bit.ly/2Zd0ac0
🟣Big Data Online Training: https://bit.ly/3g8zksu
🔵Java Online Training: https://bit.ly/31rxJcY
🟣Selenium Online Training: https://bit.ly/3dIrh43
🔵PMP Online Training: https://bit.ly/3dJxMTW
🟣Tableau Online Training: https://bit.ly/3g784KJ

-----------Edureka Masters Programs--------------

🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

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

About the Master's Program

This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands-on expertise. By the end of the program, you will be ready for seasoned Data Science job roles.

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

Why should I enroll for the Masters Program?

The Data Scientist Masters Program has been curated after thorough research and recommendations from industry experts. It will help you master concepts of Data Management, Statistics, Machine Learning and Big Data together with hands-on experience of tools & systems used by Data Scientists including Data Visualisation using Tableau. Edureka will be by your side throughout the learning journey - We’re Ridiculously Committed.

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

What are the prerequisites for enrollment?

There are no prerequisites for enrollment to the Masters Program. Whether you are an experienced professional working in the IT industry, or an aspirant planning to enter the world of Data Scientist, Masters Program is designed and developed to accommodate various professional backgrounds.

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

How long will it take me to be a Certified Data Science professional?

The recommended duration to complete this program is 34 weeks, however, it is up to the individual to complete this program as per their own pace

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

Uploaded in 4K UHD, HDR, and Dolby Atmos to provide the highest viewing quality. You must have an HDR-capable screen to view HDR video, otherwise, YouTube will automatically show you SDR.

I started the clip very early to give context about the grim state of the battlefield and the arrival of the Rohirrim as all hope seemed lost. Montage and edit from the December 1, 2020 release in 4K Ultra HD Blu-Ray with Dolby Atmos 5.1 audio. The coloring has been totally remastered by film director Peter Jackson to get a consistent look throughout all of the movies.

Director Peter Jackson's quote about the re-release: "The thing with 4K is not just to go for pristine sharpness, it is to preserve the cinematic look of it at the same time as everything becoming crisp."

The quality of this release is incredible. The visuals are gorgeous and it is worth it to watch all extended editions of the movies over again!

Respective owners of filmed content: New Line Cinema, Warner Brothers. No copyright infringement intended, just a humble fan that thinks this incredible scene should be on YouTube under fair use. Footage from Lord of the Rings Return of the King Extended Edition.

Training a large-scale deep net is a computationally expensive process, and common CPUs are generally insufficient for the task. GPUs are a great tool for speeding up training, but there are several other options available.

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

A CPU is a versatile tool than can be used across many domains of computation. However, the cost of this versatility is the dependence on sophisticated control mechanisms needed to manage the flow of tasks. CPUs also perform tasks serially, requiring the use of a limited number of cores in order to build in parallelism. Even though CPU speeds and memory limits have increased over the years, a CPU is still an impractical choice for training large deep nets.

Vector implementations can be used to speed up the deep net training process. Generally, parallelism comes in the form of both parallel processing and parallel programming. Parallel processing can either involve shared resources on a single computer, or distributed computing across a cluster of nodes.

The GPU is a common tool for parallel processing. As opposed to a CPU, GPUs tend to hold large numbers of cores – anywhere from 100s to even 1000s. Each of these cores is capable of general purpose computing, and the core structure allows for large amounts of parallelism. As a result, GPUs are a popular choice for training large deep nets. The Deep Learning community provides GPU support through various libraries, implementations, and a vibrant ecosystem fostered by nVidia. The main downside of a GPU is the amount of power required to run one relative to the alternatives.

The “Field Programmable Gate Array”, or FPGA, is another choice for training a deep net. FPGAs were originally used by electrical engineers to design mock-ups for different computer chips without having to custom build a chip for each solution. With an FPGA, chip function can be programmed at the lowest level – the logic gate. With this flexibility, an FPGA can be tailored for deep nets so as to require less power than a GPU. Aside from speeding up the training process, FPGAs can also be used to run the resultant models. For example, FPGAs would be useful for running a complex convolutional net over thousands of images every second. The downside of an FPGA is the specialized knowledge required during design, setup, and configuration.

Another option is the “Application Specific Integrated Circuit”, or ASIC. ASICs are highly specialized, with designs built in at the hardware and integrated circuit level. Once built, they will perform very well at the task they were designed for, but are generally unusable in any other task. Compared to GPUs and FPGAs, ASICs tend to have the lowest power consumption requirements. There are several Deep Learning ASICs such as the Google Tensor Processing Unit (TPU), and the chip being built by Nervana Systems.

There are a few parallelism options available with distributed computing such as data parallelism, model parallelism, and pipeline parallelism. With data parallelism, different subsets of the data are trained on different nodes in parallel for each training pass, followed by parameter averaging and replacement across the cluster. Libraries like TensorFlow support model parallelism, where different portions of the model are trained on different devices in parallel. With pipeline parallelism, workers are dedicated to tasks, like in an assembly line. The main idea is to ensure that each worker is relatively well-utilized. A worker starts the next job as soon as the current one is complete, a strategy that minimizes the total amount of wasted time.

Parallel programming research has been active for decades, and many advanced techniques have been developed. Generally, algorithms should be designed with parallelism in mind in order to take full advantage of the hardware. One such way to do this is to decompose the data model into independent chunks that each perform one instance of a task. Another option is to group all the tasks by their dependencies, so that each group is completely independent of the others. As an addition, you can implement threads or processes that handle different task groups. These threads can be used as a standalone solution, but will provide significant speed improvements when combined with the grouping method. To learn more about this topic, follow this link to the Open HPI Massive Open Online course (MOOC) on parallel programming - https://open.hpi.de/courses/parprog2014.

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

With the MVTec Deep Learning Tool it’s possible to train a deep-learning-based classification model from scratch. First, we import images of your application – using the folder structure, the Deep Learning Tool can assign labels automatically. We can then easily review our data by filtering the images according to these labels. After that, we train the model using transfer learning and pretrained networks provided by MVTec. Lastly, we can review the trained model in detail, using a confusion matrix, heatmaps and more. In this video, version 0.5 of the Deep Learning Tool is used. The exported trained model including the associated dictionary, which contains the preprocessing parameters, can be imported into HDevelop and MERLIC and then used for inference.

In this video, version 0.5 of the Deep Learning Tool is used.

Get more information at https://www.mvtec.com/products/deep-learning-tool/

This video explains the Transformer architecture in a very detailed way, including most math formulas in the paper, and the neural network operations behind it. The Transformer is the foundation of many powerful language models like BERT, GPT3, RoBERTa, XLNET, ELECTRA, T5. Understanding how it works in detail might help you modify, optimize, or improve it in the way you want.


Connect
Linkedin https://www.linkedin.com/in/xue-yong-fu-955723a6/
Twitter https://twitter.com/home
Email [email protected]

0:00 - Intro
1:10 - Architecture overview
1:56 - Encoder
3:58 - Residual connection & layer normalization
6:59 - Decoder
11:14 - Attention mechanism
14:30 - Scaled dot-product attention
20:22 - Learned projection layers
26:32 - Multi-head attention
28-39 - Encoder-decoder attention
31:18 - Encoder self-attention
31:34 - Decoder self-attention
33:58 - Position-wise feedforward network
36:41 - Word embedding
39:34 - Positional encoding
47:37 - Why self-attention

What Is GPT-3 Series
https://www.youtube.com/playli....st?list=PLoS8jSwcU-c

Paper: Attention Is All You Need
https://arxiv.org/abs/1706.03762

Abstract
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best
performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 English- to-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.0 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature. We show that the Transformer generalizes well to other tasks by applying it successfully to English constituency parsing both with large and limited training data.

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐲𝐒𝐐𝐋 𝐃𝐁𝐀 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/mysql-dba (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on 'SQL Basics for Beginners will help you understand the basics of SQL and also SQL queries which are very popular and essential. In this SQL Tutorial for Beginners, you will learn SQL from scratch with examples. The following topics have been covered in this SQL tutorial:
00:00:00 Introduction
00:00:32 Agenda
00:00:54 Introduction to SQL
00:02:26 Features of SQL
00:03:41 Data & Database
00:07:55 Table
00:11:02 Basic SQL Queries
00:11:46 SELECT
00:12:33 WHERE
00:13:06 AND, OR, NOT
00:15:04 INSERT INTO
00:16:06 AGGREGATE FUNCTIONS
00:18:53 GROUP BY, HAVING, ORDER BY
00:21:26 NULL
00:22:57 UPDATE & DELETE
00:24:26 IN & BETWEEN OPERATORS
00:25:51 ALIASES IN SQL

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

🔴 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
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 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
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 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

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌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/

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

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

❤️ Check out Anyscale and try it for free here: https://www.anyscale.com/papers

📝 The paper "#GPT-4 Technical Report" is available here:
https://cdn.openai.com/papers/gpt-4.pdf

More here:
https://openai.com/product/gpt-4

App development: https://twitter.com/zaid/statu....s/163736539552613171
The most beautiful sentence: https://reddit.com/r/ChatGPT/c....omments/121t9b4/the_
Doggy: https://twitter.com/peakcooper..../status/163971682268
Safe code: https://twitter.com/moyix/stat....us/16425874103692656
Finds security holes: https://twitter.com/feross/sta....tus/1641548124366987
App design: https://www.usegalileo.ai

📝 Paper with caustics:
https://users.cg.tuwien.ac.at/....zsolnai/gfx/adaptive

My latest paper on simulations that look almost like reality is available for free here:
https://rdcu.be/cWPfD

Or this is the orig. Nature Physics link with clickable citations:
https://www.nature.com/articles/s41567-022-01788-5

🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi.
If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers

Thumbnail background design: Felícia Zsolnai-Fehér - http://felicia.hu

Károly Zsolnai-Fehér's links:
Twitter: https://twitter.com/twominutepapers
Web: https://cg.tuwien.ac.at/~zsolnai/

NEWSLETTER ✉️ http://DylanCurious.com
PATREON 💰 https://patreon.com/DylanCurious (Monthly Video Call)

In today's episode, we're charting the course of Artificial General Intelligence (AGI) as of June 2023, guided by the timeline presented by AI expert Dr. Alan D. Thompson.

A critical turning point came in 2017, with the birth of the attention mechanism by Google researchers, paving the way for the creation of Transformers. These are the foundation of powerful AI models like GPT, and according to Dr. Thompson, we're about halfway to achieving AGI from here.

The period between 2017 and 2023 has been rich with major AI advancements, each one a stepping stone on our path to AGI. These include our deeper understanding of GPT-3's capabilities, innovative applications of AI in microchip design, and the emergence of multitasking models like DeepMind's Gato.

By 2020, we had made roughly 30% progress towards AGI, nudging up to 31% by 2021. Significant leaps, like the unveiling of GPT-3's remarkable abilities and the use of AI in hardware design, were clear indicators of this progress. In May 2022, the introduction of DeepMind's Gato model propelled us to 39% completion, thanks to its impressive capabilities and the demonstration of human-like general intelligence.

As 2022 came to a close, progress continued with developments in autonomous AI systems and AI-assisted human tasks. Into 2023, we saw AGI estimates rise to 41%, largely due to Microsoft's innovative use of ChatGPT in operating robotic components. The introduction of Google's PaLM-E 562B, capable of planning its own future based on visual and language data, took AGI estimates up to 42%.

The launch of the even more powerful GPT-4 model and the integration of AI into robotics have substantially fast-tracked our journey towards AGI. Stay tuned to "Curious Future" for more updates on the fascinating world of AI, and don't forget to subscribe for the latest in AI, technology, and innovation.

CURIOUS FUTURE: @dylan_curious
↪ https://www.youtube.com/channe....l/UCpdyFxSktWo3W6kMY

CURIOUS PODCAST: @dontsweatitpod
↪ https://www.youtube.com/channe....l/UChChPrDzfifYB9Si1

CURIOUS FRIENDS: @vegasfriends
↪ https://www.youtube.com/channe....l/UCJ2Q3smwCLmbEDDA3

00:00 - Artificial General Intelligence, 50% Complete: Fact or Fiction?
00:42 - Did Google’s Invention of the Transformers Take Us 20% of the Way to AGI?
01:23 - 30% to AGI in 2020? Unraveling the AI Progress Debate
02:24 - AI Designing AI: The 31% Milestone Towards AGI in 2021
03:14 - DeepMind’s Gato Model: The Super Multitasker Pushing AGI to 39%?
03:48 - We Are 39% Of The Way To AGI: Unraveling Antropic’s Human Reinforcement Method
04:55 - Microsoft’s ChatGPT Pushed Us 41% Closer To AGI
05:49 - AGI at 42%: After Google’s PaLM-E 562B’s Shows Adaptive Abilities
07:19 - AGI at 48%: What Does this Mean for AI’s Future?
08:43 - Humans at 94%, AI at 90.9% | AGI Progress Is Moving Fast
09:37 - 2 Milestone To Look For Before AGI Arrives On Earth

SOURCES:
https://lifearchitect.ai/agi/
https://ai.googleblog.com/2017..../08/transformer-nove
https://www.youtube.com/watch?v=HrV19SjKUss&t=175s&ab_channel=MachineLearningStreetTalk
@MachineLearningStreetTalk
https://www.theverge.com/2021/....6/10/22527476/google
https://www.nature.com/articles/s41586-021-03544-w
https://lifearchitect.ai/the-sky-is-on-fire/
https://www.youtube.com/watch?v=6fWEHrXN9zo&list=PLqJbCeNOfEK-o63ACEKEbwE6-XpEXXS_I&ab_channel=DrAlanD.Thompson
https://en.wikipedia.org/wiki/Gato_(DeepMind)
https://www.deepmind.com/publi....cations/a-generalist
@DrAlanDThompson
https://developer.nvidia.com/b....log/designing-arithm
https://www.microsoft.com/en-u....s/research/group/aut
https://www.youtube.com/watch?v=wLOChUtdqoA&ab_channel=MicrosoftAutonomousSystems%26RoboticsResearch
@msftautonomoussys
https://palm-e.github.io/
https://arxiv.org/abs/2303.12712
https://www.youtube.com/watch?v=XyCKe3rrYik&ab_channel=STrucBot
https://www.fastcompany.com/90....889271/boston-dynami
https://tidybot.cs.princeton.edu/
https://www.youtube.com/watch?v=Vq_DcZ_xc_E&ab_channel=AgilityRobotics
@Structon
@AgilityRobotics

WATCH THE FULL VIDEO ⤵
https://www.youtube.com/watch?v=xyzY3cj7tTA

#ai #artificialintelligence #tech #agi #gpt3 #gpt4 #deepmind #chatgpt #robotics #google #microsoft #machinelearning #autonomousai #palm-e562b #gato #transformers #futuretech #innovation #aitechnology #aitimeline #curiousfuture #alanthompson #artificialgeneralintelligence #aidesign #aipredictions #aiadvancements #aiupdates

The truth, with photons.
I hope I've articulated everything clearly in this video. If not, I'll clarify in comments. Thanks to everyone who appears in this video and thanks to everyone who watches this video!

Veritasium is of course a combination of the latin 'veritas' meaning truth, and the common element ending 'ium'. I guess this is my version of the 'draw my life' craze that rolled through YouTube many years ago. Except I wanted to tell my story with the actual moments, the photons, the stored magnetic states. There's something about that which is so important to me (because I think the alternative involves fooling yourself) which is why I'm so fascinated by film and video.

One of my inspirations for the name Veritasium came from the end of the poem Ode on a Grecian Urn by John Keats, in which he writes:
"Beauty is truth, truth beauty,—that is all
Ye know on earth, and all ye need to know."

Special thanks to Patreon supporters:
Tony Fadell, Donal Botkin, Michael Krugman, Jeff Straathof, Zach Mueller, Ron Neal, Nathan Hansen, Yildiz Kabaran,
Terrance Snow, Stan Presolski

Music from http://epidemicsound.com
Magnified X1 - Gunnar Johnsen
Fluorescent Lights - Martin Gauffin
Dissolving Patterns - Ebb & Flod
Luna - Ebb & Flod

Additional music by Kevin MacLeod: http://incompetech.com
Sneaky Snitch

In this video, we dive deep into Generative AI, exploring the power of Large Language Models like ChatGPT. Discover how these advanced models generate human-like text and uncover their possibilities for various applications. Want to learn more about it? Visit our blog for an in-depth exploration of Generative AI, LLMs, and ChatGPT's capabilities! https://bit.ly/3WXuHIi

#artificialintelligence #generativeai #largelanguagemodels #gpt #chatgpt #deeplearning #machinelearning #explainervideo #simpleshow

simpleshow website: https://simpleshow.com/

LinkedIn: https://www.linkedin.com/company/simpleshow

Facebook: https://www.facebook.com/simpleshow/

Instagram: https://www.instagram.com/simpleshow/

X: https://twitter.com/simpleshow/

#ai #artificialintelligence #chatgpt #midjourney #llm #largelanguagemodels #largelanguagemodel

This is a short and very simple video I created to explain some of the concepts that go into large language models like Chat-GPT4. It covers various aspects of LLM artificial intelligence like foundations, architecture, pre-training, fine-tuning, tokenization, embeddings, self-attention, positional encoding, layers and headers, and decoding. The text was created with the use of chat gpt4. All of the images were created using Midjourney AI based on the text.

El Deep Learning ha cambiado el mundo en sólo una década y hoy os contaré cómo esta rama de la informática podría seguir evolucionando. Y lo haremos desde el comienzo, con las redes neuronales más sencillas hasta Google Gemini, la futura promesa de Google DeepMind, pasando eso sí por los enormes modelos fundacionales como ChatGPT. ¡Bienvenidos a la nueva temporada de DotCSV!

📹 EDICIÓN: Carlos Santana y Diego Gonzalez (Diocho)

--- ¡MÁS DOTCSV! ----

📣 NotCSV - ¡Canal Secundario!
https://www.youtube.com/c/notcsv
💸 Patreon : https://www.patreon.com/dotcsv
👓 Facebook : https://www.facebook.com/AI.dotCSV/
👾 Twitch!!! : https://www.twitch.tv/dotcsv
🐥 Twitter : https://twitter.com/dotCSV
📸 Instagram : https://www.instagram.com/dotcsv/

-- ¡MÁS CIENCIA! ---

🔬 Este canal forma parte de la red de divulgación de SCENIO. Si quieres conocer otros fantásticos proyectos de divulgación entra aquí:

http://scenio.es/colaboradores

🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=JT4uOOze0hU&utm_medium=DescriptionFirstFold&utm_source=Youtube

In this video, we dive into the exciting world of selling digital products online! We’ll start by explaining What Digital Products are and Why they’re a fantastic choice for generating income. Then, we’ll guide you on Where to sell your digital products to maximize your reach. You’ll also discover the Top 5 digital products that are currently in high demand. After that, we’ll show you How to create and sell your digital products step-by-step, making it easy for you to launch your own digital product business. Finally, we’ll wrap up with some essential tips to boost your sales and grow your business. Whether you’re just starting out or looking to refine your strategy, this video has everything you need to succeed.

00:00:04 - Introduction to Digital Products to sell online
00:02:05 - What are Digital Products?
00:02:53 - Why Sell Digital Products?
00:04:27 - Where to Sell Digital Products ?
00:05:09 - Generating Guides
00:05:56 - Logo Design
00:06:30 - Business Cards
00:06:56 - Resume Templates
00:07:36 - Product Mockups
00:08:12 - How to Create and Sell Digital Products?
00:10:27 - Tips to Sell Digital Products Online?

✅What is the best selling Digital Product?
Basically, there is no particular answer to this as there are various digital products doing great in the market like online courses, ebooks,digital templates and tool,product photography etc.
✅Is selling digital products a good idea?
Yes it is a great idea . It ensures you passive income with minimum investment and a lot use of future technologies.
✅ Is digital marketing a risky career?
Not at all. Among all the careers in the market, digital marketing is booming and has a secured future. It is recession free and one can touch the pinaccle of success in the field.

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

#digitalmarketing #aimarketing #aimarketingtools #aimarketingtodayupdate #simplilearn #2024

➡️ 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.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=JT4uOOze0hU&utm_medium=Description&utm_source=youtube

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=VfxTH3U7-ns&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=VfxTH3U7-ns&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=VfxTH3U7-ns&utm_medium=DescriptionFirstFold&utm_source=Youtube

The Gen AI Full Course 2025 By Simplilearn covers various concepts of Generative AI, starting with an Introduction to Artificial Intelligence and the concept of Generative AI. It outlines a roadmap to becoming a Gen AI Engineer, focusing on essential tools like OpenAI ChatGPT models and AI career options. The course dives deep into Deep Learning, Search GPT, LangChain, and OpenAI Sora. It includes tutorials on Generative Adversarial Networks (GANs), Transformers, LSTM, LLMs, and Machine Learning fundamentals. Advanced topics include Reinforcement Learning, Recurrent Neural Networks, ChatGPT analysis, LLM Benchmarking, and Open AI Strawberry. The course provides hands-on insights into GAN applications, Transformer models, and neural networks essential for Gen AI professionals.

Following are the Topics covered in this Gen AI Full Course 2025 By Simplilearn

00:00:00 Introduction to Gen AI Full Course
00:08:08 What is Artificial Intelligence
00:08:53 What is Generative AI
00:19:32 Roadmap to become a Gen AI Engineer
00:33:07 Gen ai tools for job interview
00:48:31 Open ai chatgpt o1 model
00:50:21 AI Careers to explore
01:04:02 Deep Learning Tutorial
01:12:19 Search GPT Tutorial
01:14:34 Langchain Tutorial
01:37:28 Openai sora Tutorial
02:22:05 Generative Adversarial Tutorial
02:31:27 What are GANS
02:32:28 Transformers in AI
02:44:57 LSTM Tutorial
02:46:21 Large Language Models Tutorial
03:47:34 What is Machine Learning
04:44:06 Machine Learning Tutorial
06:49:29 Reinforcement Learning Tutorial
10:12:12 Recurrent Neural Network Tutorial
10:32:03 ChatGPT analyze Tutorial
10:40:56 LLM Benchmarking Tutorial
10:46:38 Open AI Strawberry Tutorial

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition
✅ Reinforcement Learning
✅ Academic Masterclass
✅ Industry Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=VfxTH3U7-ns&utm_medium=Description&utm_source=Youtube