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Vizuara
เข้าร่วมเมื่อ 23 พ.ย. 2021
We are team Vizuara, a fast-growing Indian startup backed by MIT, that is revolutionizing AI education (www.vizuara.ai).
Vizuara is founded by alumni from IIT Madras, MIT, and Purdue University.
For questions, please email hello@vizuara.com.
Vizuara is founded by alumni from IIT Madras, MIT, and Purdue University.
For questions, please email hello@vizuara.com.
Text Clustering using Sentence Transformers | Hands on Project on ArXiV research paper abstracts
In this lecture, we implement language models to perform text clustering on ArXiV research paper abstracts.
We use a combination of:
(1) Sentence Transformer for embedding documents
(2) Using UMAP for dimensionality reduction
(3) Clustering the reducing embeddings using HDBScan
(4) Inspecting the clusters.
Code file: colab.research.google.com/drive/1wL2gErDZS9z586-XtUqLTU6GZzuywRMO?usp=sharing
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✉️ Join our FREE Newsletter: vizuara.ai/our-newsletter/
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Vizuara philosophy:
As we learn AI/ML/DL the material, we will share thoughts on what is actually useful in industry and what has become irrelevant. We will also share a lot of information on which subject contains open areas of research. Interested students can also start their research journey there.
Students who are confused or stuck in their ML journey, maybe courses and offline videos are not inspiring enough. What might inspire you is if you see someone else learning and implementing machine learning from scratch.
No cost. No hidden charges. Pure old school teaching and learning.
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🌟 Meet Our Team: 🌟
🎓 Dr. Raj Dandekar (MIT PhD, IIT Madras department topper)
🔗 LinkedIn: www.linkedin.com/in/raj-abhijit-dandekar-67a33118a/
🎓 Dr. Rajat Dandekar (Purdue PhD, IIT Madras department gold medalist)
🔗 LinkedIn: www.linkedin.com/in/rajat-dandekar-901324b1/
🎓 Dr. Sreedath Panat (MIT PhD, IIT Madras department gold medalist)
🔗 LinkedIn: www.linkedin.com/in/sreedath-panat-8a03b69a/
🎓 Sahil Pocker (Machine Learning Engineer at Vizuara)
🔗 LinkedIn: www.linkedin.com/in/sahil-p-a7a30a8b/
🎓 Abhijeet Singh (Software Developer at Vizuara, GSOC 24, SOB 23)
🔗 LinkedIn: www.linkedin.com/in/abhijeet-singh-9a1881192/
🎓 Sourav Jana (Software Developer at Vizuara)
🔗 LinkedIn: www.linkedin.com/in/souravjana131/
We use a combination of:
(1) Sentence Transformer for embedding documents
(2) Using UMAP for dimensionality reduction
(3) Clustering the reducing embeddings using HDBScan
(4) Inspecting the clusters.
Code file: colab.research.google.com/drive/1wL2gErDZS9z586-XtUqLTU6GZzuywRMO?usp=sharing
=================================================
✉️ Join our FREE Newsletter: vizuara.ai/our-newsletter/
=================================================
Vizuara philosophy:
As we learn AI/ML/DL the material, we will share thoughts on what is actually useful in industry and what has become irrelevant. We will also share a lot of information on which subject contains open areas of research. Interested students can also start their research journey there.
Students who are confused or stuck in their ML journey, maybe courses and offline videos are not inspiring enough. What might inspire you is if you see someone else learning and implementing machine learning from scratch.
No cost. No hidden charges. Pure old school teaching and learning.
=================================================
🌟 Meet Our Team: 🌟
🎓 Dr. Raj Dandekar (MIT PhD, IIT Madras department topper)
🔗 LinkedIn: www.linkedin.com/in/raj-abhijit-dandekar-67a33118a/
🎓 Dr. Rajat Dandekar (Purdue PhD, IIT Madras department gold medalist)
🔗 LinkedIn: www.linkedin.com/in/rajat-dandekar-901324b1/
🎓 Dr. Sreedath Panat (MIT PhD, IIT Madras department gold medalist)
🔗 LinkedIn: www.linkedin.com/in/sreedath-panat-8a03b69a/
🎓 Sahil Pocker (Machine Learning Engineer at Vizuara)
🔗 LinkedIn: www.linkedin.com/in/sahil-p-a7a30a8b/
🎓 Abhijeet Singh (Software Developer at Vizuara, GSOC 24, SOB 23)
🔗 LinkedIn: www.linkedin.com/in/abhijeet-singh-9a1881192/
🎓 Sourav Jana (Software Developer at Vizuara)
🔗 LinkedIn: www.linkedin.com/in/souravjana131/
มุมมอง: 32
วีดีโอ
Use Side Lane | Stack
มุมมอง 3715 ชั่วโมงที่ผ่านมา
In this video, we solve the problem "Use Side Lane." We determine if it is possible to reorder trucks numbered from 1 to N into the correct sequence using a side lane. Time Complexity: O(n), as each truck is processed once. Space Complexity: O(n), for the stack representing the side lane. Stay tuned for more tutorials as we continue our journey to help you crack job interviews with key data str...
Physics behind ChatGPT
มุมมอง 31716 ชั่วโมงที่ผ่านมา
If you want to join our AI courses and live bootcamp, fill this waitlist for discounted coupon codes: forms.gle/KDnG8L7TRkXnThgq8 All courses will be taught live and will start on January 2025. Link to the live bootcamp and courses (all details about the content is provided here): vizuara.ai/spit/ In this video, we will learn about the physics behind ChatGPT. The video is divided into the follo...
SQL Masterclass | Milestone Project | Create library software using python and SQL
มุมมอง 6018 ชั่วโมงที่ผ่านมา
Welcome to the milestone project of the SQL Masterclass! 🎓 In this video, we’ll create a Library Management System using Python and SQL. This hands-on project will help you apply database concepts, SQL queries, and Python integration to build real-world software. What You'll Learn: ✅ Setting up a database for the library. ✅ Designing tables for books, members, and transactions. ✅ CRUD operation...
SQL connect with R | SQL Masterclass | SQL R Data Visualization
มุมมอง 722 ชั่วโมงที่ผ่านมา
In this lecture, we explore how to connect SQL with R using the DBI and RPostgres libraries, focusing on real-world workflows. We’ll import the DVD Rental dataset and perform data visualization using libraries like ggplot2 to analyze the data effectively. This lecture provides insights into how data is imported, processed in production environments, and utilized for visualization, reflecting re...
Dataloaders in LLM Classification Finetuning | Python Coding | Hands on LLM project
มุมมอง 1702 ชั่วโมงที่ผ่านมา
In this lecture, we continue making progress in the LLM Classification finetuning project. We learn about datasets and dataloaders. Finally, we implement dataloaders for the training, testing and validation datasets to efficiently manage the data. 0:00 Recap of classification finetuning 3:33 Datasets and Dataloaders introduction 5:54 Equal text length for all data samples 8:26 End of text paddi...
Foundations for Machine Learning | Bayes Theorem - Intuition and basics
มุมมอง 5102 ชั่วโมงที่ผ่านมา
Bayes’ Theorem: A Powerful Tool for Decision-Making Bayes’ Theorem is a cornerstone of probability theory, helping us update beliefs when new evidence is introduced. It is not just about the math-it is about intuition. Let me illustrate this with a real-world example. Imagine a mammogram test for breast cancer: -1% of women in a population have breast cancer. -The test detects cancer correctly ...
Probability and Statistics for Machine Learning | Conditional Probability and Bayes’ Theorem | Hindi
มุมมอง 1714 ชั่วโมงที่ผ่านมา
Lecture 5: Probability and statistics form the backbone of machine learning and recommendation systems. A clear understanding of these foundational concepts is crucial for educators and professionals aiming to excel in AI and ML. What You’ll Learn in This Lecture: ✔️ Importance of probability and statistics in machine learning ✔️ Key concepts of probability, statistics, and set theory ✔️ Unders...
SQL connect with python | SQL Masterclass | SQL Python Data Visualization
มุมมอง 1304 ชั่วโมงที่ผ่านมา
In this lecture, we explore how to connect SQL with Python using the psycopg2 library, focusing on real-world workflows. We’ll import the DVD Rental dataset and perform data visualization to analyze the data effectively. This lecture provides insights into how data is imported, processed in production environments, and utilized for visualization, reflecting real-life scenarios. This lecture hig...
Previous Smaller Element | Previous Greater Element
มุมมอง 354 ชั่วโมงที่ผ่านมา
In this video, we solve two stack problems: "Previous Smaller Element" and "Previous Greater Element." We also discuss similar problems you can solve, like "Next Greater Element" and "Next Smaller Element." Time Complexity: O(n) as each element is pushed and popped from the stack at most once. Space Complexity: O(n) for the stack used to store elements. Stay tuned for more tutorials as we conti...
Introduction to Data Science | Basics for Beginners | Julia language
มุมมอง 3154 ชั่วโมงที่ผ่านมา
The Art of Handline Data: Building Reliable Models with Julia In data science, the glamour often lies in complex algorithms and shiny predictions. But the unsung hero of any successful machine learning project is data cleaning-the often-overlooked first step that transforms messy, real-world data into a reliable foundation for insights. Today, I dove into this essential skill using Julia, a ris...
Using ChatGPT API for Movie Review Classification | Hands-on Project
มุมมอง 1737 ชั่วโมงที่ผ่านมา
In this lecture, we use ChatGPT API to perform the task of movie review classification. We use a pre-trained and fine-tuned RoBERTa based NLP based. Code file: colab.research.google.com/drive/17pS-sooV3UIB9OBssegZCl9l39HbpAcL?usp=sharing OpenAI platform: platform.openai.com/docs/overview Avoiding API Rate Limits error: platform.openai.com/docs/guides/rate-limits/error-mitigation ✉️ Join our FRE...
Introduction to Stack Data Structure | Python Implementation
มุมมอง 1677 ชั่วโมงที่ผ่านมา
In this video we have discussed what is stack and implement stack in python using a list and collections.deque. Stay tuned for more tutorials as we continue our journey to help you crack job interviews with key data structures. ✉️ Join our FREE Newsletter: vizuara.ai/our-newsletter/ 🌟 Meet Our Team: 🌟 🎓 Dr. Raj Dandekar (MIT PhD, IIT Madras department topper) 🔗 LinkedIn: www.linkedin.com/in/raj...
Deep Learning Optimization Bootcamp
มุมมอง 1K7 ชั่วโมงที่ผ่านมา
Do watch till the first 7 minutes to understand all about our free and paid bootcamps! If you want to join the paid AI courses and live bootcamp mentioned at the start of the video, fill this waitlist for discounted coupon codes: forms.gle/KDnG8L7TRkXnThgq8 All courses will be taught live and will start on January 2025. Link to the live bootcamp and courses (all details about the content is pro...
Foundations for Machine Learning | Intro to Conditional probability | Probability & Statistics
มุมมอง 6557 ชั่วโมงที่ผ่านมา
Foundations for Machine Learning | Intro to Conditional probability | Probability & Statistics
Setup your system for Machine Learning | Python for Beginners in Hindi
มุมมอง 1719 ชั่วโมงที่ผ่านมา
Setup your system for Machine Learning | Python for Beginners in Hindi
Introduction to LLM Finetuning | Python Coding with hands-on-example
มุมมอง 4599 ชั่วโมงที่ผ่านมา
Introduction to LLM Finetuning | Python Coding with hands-on-example
Introduction to Data Science for Beginners in Julia
มุมมอง 3279 ชั่วโมงที่ผ่านมา
Introduction to Data Science for Beginners in Julia
How to Approach Advanced SQL Question | SQL Masterclass
มุมมอง 1799 ชั่วโมงที่ผ่านมา
How to Approach Advanced SQL Question | SQL Masterclass
Roadmap for beginners in Machine Learning and Data Science
มุมมอง 60012 ชั่วโมงที่ผ่านมา
Roadmap for beginners in Machine Learning and Data Science
Foundations for Machine Learning | Probability and Statistics | An introduction
มุมมอง 65512 ชั่วโมงที่ผ่านมา
Foundations for Machine Learning | Probability and Statistics | An introduction
Implementing Flan-T5 Generative model for movie review classification
มุมมอง 30514 ชั่วโมงที่ผ่านมา
Implementing Flan-T5 Generative model for movie review classification
Loading pre-trained weights from OpenAI GPT-2
มุมมอง 31516 ชั่วโมงที่ผ่านมา
Loading pre-trained weights from OpenAI GPT-2
Linear algebra for machine learning - Half spaces and dot product in Hindi
มุมมอง 13616 ชั่วโมงที่ผ่านมา
Linear algebra for machine learning - Half spaces and dot product in Hindi
Build a RAG based chatbot from scratch
มุมมอง 51616 ชั่วโมงที่ผ่านมา
Build a RAG based chatbot from scratch
Advance SQL | JOIN & RANK STATEMENT
มุมมอง 16216 ชั่วโมงที่ผ่านมา
Advance SQL | JOIN & RANK STATEMENT
How To Approach SQL Question | SQL Coding Question
มุมมอง 13519 ชั่วโมงที่ผ่านมา
How To Approach SQL Question | SQL Coding Question
Foundations for Machine Learning | Simple intuition of eigenvalues and eigenvectors | Linear Algebra
มุมมอง 71519 ชั่วโมงที่ผ่านมา
Foundations for Machine Learning | Simple intuition of eigenvalues and eigenvectors | Linear Algebra
Linear algebra for Machine Learning - Why it's important in regression in Hindi
มุมมอง 26721 ชั่วโมงที่ผ่านมา
Linear algebra for Machine Learning - Why it's important in regression in Hindi
Power of Two | Bit Manipulation | Leetcode 231 | Python
มุมมอง 5721 ชั่วโมงที่ผ่านมา
Power of Two | Bit Manipulation | Leetcode 231 | Python
I am working with fine tuning for the purpose of text summarization purpose. Recent days, I have been experimenting with certain ways to finetune GPT2 for text summarization especially on the datasets like CNN-Daily Mail, XSUM etc. Though I learnt that encoder-decoder models like BERT are always preferred for these tasks over GPT, I would like to figure out a way better to make use of GPT or LLAMA for this task. I am not successful in generating the concise summary and most times the generated summaries simply mimic or copy the text. My Steps: I used <|pos|> and <|sep|> tokens for padding in GPT2 and also used an instructional prefix “Write a concise summary”. Truncated input and output to contain tokens which are no more than 1024 Used LoRA with r=16, alpha=32 and drop rate as 0.1 Applied cross entropy loss with ignore_index=-100 to mask irrelevant tokens Could you share some ways in llama or gpt2 as to how effectively one could approach this. Please could you share some ideas. Also from 'openai.com/index/fine-tuning-gpt-2/' they mentioned the same case
Sir, I really like how you planned this LLM playlist. It’s easy to follow. Can you share tips on making such clear learning plans? It would really help me in learning new skills!
Very good session, it reinforces key concepts - and provides further clarification
Sir, I really like how you planned this LLM playlist. It’s easy to follow. Can you share tips on making such clear learning plans? It would really help me in learning new skills!❤
Outstanding. thank you so much and keep going.
Thank you so much!
This lecture is more like a revision session.
unless you're living under the rock ahahaha well said. fantastic English
Outstanding! Thank you so much
Best video about LLm so far
❣️
What nonsense talk about India becoming attractive? India always appeals to people who do not want to work and face competition.
It looks that many commentator agreed to your idea. I will put only the other side of the thought. 1. You said India is developing. It is not. There are still 400 million who cannot read and write and do not have enough to eat. You have been victim of lies from the ruling class. As a MIT how woul you belive India is in the right path. Just think again. India cannot even enroll everybody into school even now. 2. To set a new company and run it, a country with a rule of law is much better than India. You do not have to bribe. No comparison. You do not even have to visit goverment office to start a company in the US. 3. I have travelled 26 countries and lived in 6 of them. I know Indian are looked upon high in the US, unlike in the UK or other part of the world. I agree the green card issue but once you have it your are not second class anymore. 4. Watch hindi movie "Uchai" to find out what relatives are for you. Relatives are good only when there is no strugle to meet ends. 5. I am from the same continent as you but I have lived without spicy food for many years in while in Europe. Once you are out of Indian food culture, you never want to go to India restaurant. That's explains why there are so few Indian restaurants with compared to Chinese, Mexican, Amefican or Italian in the US. I never go to Indian resturant the way most of the people in the US do not go. 6. You talked about exporting commodities you produce in your company. That is the slavey mentality imposed upon you by the British. Why would you intentionally make things for foreigner for money. Your service will make life easier for foreigner. Why can you not make some things for Indian so that Indian would be better off. You logic fails here.
Excellent thx
Superb class Do u think u can redo the linear algebra class and bring it at par to these probability class ?
Wow u made such a complex concept so intuitive 👍
Always loves to learn from you
Thanks
I am jealous of you. The whole thing is that there is no appreciation of hard work. The recognition and fruits of your hard work is enjoyed by someone else. Just think how much of our taxes politicians enjoy to send their family abroad to live or on vacation to enjoy. Doctors, lawyers are being killed and reservation quota gives all the benefit to undeserved. Will muslims let a a hindu live? I saw a tamil movie AMARAN where a brahmin gave up his life for the sake of the country and they would not recognize it in the film, while his wife a christian is praised all through out the film. Where is justice?
Well done bro
Thanks for uploading!! Yes! Once you have family and children enrolled into education, it becomes very difficult to reverse migrate! As per some highly respected social thinkers, by 2040, the best of the brains in the world will be working in India to service India and the world to shape life for humanity into modern times!!!
Good sir
Just another startup boy
False positive and negative result. Interesting session
amazing work, all well structured and break down for all to understand. hearty cheers to the team.
Amazing Lecture
Kindly share the notes
Kindly provide the notes
Phenomenal! Thanks for sharing your knowledge. Do you have plans to make similar lecture series on Reinforcement Learning?
Thank you for sharing this knowledge with us. Hopefully we can learn and share with other ppl as well.
what are the prerequisites I should have before starting ML journey? No where I see maths part is covered, so it is on us to learn?
these transformers are physical device or an algorithm ?
where can i get your lecture notes
Thanks for the sincere and honest feedback.
This intuitive teaching approach makes Linear Algebra fascinating. Thank you, Dr. Panat.
It's becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman's Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with only primary consciousness will probably have to come first. What I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990's and 2000's. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I've encountered is anywhere near as convincing. I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there's lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order. My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar's lab at UC Irvine, possibly. Dr. Edelman's roadmap to a conscious machine is at arxiv.org/abs/2105.10461, and here is a video of Jeff Krichmar talking about some of the Darwin automata, th-cam.com/video/J7Uh9phc1Ow/w-d-xo.html
🎉 it’s much much better to return back and help build your nation. I wish I could go back but we have totally uprooted
Yeh Jo Des Hai Tera….tujhe hai pukaraaaa…India needs its children to help transform it. That’s the big difference between choosing India vs US. No one needs anyone in the US, so everyone keeps trying to be needed, often sadly all life long. If you want the satisfaction and happiness of doing something that really needs to be worked on for both one’s own and the greater good, it is India. America has American patriots to do that.
Thanks a lot . Aweeome.
Thanks a lot .Awesome
Amazing :D
Yes bro .. although I'm obviously not Indian
Do engineers ( Mechanical) need this? Or just perform sci Ml first?
Liked the venn diagram method of explanation, had never seen it explained anywhere before.
Awesome lecture 👍
Great insights! Wish you the best; your kind can thrive any place and not just India
In the code how does pip install knows to download dataset from huggingface
pip install just installs the datasets library, and the datasets library knows how to fetch datasets from Hugging Face because it’s designed for that purpose.
found this series from your Reddit post, really enjoying it so far. Thanks