- 249
- 80 357
AD Academy
India
เข้าร่วมเมื่อ 3 มี.ค. 2023
Video Every Alternate days at 11AM
I, Dr Ayan Debnath, am a Solution Architect / Senior Data Scientist at a prestigious MNC. I completed my PhD degree from IIT Delhi. I was a former Fulbright Scholar at Harvard Medical School and University of Pennsylvania. I have total 8+ years of experience in the field of Data science, AI, Machine Learning, Deep Learning, Statistics, Image Processing, Healthcare, etc. Moreover, I have 5+ years of teaching experience in this field. In several meet-ups, scientific/research institutions, international conferences, and community-organized forums, I have presented 50+ technical lectures on data science, machine learning, AI and healthcare industries.
The primary objective of this channel "AD_ACADEMY" is to assist students, budding engineers, data scientists, data science aspirants to learn AI, Data science, programming, etc easily with hands on experience. Please subscribe and support.
For more information, contact adacademyai@gmail.com
I, Dr Ayan Debnath, am a Solution Architect / Senior Data Scientist at a prestigious MNC. I completed my PhD degree from IIT Delhi. I was a former Fulbright Scholar at Harvard Medical School and University of Pennsylvania. I have total 8+ years of experience in the field of Data science, AI, Machine Learning, Deep Learning, Statistics, Image Processing, Healthcare, etc. Moreover, I have 5+ years of teaching experience in this field. In several meet-ups, scientific/research institutions, international conferences, and community-organized forums, I have presented 50+ technical lectures on data science, machine learning, AI and healthcare industries.
The primary objective of this channel "AD_ACADEMY" is to assist students, budding engineers, data scientists, data science aspirants to learn AI, Data science, programming, etc easily with hands on experience. Please subscribe and support.
For more information, contact adacademyai@gmail.com
Llama3.1 with HuggingFace in 4 simple steps of Python coding
Meta Launched Llama3.1 open source AI model which is most powerfull till date. In this video, I demonstrated how to use Meta Llama 3.1 with HuggingFace in 4 simple steps using Python Coding. You can fine-tune, distill and deploy anywhere. The latest instruction-tuned model is available in 8B, 70B and 405B versions.
Github link: posting soon
For Similar videos:
How To Use Meta Llama3 With Huggingface in 3 lines of Coding: th-cam.com/video/D3vEUAjuMa8/w-d-xo.htmlsi=MCQ30YY8mnFC9yEe
Meta Llama 3 outperforms other LLMS: th-cam.com/video/mHPD4ouPQRU/w-d-xo.htmlsi=pirXzxrySCfKx9EX
How to use Meta Llama3 With Huggingface chat : th-cam.com/video/G9vqzHPuPMc/w-d-xo.htmlsi=bOQ3RcmaPSTdyXk4
How to run Llama3 locally on your computer: th-cam.com/video/cABpLuxhMUs/w-d-xo.htmlsi=GP9E6rrnLhDIN7cf
Hugging Face transformer: th-cam.com/video/ik8ZEFzduBE/w-d-xo.html
Hugging Face BERT transformer: th-cam.com/video/K7-9LgEGZVg/w-d-xo.htmlsi=7geYyvXbWLQT5brU
Text Summarization with Hugging Face Transformers in 5 Lines of Python Coding
th-cam.com/video/n1EqHs3cl4g/w-d-xo.html
Gemma: th-cam.com/video/2jQV0JtOZko/w-d-xo.htmlsi=YrP83DlGll5XOY_G
Gemma in Hindi: th-cam.com/video/xC1WsaheTto/w-d-xo.html
Gemma Quantization: th-cam.com/video/xoy7rtabh_s/w-d-xo.htmlsi=oItSWanK-S3WFZkq
Gemma Fine tuning: th-cam.com/video/RrDK_plBzbs/w-d-xo.htmlsi=l0qKgGkrCACsNtPd
#llama #llamas #huggingface #meta #llm #generativeai
Github link: posting soon
For Similar videos:
How To Use Meta Llama3 With Huggingface in 3 lines of Coding: th-cam.com/video/D3vEUAjuMa8/w-d-xo.htmlsi=MCQ30YY8mnFC9yEe
Meta Llama 3 outperforms other LLMS: th-cam.com/video/mHPD4ouPQRU/w-d-xo.htmlsi=pirXzxrySCfKx9EX
How to use Meta Llama3 With Huggingface chat : th-cam.com/video/G9vqzHPuPMc/w-d-xo.htmlsi=bOQ3RcmaPSTdyXk4
How to run Llama3 locally on your computer: th-cam.com/video/cABpLuxhMUs/w-d-xo.htmlsi=GP9E6rrnLhDIN7cf
Hugging Face transformer: th-cam.com/video/ik8ZEFzduBE/w-d-xo.html
Hugging Face BERT transformer: th-cam.com/video/K7-9LgEGZVg/w-d-xo.htmlsi=7geYyvXbWLQT5brU
Text Summarization with Hugging Face Transformers in 5 Lines of Python Coding
th-cam.com/video/n1EqHs3cl4g/w-d-xo.html
Gemma: th-cam.com/video/2jQV0JtOZko/w-d-xo.htmlsi=YrP83DlGll5XOY_G
Gemma in Hindi: th-cam.com/video/xC1WsaheTto/w-d-xo.html
Gemma Quantization: th-cam.com/video/xoy7rtabh_s/w-d-xo.htmlsi=oItSWanK-S3WFZkq
Gemma Fine tuning: th-cam.com/video/RrDK_plBzbs/w-d-xo.htmlsi=l0qKgGkrCACsNtPd
#llama #llamas #huggingface #meta #llm #generativeai
มุมมอง: 44
วีดีโอ
How to summarize text from PDF using Hugging Face in 3 steps
มุมมอง 5612 ชั่วโมงที่ผ่านมา
In this tutorial, I'll show you how to summarize text from a PDF using Hugging Face in three easy steps. First, we'll extract the text from a PDF file. Next, we'll use a pre-trained summarization model from Hugging Face. Finally, we'll generate and display a concise summary of the extracted text. This guide offers a fast and efficient method to summarize lengthy documents effortlessly. Join me ...
PDF Text Summarization in 3 simple steps using Hugging Face
มุมมอง 47วันที่ผ่านมา
I demonstrate how to perform PDF text summarization using Hugging Face in three simple steps. First, we extract text from a PDF file. Next, we utilize a pre-trained summarization model from Hugging Face. Finally, we generate and display a concise summary of the extracted text. This tutorial provides a quick and effective way to summarize lengthy documents with ease. Join me to streamline your t...
Stopwords explained with Code: Natural Language Processing
มุมมอง 4014 วันที่ผ่านมา
In this video, we dive into the concept of stopwords and their significance in Natural Language Processing (NLP). Stopwords are common words that often carry less meaningful information and can be filtered out to enhance text processing efficiency. We will explore the rationale behind using stopwords, demonstrate how to identify and remove them, and provide practical code examples in Python. Wh...
CISCO Interview Experience | Interview Questions And Answers
มุมมอง 22514 วันที่ผ่านมา
Are you eager to kickstart your career with a global tech giant like Cisco Systems? In this video Manjunath has shared his Interview Experence of Cisco and Questions Asked in Online Coding Round And Interview Rounds of cisco . Do Like And Subscribe for More Interview Experence Videos. #cisco #interview #interviewpreparation #softwareengineer #coding
CISCO Interview | SQL Top Questions and Answers
มุมมอง 57หลายเดือนก่อน
In this video, I am conducting a mock interview session with my student, Manjunath, who will soon be appearing for a Cisco interview. This mock interview aims to provide him with real-life interview experience. The set of questions I ask are crucial and commonly posed by interviewers. Prepare thoroughly for your SQL interview rounds by following along. Similar contents: How to crack Interview a...
Cisco Interview Questions And Answers | What to expect from CISCO Interview | Coding questions
มุมมอง 246หลายเดือนก่อน
In this video, we will conduct a mock interview simulating a typical Cisco interview. Cisco interviews usually consist of several rounds, and our focus will be on the first round: the coding round. You can expect to solve 1-2 coding problems, followed by technical questions on programming concepts in Python, Java, or other languages. For similar videos: How to crack Data Science interviews: th-...
Mock Interview on Generative AI & LLM | Top Interview Questions 🔥
มุมมอง 1.3Kหลายเดือนก่อน
Generative AI has taken the world by storm! Here's is a mock interview video where we shared important interviews questions that are generally asked in interviews for Data Science In Generative AI roles For similar contents, watch my previous videos: How to prep for ML interviews: th-cam.com/video/y7ARaPDci98/w-d-xo.htmlsi=NoeRZkZ0x9XMXL-S How to crack Interview at Amazon: th-cam.com/video/TcMC...
Prompt Engineering & Responsible AI | Podcast - Where IITians Meet
มุมมอง 36หลายเดือนก่อน
In this podcast episode, we dive into the world of Prompt Engineering and Responsible AI. Learn how to craft effective prompts to harness the full potential of AI models and explore the ethical considerations essential for developing responsible AI systems. Join us as we discuss best practices, real-world applications, and insights from industry experts. Don't miss out on this comprehensive gui...
How to Use Chat GPT 4 in OpenAI in 4 lines of Python coding
มุมมอง 3222 หลายเดือนก่อน
I was using GPT-4 and it literally blew my mind. GPT-4 is one of the latest release of OpenAI's language model, renowned for its advanced natural language understanding and generation capabilities. It surpasses its predecessors like GPT 3.5 in terms of complexity, enabling more nuanced and context-aware responses. GPT-4 is utilized across diverse applications, from chatbots and virtual assistan...
Mock NLP Interview: Top Questions & Answers | Prepare for Your NLP Job Interview
มุมมอง 1692 หลายเดือนก่อน
Get ready for your NLP job interview with this detailed mock interview session. We'll walk you through common questions and provide practical answers, helping you to confidently prepare for your next big opportunity in the field of Natural Language Processing. Subscribe for more interview prep videos For similar contents watch my other videos: NLP in Hindi: th-cam.com/play/PL4B6T2yqHcJwa73HTZbb...
How To Use GPT Neo 2.7B model with Hugging Face in 3 lines of Coding
มุมมอง 2612 หลายเดือนก่อน
Using the GPT Neo 2.7B model with Hugging Face is straightforward. First, install the transformers library. Then, load the model and tokenizer with just three lines of code. Watch this short video to understand how easily you can implement GPT Neo in hugging face using transformer and pipeline module. #gpt #gpt4o #gpt4 #gptneo2.7 #llm #generativeai
Data Science Mock Interview | Interview Questions for Machine Learning job roles
มุมมอง 1672 หลายเดือนก่อน
Data Science Mock Interview | Interview Questions for Machine Learning job roles
Stop words explained in Hindi | Natural Language Processing (NLP)
มุมมอง 192 หลายเดือนก่อน
Stop words explained in Hindi | Natural Language Processing (NLP)
How to Run Llama 3 Locally on your Computer / laptop in Ollama
มุมมอง 2502 หลายเดือนก่อน
How to Run Llama 3 Locally on your Computer / laptop in Ollama
How to use Meta Llama 3 using Hugging Face Chat in 2 simple steps | Better than ChatGPT
มุมมอง 2372 หลายเดือนก่อน
How to use Meta Llama 3 using Hugging Face Chat in 2 simple steps | Better than ChatGPT
How To Use Meta Llama3 With Huggingface in 3 lines of Coding
มุมมอง 1.7K3 หลายเดือนก่อน
How To Use Meta Llama3 With Huggingface in 3 lines of Coding
Meta Llama 3 outperforms other LLM Models | Performance Schoked me 😳🤯
มุมมอง 2053 หลายเดือนก่อน
Meta Llama 3 outperforms other LLM Models | Performance Schoked me 😳🤯
Text Summarization with Hugging Face Transformers in 5 Lines of Python Coding | NLP
มุมมอง 1163 หลายเดือนก่อน
Text Summarization with Hugging Face Transformers in 5 Lines of Python Coding | NLP
Prompt Engineering | Podcast with Data Scientist 👨💻
มุมมอง 994 หลายเดือนก่อน
Prompt Engineering | Podcast with Data Scientist 👨💻
BERT with Huggingface 🤗and Python (in Hindi) | LLM | NLP
มุมมอง 1074 หลายเดือนก่อน
BERT with Huggingface 🤗and Python (in Hindi) | LLM | NLP
Huggingface Transformer Implementation in Python | LLM | Generative AI
มุมมอง 2504 หลายเดือนก่อน
Huggingface Transformer Implementation in Python | LLM | Generative AI
How To Fine Tune Gemma LLM Models | Step By Step Tutorial
มุมมอง 6434 หลายเดือนก่อน
How To Fine Tune Gemma LLM Models | Step By Step Tutorial
Google Gemma | Quantization and Fine Tuning
มุมมอง 2794 หลายเดือนก่อน
Google Gemma | Quantization and Fine Tuning
Gemma: Google's New Open-source LLM (in HINDI) | Large Language Model
มุมมอง 2614 หลายเดือนก่อน
Gemma: Google's New Open-source LLM (in HINDI) | Large Language Model
Tokenization Implementation In Python | Natural Language Processing (NLP)
มุมมอง 754 หลายเดือนก่อน
Tokenization Implementation In Python | Natural Language Processing (NLP)
Text Summarization with Hugging Face Transformers in 5 Lines of Python Coding | NLP | LLM
มุมมอง 4045 หลายเดือนก่อน
Text Summarization with Hugging Face Transformers in 5 Lines of Python Coding | NLP | LLM
Tutorial 20 - Hugging Face🤗Transformer in Python | BERT | LLM | Generative AI | NLP
มุมมอง 2545 หลายเดือนก่อน
Tutorial 20 - Hugging Face🤗Transformer in Python | BERT | LLM | Generative AI | NLP
Tutorial 19 - Huggingface Transformer And Bert Implementation in Python | LLM | Generative AI
มุมมอง 5425 หลายเดือนก่อน
Tutorial 19 - Huggingface Transformer And Bert Implementation in Python | LLM | Generative AI
code link is not opening
nice concept of nlp sir
dont worry about rejection best of luck for next company and thanks for sharing your experience
bank SBI and bank of River bank
@@hrishrogers839 correct
Bro, this is not working for very long text documents and books... Index out range error... If summarize 50/100+ pages books... Btw, I already did this task 1 or 2weeks ago...
Thank you very much for your great TH-cam. I have a question. Is the finetuning done at your local pc? I have used the same code in the local pc but once I prompted, the answer is always like "affor increa increa increa increa increa increa increa increa increa". do you know why? even I put the same code.
I used colab
Pcb student is eligible to join in biomedical engineering
Love you bro...Amazing...You nail it.....Please make the series of deep dive videos of LLM/LangChain Using HuggingFace.....To explain LangChain and HuggingFace Zero to End...
Kindly subscribe to my channel for more such videos Sure, upcoming videos will be on Langchain.. Thanks 🙏
@@ad_academy Already subscribed
Bro please tell me about the admission process for m. Tech
Here is the admission process for M.Tech Biomedical Engineering at Osmania University ¹: Admission criteria: - The candidate must have a B.Tech/B.E. degree with a minimum aggregate of 55% from any recognized university or its equivalent. - AMIE/AMIETE or similar qualifications are recognized as equivalent to a B.Tech degree. Eligibility: - Selection to courses is based on the merit/rank secured in GATE. - If a sufficient number of GATE-qualified candidates are not available, admissions are made based on the Entrance Test conducted by the University/Government. Documents required: - The following documents are required for verifying at the time of admission: - Admission memo - Transfer certificate - Conduct certificate - Intermediate pass certificate - Intermediate mark memo - Qualifying examination pass certificate - Qualifying examination mark memo - Reservation category certificate (if applicable) - Income certificate (if applicable) - Migration certificate (if applicable)
@@ad_academy thank you so much
👏👏
sir pdf text summarization using hugging face plz plz
Thanks for mentioning this. I will make a video on your request and will upload soon
He is saying something 🙂.That should ask by interviewer 🙂
Nice oppurtunity to learn from you sir
Thank you ☺️
Superb....
Thanks ☺️. Subscribe to my channel youtube.com/@ad_academy?si=RuPnxM8ghbUMuf6b for more such contents
Good Attempt 🎉
Thanks for the appreciation. Subscribe to my channel youtube.com/@ad_academy for more such content
Your teaching style is very good 👍
Glad you think so!
Great mock interview
Thank you sir for giving me this wonderful opportunity 🙏
It's my pleasure
hi sir, I am following up all steps you mentioned but it is taking to much time to generate result Hey how are you doing today? it is keep executing. don't come result as it is coming in your video. please guide me.
You need to change runtime of Colab to T4 GPU for faster execution.
Thanks for uploading such relevant video. Hoping for more such videos that is relevant for data science career.
So nice of you
great sir
Thanks for your time 🕰️ Let me and audience know how was your mock interview experience
@@ad_academy it was great experience thank you sir you very helping person I am lucky that I got connect to you and you are doing great job for all those who are looking a job in the field of data science
All the best Yasar for your interview
link please
Will be sharing soon
Thank you soo much ❤😊 im following you right now!!!😊
You’re welcome 😊
Great Video Dr.
Thanks 🙏 keep watching,more videos yet to come
Wtf I'm I watching 😂
That’s going to be future
Nice sir ❤
Thanks Yasar Keep watching, will be uploading more videos on LLM
Nice video !!
Thanks..Keep watching, I will be uploading more videos on Llama
💯
sir plz make the video per day so that we can learn from it
Follow my playlist on GenAI Generative AI th-cam.com/play/PL4B6T2yqHcJxdeChckvD7dHEmg4_uVzQy.html
Sir plz make more videos on that ASAP I have to gave the interview on genai plz sir make it fast
I will be uploading more videos at regular short intervals, focusing more on interviews for gen AI based job roles
I try to run gemma-2b in my destop , but I have some error . After pip3 install -q -U accelerate==0.27.1,I will not run this model . but If I don't pip accelerate can run My transformers version is 4.38.1 OS is win10 Please help me thank you!
The style in which u teach is outstanding
Thank you! your teaching is so great!! and I want to ask question that the format of fine tune data is fixed in all model?
Thank you. Keep watching my contents on LLM, generative AI, NLP, machine learning, etc Happy learning 😊 And do subscribe to my channel🤗
The format is more or less similar, need to optimizer few parameters like tokenizer, training parameters for that specific pre-trained model which you are using
Incredible video... 😍 GEMMA is the new state of art of Google ❤️😍
Absolutely true 😊
👏🏻👏🏻
Thanks ☺️
✍️
Informative 👏🏻👏🏻
Glad you liked it
Do you have video in English? Still good video
English playlist coming soon. Stay tuned
Very good explanation
Good coding video Expecting more in future
Yes, soon
Great Initiative
Keep watching and subscribe for more such content
By the way, good explanation
Just a suggestion, if you make your videos in hindi, it will reach to more people.
vahi bhai 13 min ki baat ko 5 min me keh deta
Very Informative
Thanks ..Keep watching and do SUBSCRIBE to my channel
Good 👍
Thanks for the visit
Very Well described. Also very helpful content in this channel for jobs😊
Thank you very much
SUBSCRIBE to "AD ACADEMY AI" and Keep Watching to learn more about Hugging Face Transformers, different types of LLM, implementation using python programming, etc
That was super quick. Thanks for the fast update on this. Keep it up👏🏻👏🏻
Thanks. Stay tuned for more such contents
What is the course fee?
It’s free 🆓
A well structed good video..Looking for more such videos
Glad you liked it. More to come