DAY - 1 | Introduction to Generative AI Community Course LIVE !

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  • Опубліковано 23 гру 2024

КОМЕНТАРІ • 101

  • @iNeuroniNtelligence
    @iNeuroniNtelligence  11 місяців тому +9

    For course details please visit: ineuron.ai/course/generative-ai-community-edition

  • @kd6613
    @kd6613 8 місяців тому +14

    🎯 Key Takeaways for quick navigation:
    02:24 *📢 Introduction to Generative AI Community Session*
    - Introduction and confirmation of audio/video quality.
    - Waiting for additional participants before starting.
    06:05 *🚀 Overview of Generative AI Course Content*
    - Introduction to the course and its structure over two weeks.
    - Discussion on the basic to advanced concepts in Generative AI and application development.
    07:55 *💡 Course Dashboard and Enrollment Details*
    - Explanation of the course dashboard, enrollment process, and availability of resources.
    - Highlighting the accessibility of lectures, quizzes, and assignments for free.
    09:07 *👨‍🏫 Instructor Introduction and Course Curriculum*
    - Introduction of the instructor's background and expertise in data science.
    - Detailed explanation of the course syllabus, including topics on generative AI, LLMs, OpenAI, and practical applications.
    11:42 *📚 Curriculum Deep Dive and Interactive Learning Approach*
    - Focus on recent trends and practical applications in generative AI.
    - Emphasis on interactive learning, hands-on projects, and the importance of quizzes and assignments for reinforcement.
    13:31 *🧠 Detailed Course Topics and Technologies*
    - Explanation of generative AI basics, large language models (LLMs), OpenAI's API, and Lennon.
    - Discussion on creating AI applications, vector databases, and exploring various open-source models.
    19:27 *🛠️ Prerequisites and Course Readiness*
    - Detailing the prerequisite knowledge for the course, including basic Python, ML, and DL.
    - Assurance of comprehensive teaching methods for all skill levels.
    22:28 *🌟 Introduction to Generative AI and Large Language Models*
    - Begin introduction to generative AI and LLMs, setting the stage for detailed exploration in subsequent sessions.
    - Engaging participants with questions on their familiarity with generative AI to tailor the session's content.
    29:06 *🧠 Deep Learning Fundamentals and Neural Networks*
    - Introduction to deep learning and its three major segments: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN).
    - Discussion on specialized neural networks like Reinforcement Learning (RL) and Generative Adversarial Networks (GANs), emphasizing their role in generative AI.
    37:01 *🎨 Generative AI Overview and Image Models*
    - Explanation of Generative AI as a creator of new data, including images, texts, and videos, based on training samples.
    - Division of generative AI into generative image models and generative language models, with an emphasis on GANs and their architecture involving generators and discriminators.
    43:43 *🤖 Introduction toLarge Language Models (LLMs) and their Evolution*
    - Introduction to Large Language Models (LLMs) highlighting their emergence from Transformers and their capacity for various generative tasks.
    - Discussion on the evolution of image and text generation models, moving from GANs to more advanced LLMs capable of generating images from text prompts.
    48:21 *📚 Generative AI within the Deep Learning Spectrum*
    - Positioning of Generative AI within the deep learning domain, elaborating on its capability to generate images, texts, and undertake complex transformations like text-to-image generation.
    - Exploration of the discriminative AI versus generative AI, underscoring the generative AI’s unique ability to create new, unseen data.
    52:16 *🔄 Evolution of Generative Tasks and LLM Capabilities*
    - Discussion on the evolution from GANs to LLMs for tasks like image-to-image generation, text-to-text generation, image-to-text, and text-to-image generation.
    - Emphasis on the versatility of LLMs in handling both homogeneous and heterogeneous data types.
    55:16 *🏛️ Generative AI within the AI Ecosystem*
    - Placement of Generative AI within the broader AI, machine learning, and deep learning contexts, affirming its status as a subset of deep learning.
    - Explanation of the hierarchy from AI to deep learning and how generative AI fits within this structure.
    01:01:47 *🔊 Technical Difficulties and Resumption*
    - A brief interruption due to microphone issues, followed by a check with the audience for audio quality and resumption of the session.
    01:04:03 *📖 Sequence-to-Sequence Models and Encoder-Decoder Architecture*
    - Introduction to sequence-to-sequence models, their significance, and limitations in handling fixed-length input and output.
    - Exploration of encoder-decoder architecture and the introduction of attention mechanisms to overcome the limitations of traditional seq2seq models.
    01:15:11 *💡 The Transformer Model and Its Impact on NLP*
    - Discussion on the Transformer model, introduced in the "Attention is All You Need" paper, and its revolutionary impact on natural language processing (NLP).
    - The Transformer model's architecture, featuring input embedding, positional encoding, multi-head attention, and how it differs fundamentally from RNNs, LSTMs, and GRUs.
    01:18:11 *🔄 Transformer Architecture and Its Efficiency*
    - Overview of the Transformer architecture, emphasizing its speed and parallel processing capabilities.
    - Explanation of key components like input embedding, positional encoding, and multi-headed attention.
    01:28:01 *🗂️ Introduction to Large Language Models (LLMs)*
    - Definition and significance of Large Language Models (LLMs), trained on extensive datasets.
    - Discussion on why LLMs are termed "large" due to their size, complexity, and the vast amounts of data they are trained on.
    01:35:06 *🔍 Open Source and OpenAI Based LLMs*
    - Distinction between OpenAI's proprietary models like GPT variants and open-source models like Bloom and Llama.
    - Explanation of the various applicationsand capabilities of LLMs in generating and understanding complex data patterns.
    01:38:05 *📚 Session Conclusion and Recap*
    - Recap of the session's key points on generative AI and LLMs.
    - Encouragement for audience interaction and feedback on the session's content, with a forward look towards practical demonstrations in future sessions.
    01:39:08 *🛠️ Accessing OpenAI and Hugging Face Models*
    - Instructions on how to access OpenAI API and explore various models on the Hugging Face Hub.
    - Emphasis on the need to create an account and generate an API key for OpenAI and explore open-source models for various tasks on Hugging Face.
    01:42:20 *🔄 Alternative Platforms and LLM Applications*
    - Introduction to AI 21 Labs as an alternative to OpenAI's GPT models, offering a different model for free usage.
    - Discussion on the broad capabilities of LLMs in handling tasks like text generation, sentiment analysis, and chatbots.
    01:44:35 *🖼️ Generative AI and LLMs in Computer Vision*
    - Clarification that LLMs are primarily for language-related tasks, not directly applicable to computer vision projects.
    - Mention of different models and transfer learning techniques for computer vision tasks.
    01:48:05 *📘 Understanding Transfer Learning in NLP with ULMFit*
    - Explanation of transfer learning's role in NLP, as showcased by the ULMFit paper.
    - Discussion on how LLMs have evolved from traditional language models by being trained on vast datasets, making them versatile for various NLP tasks.
    Made with HARPA AI

  • @nehalshams7945
    @nehalshams7945 11 місяців тому +26

    30:04 topics of deep learning
    ANN, CNN, RNN, RL, GAN
    45:55 Generative Model
    47:29 where generative AI exist
    55:33 timeline of LLM
    59:31 different types of mapping techniques
    1:16:04 Attention research paper
    1:23:14 discriminative vs generative model
    1:27:56 LLM

  • @piyush_mg13
    @piyush_mg13 4 дні тому

    Amazing Content. Lessgoo!!!

  • @kiku_108
    @kiku_108 Рік тому +56

    lectures starts at 26:10 .......ur welcome

  • @himanshushukla3060
    @himanshushukla3060 Рік тому +81

    Really? I cant believe i paid for a webinar recently for generative Ai and i can't believe that all of this you guys are going to be teaching for free !! Kudos to you guys thanks a ton

    • @KishanPatel22573
      @KishanPatel22573 Рік тому +4

      From B10x me too..did not learn a word. Glad i found this. My company has been pressing for me to learn this

    • @bhargavnayak999
      @bhargavnayak999 6 місяців тому

      Can I get this whole session in Hindi language

  • @animatedstuff8375
    @animatedstuff8375 Місяць тому

    I am very happy for your videos

  • @NihalNibhanupudi
    @NihalNibhanupudi Рік тому +7

    Beautifully explained

  • @KumR
    @KumR 9 місяців тому +1

    Good one. Getting your point.. YES

  • @GauravSharma-lx9rb
    @GauravSharma-lx9rb Рік тому +7

    Informative video, looking for more such content 😃

  • @imrahamed
    @imrahamed 9 місяців тому +3

    0:00-0:05 : 📢 Introduction to the generative AI community session.
    0:05-0:15 : 📚 Overview of the curriculum and topics to be covered.
    0:15-0:25 : 🎥 Explanation of the dashboard and enrollment process.
    0:25-0:30 : 💻 Introduction of the instructor and their expertise.
    0:30-0:45 : 📺 Detailed discussion on generative AI and large language models.
    0:45-1:00 : 🌐 Explanation of OpenAI and its different models.
    1:00-1:15 : 📝 Importance of vector databases in generative AI applications.
    1:15-1:30 : 🗃 Introduction to open-source models like LAMA and Falcon.
    1:30-1:45 : 🚀 Deployment of end-to-end projects using generative AI and MLOps concept.
    Key Insights
    📢 The generative AI community session will cover topics like generative AI, large language models, open-source models, and deployment using MLOps. It aims to provide a comprehensive understanding of generative AI applications.
    📚 The curriculum focuses on recent trends in generative AI and emphasizes practical implementation by creating real-world projects.
    💻 The dashboard serves as a central platform for accessing videos, assignments, quizzes, and resources related to the community session.
    🎥 The session will be conducted by an experienced instructor with expertise in data science, machine learning, and deep learning.
    📺 The theoretical part of the course will cover generative AI, large language models, and their applications, while the practical part will involve using Python to work with OpenAI and LAMAs.
    🌐 OpenAI offers various models like GPTs, and the session will provide a detailed walkthrough of these models and how to utilize them using Python API.
    📝 Vector databases play a crucial role in generative AI applications, storing and retrieving embeddings for efficient processing and retrieval of data.
    🗃 Open-source models like LAMA and Falcon offer powerful features that can be used to solve various tasks and will be explored in this community session.
    🚀 The session will conclude with deploying end-to-end projects using generative AI and MLOps concepts, showcasing the practical application of the knowledge gained.

  • @Aman_7458
    @Aman_7458 Рік тому +3

    very informative thanks a lot for this looking forward to more such sessions

  • @ParthivShah
    @ParthivShah 3 місяці тому +1

    Thank You Sir.

  • @MrAmarSindol
    @MrAmarSindol Рік тому +1

    very happy ...thanks ineuron

  • @HustleWithShubham01
    @HustleWithShubham01 Рік тому +5

    Thanks a lot really helpful initiative ❤❤

  • @sawfhsawfh2024
    @sawfhsawfh2024 Рік тому +3

    Thank you so much "Sunny" and "Bappy"

  • @AnkitKumar-eq3vw
    @AnkitKumar-eq3vw Рік тому +4

    Well explained ❤

  • @jatinnandwani6678
    @jatinnandwani6678 Рік тому +1

    Excellent man, thanks so much

  • @tanvithanekar8456
    @tanvithanekar8456 6 місяців тому

    Best Playlist for GenAi

  • @naveen_savita
    @naveen_savita Рік тому +3

    Very good 👍

  • @firmankrisnadi7248
    @firmankrisnadi7248 10 місяців тому

    Highly appreciate

  • @anshkumarpathak2880
    @anshkumarpathak2880 Рік тому +2

    Well done 👍👏

  • @pembarthisaikumar2689
    @pembarthisaikumar2689 4 місяці тому +17

    @iNeuronIntelligence I paid money for full stack data science with generative AI V2 and you have cancelled the course, all this happened in the month of June, despite multiple emails none of you are responding and no payment is done to me, this is clearly unprofessional and your team who sold me the course is also not responding! Please refund the amount and have some responsibility to answer the emails or calls!

  • @jinekarika5847
    @jinekarika5847 Місяць тому

    Thanks sir

  • @thomasantony3381
    @thomasantony3381 Рік тому +1

    Deep Respect 💪🎉

  • @ruhiraj9551
    @ruhiraj9551 Рік тому +1

    Thanku so much sir 🙏🏻

  • @Chapi-px8bf
    @Chapi-px8bf 7 місяців тому

    Thank you so much it is so interesting tutorial

  • @अनन्तमनः
    @अनन्तमनः Рік тому +1

    thanks for the starting GenAI series🙏

  • @gayamsunilkumar3451
    @gayamsunilkumar3451 11 місяців тому +2

    Please upload the ppt in the resources section INEURON

  • @GrowDaily-u7m
    @GrowDaily-u7m 10 місяців тому

    great session thanks

  • @VijayKumar-pd8mu
    @VijayKumar-pd8mu 6 місяців тому

    excellent explanation ,

  • @subhashsalve6945
    @subhashsalve6945 3 місяці тому

    Very good

  • @ssm11-w2d
    @ssm11-w2d Рік тому +1

    Great work Sunny! ❤

  • @kanchantomar1591
    @kanchantomar1591 Рік тому +3

    🙌🙌

  • @mayanksharma1596
    @mayanksharma1596 3 місяці тому

    YES

  • @Startupindia3
    @Startupindia3 9 місяців тому

    And i am exiceted with free and advance course

  • @76-madhupshrivas15
    @76-madhupshrivas15 Рік тому +3

    Great sir 👍

  • @Startupindia3
    @Startupindia3 9 місяців тому

    Yes

  • @Startupindia3
    @Startupindia3 9 місяців тому

    Yes i like

  • @prakashquest850
    @prakashquest850 7 місяців тому

    Yes brother

  • @jisubehera7670
    @jisubehera7670 Рік тому +2

    Can we get ppt of this training

  • @Startupindia3
    @Startupindia3 9 місяців тому

    Video and audio fine

  • @satijena5790
    @satijena5790 3 місяці тому

    When is the next sessions to begin please? I am keen to join your next batch...

  • @varmavanam-pd2xb
    @varmavanam-pd2xb 8 місяців тому

    What is prerequisite to learn generative AI

  • @ashutoshsenofficial8262
    @ashutoshsenofficial8262 Рік тому +2

    👏🏻👏🏻

  • @xedit19
    @xedit19 13 днів тому

    Where is PPT

  • @Perseverance108
    @Perseverance108 6 місяців тому

    SIr, can you pls share the link of this PPT?

  • @shivamagarwal2188
    @shivamagarwal2188 11 місяців тому

    I am not able to sign up on the ineuron platform.

  • @roseannerosie6110
    @roseannerosie6110 6 місяців тому

    gotta pay for gpt 3.5 turbo???because none of my code runs it just shows ratelimit error

  • @huzaifaharis285
    @huzaifaharis285 7 місяців тому

    How many time you use word different

  • @RAKESHKUMAR-rb8dv
    @RAKESHKUMAR-rb8dv 3 місяці тому

    if possible, can we get all Notes

  • @SalehGoodarzian
    @SalehGoodarzian 3 місяці тому

    Such a high quality video. How did you record your screen and yourself? Which software did you use? I would be thankful if you could let me know. Best wishes and regards

  • @babul084
    @babul084 5 місяців тому

    Can u share the PPT of entire course

  • @imTiwari2005
    @imTiwari2005 3 місяці тому

    where is the slides /notes

  • @rakeshkumarrout2629
    @rakeshkumarrout2629 Рік тому +1

    I request you to include single agent and multi agent frame works like autogen and all.

  • @sachinpurohit2512
    @sachinpurohit2512 Рік тому +2

    sir jo 5 baje hindi wali class hone wale thi wo nahi hogi kya

    • @sunnysavita9071
      @sunnysavita9071 Рік тому

      It happened please check with iNeuron tech Hindi

  • @subirmyspace
    @subirmyspace 10 місяців тому

    🙏🙏

  • @iqtech6065
    @iqtech6065 9 місяців тому

    I have submitted all quizzes and assignments, for quizes it's showing me completed but for assignments it's not marked yet status is submitted when I am downloading certificate it's saying that submit 60% assignments.... Kindly help..

    • @032surajmali6
      @032surajmali6 8 місяців тому

      They will check the assignment you have submitted and give marks then the marks count in honor 60%

  • @girishkumargaming1482
    @girishkumargaming1482 6 місяців тому

    Lecture start at 26:10

  • @akhilandeshwarinakka5423
    @akhilandeshwarinakka5423 5 місяців тому

    Sir is this course enough for placement criteria

  • @madhulikasworld1783
    @madhulikasworld1783 9 місяців тому +3

    From 59 mins could not Hear anyting 3/4 mins

  • @realtruevideo
    @realtruevideo 10 місяців тому

    Can u share the PPT of this entire course

  • @Anonymous-p5e
    @Anonymous-p5e 11 місяців тому

    Hi Sir, Can I get learn and get experience only on GEN AI and apply for jobs, without having previous experience on Machine Learning or Artificial Intelligence ?

  • @shashankshashank161
    @shashankshashank161 11 місяців тому

    Can we learn this without knowledge of Deep Learning ?

  • @andrewereynolds5840
    @andrewereynolds5840 7 місяців тому +1

    💎 Cognizant Technology Solutions (CTSH) 💎

  • @tomal1979
    @tomal1979 11 місяців тому

    Is there any prerequisite to take this course?

  • @ankitsanap5908
    @ankitsanap5908 10 місяців тому

    Plz upload the ppt and research papers

  • @krishnasundeepbasavaraju7024
    @krishnasundeepbasavaraju7024 8 місяців тому +1

    Hi sir, with a heavy heart I am writing this comment. I am currently working as lecturer from past 10 years having no growth in my career. I just want a career guidance to switch my career. sir, I am also pursuing PHD in signal processing with ML. having fundamentals of Machine learning too. kindly suggest me the way and steps to learn Gen AI . this will be of great help in my life sir. Thank you

  • @aditya5ghare
    @aditya5ghare 11 місяців тому +1

    Why i feels its sudhanshu kumar voice??

  • @ComputerByVirender
    @ComputerByVirender 7 місяців тому +13

    Why he is using so many fillers while speaking? After Every 2-3 second he is like Aaa ammm aaa amm aaa aaa aaa aaaa aaaaaa aaaaaa

    • @IonizedComa
      @IonizedComa 4 місяці тому

      Probably a language barrier

  • @lalitchhazed
    @lalitchhazed Місяць тому +1

    Bro said ...uh... 2 billion times

  • @lifeevents1781
    @lifeevents1781 6 місяців тому

    Sir .I am from Arts background . And have interest in learning AI . Will I be getting good jobs after learning this

  • @sumithatwal9343
    @sumithatwal9343 6 місяців тому

    Hi sir kaise hain aap sir main bhi sikhana chahta hun kaise Sikh lunga mujhe itni English nahin aati

  • @Dr.UmakantButkar
    @Dr.UmakantButkar 20 днів тому

    Audible

  • @Startupindia3
    @Startupindia3 9 місяців тому

    Yes I regestration

    • @Startupindia3
      @Startupindia3 9 місяців тому

      Free course is it and totally complete

  • @vickYT_69
    @vickYT_69 7 місяців тому

    gan ❌GAYn✅

  • @anoopmaheshwari2823
    @anoopmaheshwari2823 5 місяців тому +2

    22 minutes lost and still nowhere near start of the topic, can u pls edit the video else you will lose way more audience than you can imagine

  • @nishanthgandhidoss6848
    @nishanthgandhidoss6848 11 місяців тому

    There is a need to make your content little more better. For example: Large Language model are called "large" because of the large number of weights theses models have not because of the data alone

  • @lettechtutorials
    @lettechtutorials 8 місяців тому

    If all audience is from Pakistan and INDIA then why not in URDU or Hindi ?

  • @risheekraju7591
    @risheekraju7591 2 місяці тому

    conclusion: everything is nothing

  • @RajKumarYadav-ws9kl
    @RajKumarYadav-ws9kl 2 місяці тому

    👍

  • @Redemption369
    @Redemption369 7 місяців тому

    Does a person require software background?? Without that can he able to survive? Please let us know

  • @khushithaker-u4p
    @khushithaker-u4p 9 місяців тому

    Can u share the PPT of this entire course @iNeuroniNtelligence

  • @vickYT_69
    @vickYT_69 7 місяців тому

    DALL.E ❌ Delhi✅

  • @yashkrgupta2122012
    @yashkrgupta2122012 8 місяців тому

    yes

  • @yashkrgupta2122012
    @yashkrgupta2122012 8 місяців тому

    yes

  • @tarun87able
    @tarun87able 7 місяців тому

    Yes

  • @jasonaddison-b8i
    @jasonaddison-b8i 5 місяців тому

    yes

  • @PrasannaKolli-s4f
    @PrasannaKolli-s4f 4 місяці тому

    yes