@arunmanglick
This is one of the finest relating dots and completing a full circle.. AI, ML, DL and Generative AI.
@hargovindahirwar266
🎯 Key Takeaways for quick navigation: 00:00 📚 Introduction to Generative AI - Definition of generative AI and its applications. - Distinction between AI and machine learning, including supervised and unsupervised learning. - Introduction to deep learning and its connection to generative AI. 05:36 🧠 Deep Learning and Generative AI - Explanation of deep learning and its use of artificial neural networks. - Differentiating generative models from discriminative models. - Overview of how generative AI generates new content. 11:10 🔄 Generative AI Process and Models - The training process of generative AI and how it creates a statistical model. - Examples of generative language models and their capabilities. - The importance of prompt design in controlling model output. 16:23 💼 Gen AI Applications and Foundation Models - An overview of various applications of generative AI, including code generation. - Introduction to foundation models and their role in AI development. - Highlighting specific use cases for different task models. 20:05 🛠️ Tools for Generative AI Development - Introduction to Generative AI Studio and its tools for model development. - Information about Gen AI App Builder and its no-code app creation capabilities. - Overview of PaLM API and its integration with development tools. Made with HARPA AI
@chacko
The fact that this kind of education is available for free on the internet is one of the many advantages of the times we live in 🌱☀
@peterokwori9436
What an explicit explanation and differentiation of AI, ML, DL and GenAI. This is superb
@LightsOche
One can literally learn everything online now... Wao this is good
@ZeeDimensionYouTube
This video provides a comprehensive and clear explanation of Generative AI, breaking down how it works and its wide range of applications. It covers key model types and gives a solid introduction to the technology’s fundamentals, making it accessible to both beginners and those familiar with AI. The discussion on common applications such as content creation, image generation, and natural language processing, highlights how Generative AI is transforming industries and driving innovation. This is an excellent resource for anyone looking to understand the basics of Generative AI and its practical uses.
@hongbo-wei
Thank you Google for tech education. I'm a junior software engineer and I'll keep learning and sharping my skills. I'll try my best to land a software enigeering job in the Google! : )
@sam12345393
The reason why transformers encode and decode is fundamentally about data representation: models need to encode text into numbers so they can process it, and then decode their output back into text so that it can be understood by humans.
@mainanant
Whole design team has done fantastic work in this video.
@fatemehcheginisalzmann2189
I am impressed with such a clear, informative, and simple explanation !!!
@mohamednabil200
🎯 Key Takeaways for quick navigation: 00:28 🤖 Generative AI can produce various types of content, including text, imagery, audio, and synthetic data. 01:51 🛡️ Machine learning allows computers to learn without explicit programming, and it includes supervised and unsupervised models. 05:36 🤯 Generative AI is a subset of deep learning that uses artificial neural networks and can process labeled and unlabeled data using various methods. 07:30 📊 Discriminative models classify or predict labels for data points, while generative models generate new data instances based on learned probability distributions. 11:10 🧠 Generative AI creates new content based on what it has learned from existing content, often using large language models. 14:29 💡 Prompts are used to control the output of large language models, and prompt design is crucial for generating desired results. 15:54 🌐 Generative AI can have various applications, including text-to-text, text-to-image, text-to-video, text-to-3D, and text-to-task models. 17:17 🚀 Foundation models are large AI models pre-trained on extensive data and can be adapted for various downstream tasks in industries like healthcare, finance, and customer service. 19:11 💻 Generative AI, like Bard, can assist in code generation, debugging, translation, and documentation. 20:05 🧩 Generative AI tools and platforms, such as Generative AI Studio, Generative AI App Builder, and PaLM API, simplify the development and deployment of gen AI models. Made with HARPA AI
@JohnFarnan-rp5rn
This a great summary of the different kinds of AI and what they are used for. Extremely helpful!
@sreeramch
Simple and Crisp in layman's terms. Thanks for making Data Science available to everyone.
@reshmaramesh222
This is the kind of education we are looking for. Thank you so much for this super simplified explanation.
@DuschiLudewig
Die einfache Erklärung ist sehr positiv zu bewerten.Wenn ich es am Beginn einfach verstehe,setzt sich mein Lernen,weiter einfach voran.Etwas einfach zu begreifen ist "Einfach Genial".❤Dank an die Google.......😍
@vjksy
One best usecase is to run the google generated model to get trained with this video and see how much a fresh model can be created
@rahulvaid9627
🎯 Key points for quick navigation: 00:00 🎓 Introduction to AI Concepts - Overview of the course objectives: defining generative AI, exploring its workings, and understanding its applications. - Definitions of artificial intelligence and the relationship between AI and machine learning, explaining AI as a discipline similar to physics. 02:20 🤖 Supervised vs Unsupervised Learning - Explanation of how supervised learning uses labeled data for predictions, with an example of tip prediction. - Discussion on unsupervised learning's focus on discovery and grouping data, using clustering employees as an example. 04:13 🧠 Deep Learning and Generative AI - Introduction to deep learning as a subset of machine learning using artificial neural networks and how it processes complex patterns. - Description of generative AI as part of deep learning that uses neural networks to generate new content based on existing data. 06:06 📸 Generative vs Discriminative Models - Clarification on the difference between generative models that create new data and discriminative models that classify data. - Illustration of how generative models can generate images, while discriminative models label data. 09:18 🐾 Evolution of AI Models - Insight into the progression from traditional programming, neural networks, to generative models like PaLM and LAMBDA. - Generative models use large data sources to generate comprehensive responses by simply asking a question. 11:10 📚 Defining Generative AI - Explanation of generative AI as creating new content from learned patterns in existing content, using models like large language models. - Overview of how generative models take inputs and predict likely outputs, producing novel data like text and images. 13:32 🔍 Transformers and Hallucinations - Introduction to transformers, encoder-decoder structures that enhance generative AI capabilities. - Discussion on hallucinations in transformers, where nonsensical outputs may occur due to various factors. 15:27 🔄 Task-Specific Model Types - Description of different model types including text-to-text, text-to-image, and text-to-task models. - Explanation of how foundation models pre-trained on vast data can adapt to a wide range of tasks across industries. 18:42 💻 Code Generation and Application - Example of code generation using Bard for problems like converting Python to JSON and exporting code to Jupyter Notebooks. - Overview of how generative AI tools support debugging, customs queries, and language translation. 20:05 🛠️ Generative AI Tools and Applications - Introduction to Generative AI Studio and Gen AI App Builder for developing and deploying AI models and applications without extensive coding. - Explanation of the PaLM API and Maker suite for prototyping and experimenting with large language models efficiently. Made with HARPA AI
@swapnilthakur270
simply the best explanation i can say ! Thank You
@ebenezeruche508
Very helpful content.... The content is easy to understand and interactive
@jaibalasubramaniyan7788