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The Cloud Girl
Приєднався 7 жов 2009
I share about cloud computing technology on this channel. You can learn about cloud infrastructure, databases, virtual machines, machine learning, data science in the cloud and more!
Open vs Open Source Large Language Model
Open vs. Open-Source Large Language Models: What's the difference between Open and open source models
Large Language Models (LLMs) like Gemini, GPT-4 and LLaMA are revolutionizing AI, but understanding the distinction between "open" and "open-source" is crucial. In this video, we'll break down the nuances, advantages, and trade-offs of each model type.
What You'll Learn:
Open vs. Open-Source Defined: Clearly understand the terminology and the implications for access, customization, and commercial use.
Benefits of Open Models: Explore the advantages of models with accessible APIs, including ease of use, scalability, and integration.
Power of Open-Source: Discover the benefits of transparency, community-driven development, and the potential for fine-tuning and customization in open-source models.
Choosing the Right Model: Get expert guidance on selecting the ideal model type for your specific needs and projects.
Whether you're a researcher, a developer, or simply interested in AI, this video will equip you with the knowledge to make informed decisions about leveraging the power of LLMs.
Don't forget to like, subscribe, and hit the notification bell for more AI insights and tutorials!
#LLM #OpenAI #OpenSource #LargeLanguageModels #AI #ArtificialIntelligence #MachineLearning #DeepLearning #GPT #LLaMA #DataScience #Tech #generativeai
Large Language Models (LLMs) like Gemini, GPT-4 and LLaMA are revolutionizing AI, but understanding the distinction between "open" and "open-source" is crucial. In this video, we'll break down the nuances, advantages, and trade-offs of each model type.
What You'll Learn:
Open vs. Open-Source Defined: Clearly understand the terminology and the implications for access, customization, and commercial use.
Benefits of Open Models: Explore the advantages of models with accessible APIs, including ease of use, scalability, and integration.
Power of Open-Source: Discover the benefits of transparency, community-driven development, and the potential for fine-tuning and customization in open-source models.
Choosing the Right Model: Get expert guidance on selecting the ideal model type for your specific needs and projects.
Whether you're a researcher, a developer, or simply interested in AI, this video will equip you with the knowledge to make informed decisions about leveraging the power of LLMs.
Don't forget to like, subscribe, and hit the notification bell for more AI insights and tutorials!
#LLM #OpenAI #OpenSource #LargeLanguageModels #AI #ArtificialIntelligence #MachineLearning #DeepLearning #GPT #LLaMA #DataScience #Tech #generativeai
Переглядів: 69
Відео
How to Architect GenAI Applications: The Ultimate Guide for Developers (2024)
Переглядів 30119 годин тому
Day 10: 10 Days of GenAI: How to architect GenAI applications? Ever wondered how Large Language Models (LLMs) like ChatGPT can answer your questions with such precision and depth? The answer lies in RAG - a revolutionary architecture that combines the power of LLMs with external knowledge bases. In this video, we'll break down the inner workings of RAG, focusing on the crucial role of vector se...
Vector Search and Vector databases Explained in 3 mins!
Переглядів 28521 годину тому
10 Days of GenAI: Day 9 LLM & Gen AI: Vector Search & Vector Databases Explained in 3 Minutes! 🤖 Large Language Models (LLMs) and Generative AI are revolutionizing how we interact with information, but how do they understand meaning and context? Enter vector search and vector databases! 🚀 In this bite-sized video, we'll unravel the magic behind vector embeddings and how they empower LLMs like C...
AI Embeddings Explained in 3 mins!
Переглядів 245День тому
10 Days of Gen AI: Day 8 What are embeddings! AI Embeddings Explained in 3 mins! 🤯 Ever wondered how AI models understand and process information? The secret lies in AI embeddings! ✨ In this quick and easy-to-follow video, we break down the complex concept of AI embeddings into simple terms. Learn how embeddings transform text, images, and even music into numerical representations that machines...
Getting Started with Google Gemini Flash in 5 Minutes!
Переглядів 308День тому
In just 5 minutes, this video will show you how to harness the incredible power of Google's latest AI model, Gemini Flash. This video walks through what is Gemini Flash - Lightweight, fast and cost-efficient large language model while featuring multimodal reasoning and long context window of up to one million tokens. We see an example of how to use Gemini Flash with Google Cloud Vertex AI for e...
Difference between Fine tuning and Retrieval Augmented Generation (RAG)
Переглядів 334День тому
10 Days of Gen AI: Day 7 Fine-Tuning vs. RAG: Which Approach is Right for Your LLM Project? Large Language Models (LLMs) are transforming the AI landscape, but how do you optimize them for your specific needs? In this video, we'll break down the key differences between two powerful techniques: fine-tuning and Retrieval Augmented Generation (RAG). What You'll Learn: Fine-Tuning explained: Unders...
Fine Tuning LLM Models
Переглядів 30414 днів тому
10 Days of Gen AI: Day 6 Fine tuning LLM models. Large Language Models (LLMs) are powerful, but did you know you can make them even BETTER? In this video, we dive into the concept of fine-tuning, the process of customizing LLMs to excel at specific tasks and domains. What You'll Learn: The Basics: What is fine-tuning and why it's a game-changer for AI applications. How It Works: A step-by-step ...
What is Retrieval Augmented Generation (RAG)?
Переглядів 51414 днів тому
Day 5: 10 Days of GenAI: An into to RAG? Retrieval Augmented Generation explained. In this video, you'll learn about Retrieval-Augmented Generation (RAG), an AI technique that combines large language models with external knowledge bases to improve the accuracy and reliability of LLM-generated text. Discover how RAG works and how it can be used to enhance AI applications. #10daysofgenAI #generat...
A guide to the different types of prompt engineering
Переглядів 49914 днів тому
10 Days of Gen AI: Day 4 - How to get started with prompt engineering? What are the different types of prompt engineering techniques? Unleash the full potential of AI with prompt engineering! This video breaks down the different types of prompts you can use to get exactly what you want from large language models. Learn about one-shot, few-shot, chaining of thought, and more! Master the art of c...
Getting started with Generative AI
Переглядів 54014 днів тому
#10DaysOfGenAI10 Days of Gen AI: Day 3 - How to get started with Generative AI? How to get started with Gen AI? Curious about AI that creates art, writes stories, or even codes? This video is your friendly introduction to Generative AI! We'll break down the basics in simple terms, no tech jargon required: What is it? Discover how Generative AI goes beyond recognizing patterns and actually creat...
Large Language Models explained
Переглядів 79314 днів тому
10 Days of Gen AI: Day 2 - How do Large Language Models work? Dive into the world of Large Language Models (LLMs) - the AI powerhouses behind ChatGPT, text generation, and more! 🧠 In this video, we'll break down the basics of LLMs, exploring: What are LLMs? Discover how these massive AI models are trained on colossal datasets to understand and generate human-like text. How do they work? Uncover...
What IS Generative AI? An Intro!
Переглядів 1,7 тис.14 днів тому
10 Days of Gen AI: Day 1 - What IS Generative AI? (And Why You Should Care!) Ever heard of AI that writes poems, makes art, or even helps you code? That's Generative AI, and it's changing the game. In this first video, we'll break down the basics: What is Generative AI? It's not just about recognizing faces or recommending movies - this AI creates things. Think of it as the ultimate creative co...
Understanding Temperature, Top-K & Top-P: Your Guide to LLM Creativity
Переглядів 493Місяць тому
Unlock the creative potential of AI text generation! In this video, we'll unravel the mystery behind three essential settings: Temperature, Top-K, and Top-P. Learn how to fine-tune your AI model's output, from factual responses to wildly creative text. Whether you're using ChatGPT or another AI tool, mastering these controls will help you get the most out of your text generation experience. Her...
How to Build Your First App with the Gemini 1.5 Pro API (Step-by-Step Tutorial)
Переглядів 1,4 тис.Місяць тому
Have you been wondering how to get started with LLMs? Well, stop wondering, in this video you will learn to building your own application using Gemini 1.5 Pro. In this comprehensive step-by-step tutorial, we'll guide you through the process of building your first application using the Gemini 1.5 Pro API. Even if you're a complete beginner with no prior coding experience, this video will equip y...
What is Infrastructure as Code (IaC)? | What is Terraform?
Переглядів 2,2 тис.Рік тому
What is Infrastructure as Code (IaC)? | What is Terraform?
Choose your database on Google Cloud
Переглядів 27 тис.2 роки тому
Choose your database on Google Cloud
What is Cloud Spanner | Cloud Spanner Explained | Cloud Native Relational Database
Переглядів 9 тис.2 роки тому
What is Cloud Spanner | Cloud Spanner Explained | Cloud Native Relational Database
Introduction to Firestore | NoSQL Document Database
Переглядів 8 тис.2 роки тому
Introduction to Firestore | NoSQL Document Database
No code data wrangling with Dataprep #GCPSketchnote
Переглядів 7 тис.2 роки тому
No code data wrangling with Dataprep #GCPSketchnote
The battle of relational and non-relational databases | SQL vs NoSQL Explained
Переглядів 48 тис.3 роки тому
The battle of relational and non-relational databases | SQL vs NoSQL Explained
What is Cloud Bigtable? #GCPSketchnote
Переглядів 7 тис.3 роки тому
What is Cloud Bigtable? #GCPSketchnote
Top 7 Reasons to pick Google Cloud | Why Google Cloud
Переглядів 3,2 тис.3 роки тому
Top 7 Reasons to pick Google Cloud | Why Google Cloud
What is DNS? | How a DNS Server (Domain Name System) works | DNS Explained
Переглядів 57 тис.3 роки тому
What is DNS? | How a DNS Server (Domain Name System) works | DNS Explained
What is OSI Model? | The OSI Model Demystified | OSI Model Explained
Переглядів 6 тис.3 роки тому
What is OSI Model? | The OSI Model Demystified | OSI Model Explained
Difference between object store, block store and file store | Google Cloud Storage options
Переглядів 19 тис.3 роки тому
Difference between object store, block store and file store | Google Cloud Storage options
How to transfer data to Google Cloud? #GCPSketchnote
Переглядів 17 тис.3 роки тому
How to transfer data to Google Cloud? #GCPSketchnote
What is Persistent Disk? #GCPSketchnote
Переглядів 7 тис.3 роки тому
What is Persistent Disk? #GCPSketchnote
This book is simply amazing. Congrats!
thank you for the shared knowledge and you present the content very clearly and pretty manner. Love it. keep it up.
Wonderful AGAIN, thanks a lot, SUBSCRIBED 🙂
Very good video, really appreciated it. I would like to understand DDNS, I do have one, have not used for a long time, do not even remember why I got a DDNS with a service provider. Thank you again.
So, Free and closed source Model Vs Free and Open source model
Say less, I am buying this book now
Thanks!! :) Looking forward to hear what you think about the book after you read it.
I had the pleasure of reading some of your initial works on Google Cloud Platform when I first started learning about it in English. They were helpful and insightful
What a helpful walkthrough, thank you Priyanka!
Great .....keep up the good work
LLM will only engage the RAG feature only if it doesn't have an answer to the prompt. If the same prompt is asked again, there is no need for RAG as the LLM has learned the relevant information earlier. Is this understanding correct?
Can we import this to android studio? Please provide a roadmap to build an application for the Gemini Api Competition.
clear and concise Learning
What are those annoying beeps.
Thanks so much 🎉
Excited to learn
This is really simple to grasp. Loving this series ❤️
Short and crisp description!!
Thanks!!
Interesting!!
Thanks!
Priyanka, appreciate your efforts around the Ongoing GenAI series !!
Thanks!! I am glad you are finding it valuable.
The *so very rich* three minutes!
Thank you! Glad to hear.
Liking this series of videos, it would be more appealing for visual learners like me to see some of your famous illustrated references like in your "Visualizing Google Cloud' book.
you say "...fine tune it on thousands of images labeled with different types of skin problems", when *no* skin problems labelled images are given to the model? it already have them cause it's pre-trained? thanks a ton!
why don't you just upload new video, why littering people's feed?
why that "littering" ?
Great!
a w e s o m e
heeella interested in high temperature, here! 😃 i'd like to _view_ (actually view!) highest temperatures in acton... do you think it will be possible, one day, as dev/innovator? (your videos are really rare precious stuff 🖤!!)
Thank you so much for doing this series! 😊
Thanks!! Glad you like it.
Easily one of the best teachers out there! Thanks namesake ❤️
Thanks!!
r u from tamil nadu?
Great example
Very good explanation u made it very clear to understand
Thank you!!
Great work! The background music is a little bit annoying though. Specially for nonnative speakers like me 😅
Thanks for feedback.
Very nicely explained
Thank you!
Thank you Priyanka, can we get a video on different DNS record types and how to use each?
Thanks for the feedback. I will work on it.
Video ya ktombana
I really loved the way you represent a whole lot of info in understandable Sketches. Thank yo so much @Priyanka!
Gor it from.barnes and nobles ,loved reading it.
This is the best channel! You have a talent to simplify complicated topics. ✨✨
Thank you!
Thank you for this, please how do we interact with our model after creation, thanks!
Hi Linda, could you expand on what you mean by “interact”?
Do you mean how to use the model?
Nice 👍
Thanks ✌
Mam do you have any courses on Google cloud ?
This explanation was very easy to understand- thank you!
Glad it was helpful!
The video is great! Just an FYI, the audio cuts out around 3:41 for about 10 sec.
Thanks for letting me know.
i just love her dimples
Subscribed
amazing video about Google Cloud Databases
Хочу госпожу, котоораая бы заставляла себя ублажать,
Well thats simple , great 👍
Thanks 👍
Thank you
Got mine today in the mail, can’t wait!