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Learn with Vichu
India
Приєднався 30 чер 2021
✨ **Welcome to Your Fun AI Learning Hub!** ✨
Are you looking to learn **machine learning**, **deep learning**, and **generative AI** in an exciting and engaging way? Then this channel is just for you! 🚀
🎥 **What You’ll Find Here:**
- 📊 Videos on **Python**, **Machine Learning**, and **Deep Learning**
- 🤖 Latest insights on **Generative AI (GenAI)**
- 🎓 Learn cutting-edge concepts as I explore them myself!
🔍 Whether you're just starting out or you're a seasoned pro, join me in mastering the world of AI! Let's make learning fun and interactive. 🔥
Are you looking to learn **machine learning**, **deep learning**, and **generative AI** in an exciting and engaging way? Then this channel is just for you! 🚀
🎥 **What You’ll Find Here:**
- 📊 Videos on **Python**, **Machine Learning**, and **Deep Learning**
- 🤖 Latest insights on **Generative AI (GenAI)**
- 🎓 Learn cutting-edge concepts as I explore them myself!
🔍 Whether you're just starting out or you're a seasoned pro, join me in mastering the world of AI! Let's make learning fun and interactive. 🔥
PydanticAI: Build Production-Ready AI Agents! 🔥
Discover **PydanticAI**, the revolutionary framework designed to simplify building production-grade applications with Generative AI. Built by the team behind Pydantic-the validation powerhouse in Python libraries like OpenAI SDK, Anthropic SDK, LangChain, and more-PydanticAI offers:
✅ **Model-agnostic support** (OpenAI, Gemini, Groq, and more)
✅ **Type-safe development** for structured and reliable AI workflows
✅ **Streamed responses** with real-time validation
✅ **Dependency injection** for seamless testing and iterative development
✅ **Logfire integration** for debugging and monitoring
If you love frameworks like FastAPI, you'll feel right at home with PydanticAI. Learn how this innovative tool can supercharge your Generative AI projects.
💡 **Watch now and take your AI app development to the next level!**
🔗 **Resources:**
- PydanticAI Documentation: [ai.pydantic.dev/]
#PydanticAI #generativeai #python #aidevelopment #aiagents #langchain #langgraph #llamaindex #artificialintelligence #datascienceprojects #datascience #genai #techprojects
✅ **Model-agnostic support** (OpenAI, Gemini, Groq, and more)
✅ **Type-safe development** for structured and reliable AI workflows
✅ **Streamed responses** with real-time validation
✅ **Dependency injection** for seamless testing and iterative development
✅ **Logfire integration** for debugging and monitoring
If you love frameworks like FastAPI, you'll feel right at home with PydanticAI. Learn how this innovative tool can supercharge your Generative AI projects.
💡 **Watch now and take your AI app development to the next level!**
🔗 **Resources:**
- PydanticAI Documentation: [ai.pydantic.dev/]
#PydanticAI #generativeai #python #aidevelopment #aiagents #langchain #langgraph #llamaindex #artificialintelligence #datascienceprojects #datascience #genai #techprojects
Переглядів: 1 582
Відео
🎥Turn Any Video into a Blog Post in Minutes! ✍️
Переглядів 182Місяць тому
Welcome to my latest video, where I demonstrate an innovative tool that transforms video content into comprehensive blog posts in just a few simple steps! Project Overview: The Video to Blog Post Generator identifies "stable frames" in videos-segments where the frame changes very little over time. By analyzing both visual and audio elements, this tool captures key moments, extracts still frames...
🛠️ Build Your Own Code Interpreter from Scratch! 🚀 | Step-by-Step Build Guide!
Переглядів 293Місяць тому
# 🛠️ Build Your Own Code Interpreter from Scratch! 🚀 In this video, I walk you through the process of creating an Open-Source Code Interpreter from scratch using a Jupyter Server . Why pay for premium tools when you can build your own? With this powerful, customizable interpreter, you'll be able to: - 🐍 Run Python code directly in a sandboxed environment. - 📊 Process diverse files with data and...
Your Offline AI Assistant on Android! : PocketPal AI
Переглядів 1,1 тис.2 місяці тому
Here’s a beautiful and detailed description for your PocketPal AI video: Welcome to PocketPal AI - your personal, pocket-sized AI assistant that works without an internet connection! In this video, I walk you through the simple steps to download and configure PocketPal AI on your Android device. Whether you’re on the go or in a low-connectivity area, PocketPal AI lets you interact with advanced...
Mind-Blowing AI Agent: Your Personal Web Search Assistant!
Переглядів 5652 місяці тому
Discover our cutting-edge Web Browsing AI agent that answers your questions by intelligently searching both internal databases and the web! 🚀 Using DuckDuckGo for URL collection, Crawl4AI for web scraping, and advanced technologies like SemanticTextSplitter and sentence-transformer models for embeddings, this AI delivers precise answers in seconds. Watch how hybrid search merges the best of sem...
My AI Assistant: It Knows What I Know! | Built From Scratch
Переглядів 2,5 тис.2 місяці тому
In this video, I introduce my AI agent that works as a Secondary Brain ! Imagine having an assistant that remembers everything for you-whether it’s ideas, useful information, or reminders. My AI agent can store , update , and delete information as needed, helping me offload mental tasks and access everything I need, exactly when I need it. No more forgetting important details or sifting through...
Agentic Text-to-SQL From Scratch: Convert Natural Language to SQL Queries | From Scratch.
Переглядів 6242 місяці тому
In this video, I walk you through my Agentic Text-to-SQL project, an AI agent that converts natural language text into SQL queries. Learn how the agent works, from understanding user queries to generating and executing SQL on the fly. I also provide a step-by-step guide to help you run this project on your own machine. Whether you're a developer or data enthusiast, this video will show you how ...
New ChatGPT Killer | Nemotron-70B From NVIDIA | Opensource LLM King
Переглядів 5512 місяці тому
In this video, I take you through NVIDIA's groundbreaking new model, Nemotron, which is making waves in the AI community by outperforming both GPT-4o and Sonnet in various benchmarks! Based on the innovative Llama architecture, Nemotron is completely open-source, opening up new possibilities for developers and researchers alike. Join me as I test its performance against these top models, sharin...
My Data Analyst Copilot: AI-Powered End-to-End Data Analysis Tool
Переглядів 6862 місяці тому
Discover the future of data analysis with the Data Analyst Copilot, an AI-powered tool designed to simplify your entire data workflow. In this demo, I show how users can upload Excel files and let the AI handle everything from data cleaning and exploratory analysis to visualization and even machine learning model building. Watch as I demonstrate how this tool can streamline your data analysis p...
How to Stay Updated in Your Field?
Переглядів 232Рік тому
In today's fast-paced world, staying ahead in your field is not just an advantage - it's a necessity. Whether you're a data scientist, a professional in another industry, or a lifelong learner, keeping up with the latest trends and developments is crucial for success. Join us in this informative video where we share valuable strategies and tips on how to effectively stay updated in your field. ...
🔥 Perfect Trick To Get Your First Job Quickly.
Переглядів 127Рік тому
Are you struggling to land your first job? In this video, we'll reveal the perfect trick to accelerate your job search and secure that first position in no time! As a seasoned data scientist, I understand the challenges you may face, and I'm here to share valuable insights that have helped countless individuals kickstart their careers. In this video, you'll learn: 1.Proven strategies to craft a...
Best 10 YouTube Channels to Learn Data Science in 2024 | Top Data Science Tutorials.
Переглядів 305Рік тому
🚀 Looking to master Data Science in 2024? You're in the right place! In this video, we've curated the top 10 UA-cam channels that offer the most comprehensive and up-to-date tutorials on Data Science. Whether you're a beginner or looking to advance your skills, these channels cover everything from basics to advanced topics. Don't miss out on these invaluable resources! 🔍💡 🔗 Channel Links 🔗 1.St...
How to Clone Anyone's Voice in Under 2 Minutes!
Переглядів 317Рік тому
Description: Welcome to our channel! In this tutorial, we're diving into the incredible world of voice cloning using the amazing AI tool from 11 Labs. Get ready to unlock the power of voice replication and learn how to clone anyone's voice effortlessly in under 2 minutes! 11 Labs has revolutionized the way we approach voice cloning, making it accessible to everyone. Whether you want to mimic a ...
Deep Fakes are Just One Click Away Now. We can change face in videos with just one photo.
Переглядів 816Рік тому
Deep Fakes are Just One Click Away Now. We can change face in videos with just one photo.
Linear Regression Interview Questions and Answers
Переглядів 555Рік тому
Linear Regression Interview Questions and Answers
11. Recursive Feature Elimination | Feature Selection |
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11. Recursive Feature Elimination | Feature Selection |
10. Exhaustive Feature Selection | Wrapper Method |
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10. Exhaustive Feature Selection | Wrapper Method |
9. Backward Feature Selection | Wrapper Method | Feature Selection.
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9. Backward Feature Selection | Wrapper Method | Feature Selection.
8. Forward Feature Selection | Wrapper Method |
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8. Forward Feature Selection | Wrapper Method |
7. Chi-Square Clearly Explained | Feature Selection Using Chi-Square | Chi-Square by hand |
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7. Chi-Square Clearly Explained | Feature Selection Using Chi-Square | Chi-Square by hand |
6. How to perform ANOVA by hand | ANOVA | Feature Selection using ANOVA |
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6. How to perform ANOVA by hand | ANOVA | Feature Selection using ANOVA |
5. ANOVA Clearly Explained | Feature Selection using ANOVA | ANOVA by hand |
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5. ANOVA Clearly Explained | Feature Selection using ANOVA | ANOVA by hand |
4. Feature selection using Correlation Threshold #machinelearning #deeplearning #datascience
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4. Feature selection using Correlation Threshold #machinelearning #deeplearning #datascience
3. Feature selection using variance threshold
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3. Feature selection using variance threshold
1. What is feature selection? and why it is important? #machinelearning #deeplearning
Переглядів 1,2 тис.Рік тому
1. What is feature selection? and why it is important? #machinelearning #deeplearning
10# How Skipgram Works | word2vec | NLP
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10# How Skipgram Works | word2vec | NLP
9# How Continuous Bag of words works | Word2Vec | NLP
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9# How Continuous Bag of words works | Word2Vec | NLP
8# What is Word embedding in NLP | Word2Vec | NLP
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8# What is Word embedding in NLP | Word2Vec | NLP
7# Term Frequency and Inverse Document Frequency | TF-IDF | NLP
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7# Term Frequency and Inverse Document Frequency | TF-IDF | NLP
Great new channel find. Nice teaching style, thx. Have been building with swarm and this flushes out the functionality that is missing.
Nice video. Can you please tell me which screen recording software you are using to record your videos?
I am using OBS.
@@learnwithvichu Thanks for sharing the details.
Kis karigar ne banaya hai iss mujasma ko ✅
Very Well Explained...Brilliant Animations !!!
Thank you for the informative video and explanation. Could you please share the URL to your notebook or the code?
Can you create a video with react and ai agent connection
Sure will do..
what about next to do on mobile please store in the mobile the information? feasible?
Thank you so much 40 vidio dekhane ke baad samjh me aaya apki ki vidio se
Thank you, Vichu. Nice, clear work. PydanticAI has great potential.
Well done, thank you
Any oneproblem
What is feature selection?
@@rishception i In the same playlists, watch the first video. I explained it in detail.
Nice
the GitHub link doesn't exist
Nothing wrong but feels lil weird when you are saying it as chai.. it's actually kai.. great content otherwise! Thank you for sharing with us.
According to You Phi 3.5 mini best among all others ??
I did not compare these models.. I just wanted to show you how you can use them in android. Just for demo I used phi 3.5
actually that was cool bro, your teaching like," Simple and humble is temple of GOD "
You used open ai api key , does this need paid version of openai ?
Yes....
Very nicely explained 😘😘😘
Brother , make the tutorial series for this please 🥺
please upload more videos of Algorithms... your video are the most understandable I have ever seen
Thanks a lot.... Sure will make more videos
Please upload a full project tutorial for this
Keep up the good work 💪
hi bro i want to connect you where can i
You can fine my email in the GitHub Page
Bro will you make a news summarizer ai
@@king-zg8ds 🆗 👍
@@learnwithvichu Hey, you have forgotten about my request for t-test. Please, Vishnu, please make that one.
@nailahasan7827 hey 👋.... I am working on a complete statistics course.... Give me some time.
@@learnwithvichu Sounds cool :)
I can easily understand this topic, I want this type of vedios. All the best keep it move more vedios 👍👍👍👍
very cool thanks. I am facing issue to use with my own GPU nividia with python but not working can you make a video on this asap. thanks
If i upload a different excel which has different context of what ever the column or data is . Will it still help or tweaks are required based on the data we upload?
@@89vivekraja you can upload any Excel file it will work... Maybe you can modify the prompt if you want it to behave in a certain way.... But it should work with any kind of dataset.....
Good vichu.
Bro, me too actually done similar agent like this. Great work ✨
Do we need to have a paid open api account for this to work?
@@BharathKumarSampath yes..
@@learnwithvichu there are lot of people including myself , don’t have that much money to buy a subscription, so let me know if there are any libraries that are completely open source, or if we can use models like lama on top of swarm.
Hay Sampath you can use open-source LLMs through Ollama. You just need to set your open-ai model to : llama3.2 or the model yiu want to use and the base url to your ollama local host endpoint. By this way you can use this for free
Vichu your channel will hit roof fast, keep it up. Excellent 🎉🎉🎉
@@60pluscrazy Thanks a lot... 😊
Brilliant 🎉🎉🎉
BRO PLZ PROVIDE YOUR LINKDIN PROFILE LINK🧠🙏
Here it is : www.linkedin.com/in/vishnu-d-121650167
Great work!! Curious if it can summarize documents or answer questions based on the information present in documents?
Thanks.... Right now it does not support file upload and summarisation but we can add this feature as well. The Agent is highly customizable. Let me know if you need any help on this...
This video is very detailed and helpful. Thanks for sharing it bro 🫶
Glad it was helpful!
Great work. I haven't looked at the code yet, but what embedding model are you using to create embeddings and which LLM are you using to translate the chunks to paragraphs, and what are the min specs for the machine on which it will work reasonably?
This a simple RAG application so I am using All-miniLM-L6-v2 for embedding and gpt-4o mini for text generation. If you are looking for something even better, In my other video i explained about Hybrid Search using Qdrant check it out.
Good attempt👍👍👌🏻
Nice work, still your soft is using Lang for chat still doesn't do any GenAI based on documents. For example if I have multiple Vichu docs related to different thing, can it be able to retreive something like "I'm trying to remember Vichu work about memory, please tell me its documents" ?
I am bit confused. Could you please rephrase it in a different way.?
Thanks for sharing 😊 Keep up the good work...
Bro provide full tutorial for this AI project (step by step). 😊
@@sambitsahoo3919 You mean.... a tutorial on how to make this Agent from scratch?.
Hlw ..can u provide the full tutorial for data analysis AI project
This is something new
Wondefull
Wonderfull Means by using these tools company does not need power bi dashboard. Am I right??
@@CkGupta-m1l Yes....
Super
Very straight foward. Great tutorial!
Holy shit you just gave me the gotcha moment for how kmeans iterates. Calculating the mean of each cluster and using that as the new centroid made it click.
Thanks so much for the clear explanation. I compare the result by using chi2 in sklearn and it is not equal. Would you have any idea how to calculate chi2 in sklearn by hand?
Your course is amazing, bro.🤗....