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Learn with Vichu
India
เข้าร่วมเมื่อ 30 มิ.ย. 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
มุมมอง: 5 122
วีดีโอ
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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!
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New ChatGPT Killer | Nemotron-70B From NVIDIA | Opensource LLM King
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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...
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Can we do the same for oracle database??
You just need to add that database functionality, try it. If you face any issues then contact me.
Simple and brilliant explanation ❤
each an everyone's comment is re-echo'd from me... thanks for your effort!!!
Best of luck and thanks Vishu for easy to understand video..🎉
hi bro where are the other videos continuation to this?
Kindly explain the difference/significance between sync and async in this context
👏 amazing
can you build an ai flight booking agent and interact with a wbe ui
Please share your complete requirements.
@@learnwithvichu to use agent flight booking - to make booings -
Develop a robust and user-friendly flight booking agent that leverages Pydantic AI for data validation, model definition, and efficient data handling. The agent should allow users to search for flights, compare prices, and book tickets seamlessly. Functional Requirements: User Interface: Search Functionality: Allow users to input the following: Origin Airport Destination Airport Departure Date Return Date (optional for one-way trips) Number of Passengers Class (Economy, Business, First) Preferred Airlines (optional) Implement robust input validation using Pydantic models to ensure data integrity. Flight Search Results: Display a list of available flights, including: Airline Flight Number Departure/Arrival Times Duration Number of Stops Prices Enable sorting and filtering of results based on price, duration, number of stops, and airline. Booking Process: Allow users to select a flight and proceed to the booking page. Collect passenger information (name, contact, etc.) using Pydantic models for data validation. Display a summary of the booking with a breakdown of costs. Implement secure payment processing integration (e.g., Stripe, PayPal). Issue electronic tickets and confirmations. Data Handling: Flight Data Acquisition: Integrate with a flight data API (e.g., Amadeus, Skyscanner, Google Flights) to retrieve real-time flight information. Implement efficient data fetching and caching mechanisms to minimize API calls and improve performance. Data Model Definition: Create Pydantic models to represent: Airports (code, name, city, country) Airlines (code, name) Flights (origin, destination, departure_time, arrival_time, duration, price, etc.) Passengers (name, contact, etc.) Bookings (flight, passengers, payment, etc.) Leverage Pydantic's data validation features to ensure data consistency and prevent errors. Pydantic AI Utilization: Data Validation: Utilize Pydantic's rich type annotations and validation rules to ensure data integrity throughout the application. Data Modeling: Define clear and concise data models using Pydantic to represent all application entities. Data Serialization/Deserialization: Leverage Pydantic's built-in serialization and deserialization capabilities for efficient data exchange between different parts of the application. Data Transformation: Use Pydantic to transform and manipulate data as needed for various operations (e.g., filtering, sorting, calculating prices). Non-Functional Requirements: Performance: The application should be highly responsive and efficient, with minimal latency during flight searches and booking processes. Usability: The user interface should be intuitive and easy to navigate, providing a seamless and enjoyable user experience. Security: Implement robust security measures to protect user data and prevent fraud. Scalability: The system should be designed to handle a growing number of users and flight searches. Maintainability: The codebase should be well-structured, documented, and easy to maintain and update.
@@fancypetsulove Done
so full off bugs it`s making it useless, suddenly shutsdown during conversation, issues when downloading models, closes when switching between models etc
I use PocketPal and don't have any issues, maybe the problem is your phone.
Nice vídeo. PydanticAI have “state” like langgraph?
We can say it something similar to lang graph but it deals with updating the user details in run time,,,we may or may not do with lang graph built in functionalities.
Your explanation is very good..
u should do more projects tbh
Good luck from Morocco , Keep going , You can make it (y)
This is amazing .i setup in my local with sql server dB ..working fine
This is awesome
Is this works even if you have no interet connection?
Yes
Fantastic 🙌🙌
For a beginner, I’m glad to have found your channel today. Your way of explaining really suits me. If you have the time, could you redo this tutorial with less token usage and suggest which open-source tools I can use here?
First, many thanks for your clear explanation. What is the best advice for a beginner when choosing between Pydantic and LangChain to start with agentive AI.
Pydantic is easy to learn and very straightforward but it is in a very early stage. Langchain and llama-index is there for quite a long time and well suited for end to end development, it has everything that we need to build an AI Agent. My suggestion would be either langchain/langgraph or llama-index. Moreover If you understand how an AI agent works then the framework does not matter, you can learn any framework in just 1 or 2 days. Try to build an agent from scratch in plain Python, it will help you a lot. Happy Learning
Very underrated channel despite giving quality of contents. ❤❤
What you mean by Difference between previous centroid and current centroid??
Nc
This is amazing work...!. Thanks for creating the video and sharing the code 🙏
This is brilliant work. Thanks for creating the video and sharing the code 🙏. I would be actively sharing your video channel link in my network.
Glad you liked it!
Great video Vishnu. Can you share your code please? Thanks!
What is RunCOntext? i font understand that ctx : RunCOntext code. Please explain. Thanks
Perfect
Hi bro I'm pavan im a Gen Ai engineer....I'm working to build a medical ceiling assistant. Im using The bolt .New Ai...I completely. 90% build succes but I have issue they the i got and Error Opna AI model GPT 4 and the ApI key was not working problem. How i can trouble shoot not understand can u help me on this
Sure, get my mail id from GitHub and share your contact.
Bro create with interface for chatting
Can you use this as a phone assistant that pops up below ur phone
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.
I am one of your followers in linkedin 😀....
@@learnwithvichu Nice.
Nice
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 🥺