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Добавлен 20 окт 2024
Multi AI Agents System Tutorial | Use Case: How to Use CrewAI to Rewrite Your Resume Like a Pro
🎯 Want to land your dream job? In this tutorial, I will show you how to use #crewai Multi Ai Systems to rewrite and optimize your resume for maximum impact. Daily tasks like this can be delegated to AI to automate. Whether you are new to AI, this ai agents tutorial for beginners will show you how to leverage AI Agents to create an automated pipeline for repeated tasks, so you can save your time to do something more important either at work or at home!
🔍 What You Will Learn:
- Step-by-step guide to design pipeline for multi-AI Agent Systems
- Real-world use case: How I used the Crew AI framework to automate resume reviews and rewrites
Code: github.com/khanhvy31/Multi-Ai-Agents
Single Agent:...
🔍 What You Will Learn:
- Step-by-step guide to design pipeline for multi-AI Agent Systems
- Real-world use case: How I used the Crew AI framework to automate resume reviews and rewrites
Code: github.com/khanhvy31/Multi-Ai-Agents
Single Agent:...
Просмотров: 717
Видео
Mastering AI Agents Concept: Create an AI Agent Within 10 Minutes Using Crew AI
Просмотров 2,3 тыс.14 дней назад
Dive into AI development's future with the crewAI framework tutorial! To get an API: serper.dev/ platform.openai.com/docs/overview CrewAI: www.crewai.com/ Code: github.com/khanhvy31/AI_Agent Discover how crewAI streamlines the process of building intelligent AI agents by perfectly integrating large language models like GPT-4. In this tutorial, I will cover the key roles-Role, Goal, and Backstor...
Chuyển Đổi Giọng Nói Tiếng Việt Sang Văn Bản Bằng Whisper AI & Xử Lý Tệp Lớn - Hướng Dẫn Chi Tiết
Просмотров 435Месяц назад
Trong video hôm nay, mình sẽ giới thiệu về khả năng chuyển đổi giọng nói sang văn bản của mô hình Whisper AI. Liệu nó có thể nhận diện tiếng Việt của mình hay không? Mô hình này hỗ trợ nhiều ngôn ngữ, nhưng cũng gặp một số thách thức, đặc biệt với kích thước tối đa chỉ 15 Megabyte. Đến với video này, mình sẽ tìm hiểu: 1. Cách Whisper AI hoạt động và khả năng nhận diện ngôn ngữ. 2. Những thách t...
How I Learn To Create an Advanced Chatbot in Less Than 15 Minutes: GPT3.5 Turbo with Streamlit
Просмотров 1,2 тыс.Месяц назад
Welcome to Part 3 of our chatbot tutorial series! In this video, I will go through the exciting process of setting up an advanced chatbot using OpenAI's GPT-3.5 Turbo model and Streamlit. Don't worry you’re a beginner, this tutorial is perfect for anyone looking to enhance their application with conversational AI. Check out part 1: ruclips.net/video/F-wmFhzlDP4/видео.html Part 2: ruclips.net/vi...
Getting Started with Kaggle: Set Up Your First Kaggle Project with Jupyter Using Google Colab
Просмотров 165Месяц назад
Join me for this tutorial that will walk you through setting up your first Kaggle project, no prior experience is needed! We’ll explore how to navigate Kaggle’s platform, efficiently download datasets, and set up your Jupyter Notebook using Google Colab for a seamless workflow. Perfect for beginners, this step-by-step guide will have you ready to dive into data science in no time. Let’s get sta...
![[VIE/Vlog] Học Dữ Liệu: Nên Hay Không? | Lời Khuyên Cho Các Bạn Học Sinh & Sinh Viên](http://i.ytimg.com/vi/4TMuYNtX_iQ/mqdefault.jpg)
[VIE/Vlog] Học Dữ Liệu: Nên Hay Không? | Lời Khuyên Cho Các Bạn Học Sinh & Sinh Viên
Просмотров 128Месяц назад
Trong video này, chúng ta sẽ cùng khám phá một chủ đề nóng hổi: "Học Dữ Liệu, Nên Hay Không?" Với sự phát triển mạnh mẽ của công nghệ và dữ liệu, việc làm trong ngành khoa học dữ liệu đang trở thành xu hướng. Tuy nhiên, liệu đây có phải là con đường phù hợp cho bạn? Chị nhận được các câu hỏi này khá nhiều từ các bạn mentee. Hãy cùng tìm hiểu qua hai câu hỏi này nhé Học sinh cấp 3 có nên học kho...
Wharton School s Analytics Accelerator - Sharing
Просмотров 108Месяц назад
#experientiallearning #data #analytics During the Fall 2023 Analytics Accelerator with Analytics at Wharton, students from across the University of Pennsylvania worked with companies like Align, IKEA, TaskRabbit, and Zillow to harness their real-world data and provide actionable business solutions. Hear from Khanh Nguyen, Technical Engagement Lead with Team Zillow, about her experience with the...
Working With Text-to-Speech: Bark vs. Microsoft SpeechT5 vs. ElevenLabs - Which Reigns Supreme?
Просмотров 670Месяц назад
Exploring text-to-speech technology with my review of Bark, Microsoft SpeechT5, and ElevenLabs. In this video, I break down each model's features, performance, and quality to find out which delivers the best voice synthesis experience. Whether you are a developer, content creator, or tech enthusiast, this showdown will help you choose the perfect TTS tool for your needs. In my case, I need a vo...
Build a Chatbot in 15 Minutes with Streamlit & Hugging Face Using DialoGPT
Просмотров 794Месяц назад
Welcome to Part 2 of my chatbot tutorial series! In this video, I will go through how to quickly set up a chatbot using Hugging Face's DialoGPT and Streamlit. We will obtain the necessary code from Hugging Face, understanding the Streamlit documentation, and seamlessly integrating the chatbot's backend with a user-friendly Streamlit frontend. Join us as we break down the process step-by-step, a...
Getting Started with DialoGPT and Virtual Environments | Hugging Face Tutorial | AI Series #1
Просмотров 2132 месяца назад
In this tutorial, I will walk you through the basics of setting up and using DialoGPT, a powerful conversational AI model from Hugging Face. Learn how to create and manage virtual environments for a seamless development experience. Whether you're a beginner or looking to expand your AI skills, this video will guide you through each step of how to create your virtual environment. Don't forget to...
A Talk with American High School California - What is a Data Scientist? A Data Magician?
Просмотров 1042 месяца назад
In this talk, we delve into the intriguing world of #datascience, #machinelearning, and #AI! Join us as we discuss: ✨ Ai, data science, and machine learning at Penn and at Wharton Analytics Fellow ✨ How do Data Scientists work their magic with data? ✨ The skills needed to succeed in this exciting field. We also discuss Chat GPT for high school students, GPT in art, and its reasoning capabilitie...
Trò chuyện cùng Vietnamese Scholar Series - Hành trình Liều Đến Với Data Science
Просмотров 2092 месяца назад
Trò chuyện cùng Vietnamese Scholar Series về hành trình liều đến với khoa học dữ liệu #sharing #datascience #datascientist
Great tutorial!!! 👏
Thank you!! 😊
Great Tutorial and very well explained. Didn't know the agent can be tasked to search for a particular page. Thank you 🙏
@@jaggyjut thank you 🥰
Good em! Keep it up <3
Thank you anh🎉
very nice.
Thank you!!
Cool!
Thanks!!
🤩love it
Thank you!
You are becoming so good at this. Love it.
You are so supportive! Thank you. I really appreciate it.
well done
Thank you!! 🥰
You are amazing.
@@AdityaSinghCodes thank you so much for always supporting!!
when to use CrewAI/Langgraph and when to use something like PydanticAI/Langchain? It's a bit confused to me at the moment
Hi, great question! CrewAi specializes in multi-agent system, In this tutorial I only have 1 agent, however, you can design a multi-agent system where they all talk to each other and delegate tasks. Langgraph is like a workflow that can orchestrate multiple steps. It can also be used for multi-agent systems as well by designing the workflow, how you want to control the information, where the agent can "jump" in and help. It will be a bit more complicated than CrewAi. Langchain is for injecting new information that is not on the model knowledge base. For example, if your products have complicated safety instructions, you will want the model to query your information only when it comes to safety. Or when you have multiple prompts and you want to chain them all together in the workflow (mostly for Question-answer). I personally didn't have much interaction with PydanticAI but based on their docs, they also provide AI agent framework. Because they are built on top of Pydantic, they have more of a validation output, type safety, easy for programmers to debug than other framework
Great Question.
Good work! 👏
Thank you so much 🎉
Awesome tutorial. Thank you!
@@nojepnt thank you so much!
I missed the purpose of the video and was watching you in the whole video😍
@@niksbanna thank you!
làm sao đưa video hoặc link youtube đẻ dịch dc ah
You nailed this tutorial. Thank you so much. Please keep them coming.
Thank you so much!!
Cám ơn bạn nhiều! Nội dung rất hay nên mình sẽ học. Nhưng công nhận là bạn nói Tiếng Anh nghe rất hay nhé! Bạn có dạy Tiếng Anh không? :D😀
cảm ơn bạn đã ủng hộ <3
Cảm ơn bạn, videos hữu ích 💯
cảm ơn bạn đã ủng hộ
great
Thank you for the support!
Hi admin, I'm need pay for billing for using API chatgpt ???. I'm not do it's so error code
@@GodPlayer-Diva did you add your credit card info? If add then you will get $10 credit. Cost per million token is $5 so, if you just use for testing, their credit is plenty!
em chào chị, chị ơi cho em hỏi lúc em chạy ở file test.ipynb nó gặp phải lỗi sau--------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 1 ----> 1 from openai import OpenAI 2 client = OpenAI(api_key = OPENAI_API_KEY) 4 completion = client.chat.completions.create( 5 model="gpt-3.5-turbo", 6 messages=[ (...) 9 ] 10 ) ModuleNotFoundError: No module named 'openai' thì em thấy nó báo ở code này from openai import OpenAI client = OpenAI(api_key = OPENAI_API_KEY) completion = client.chat.completions.create( model="gpt-3.5-turbo", messages=[ {"role": "system", "content": "You are a helpful SEO engineer from Google."}, {"role": "user", "content": "Help me write a promotion for my shampoo"} ] ) print(completion.choices[0].message.content) em có tra trên stack và github cứ bảo e cài thư viện nhưng e làm theo họ chỉ nhưng vẫn không fix được
em ơi em thử dòng này !pip install --upgrade openai xong em restart kernel lại nhé. Chị cũng bị như vậy, có cái dòng đó vào xong chị restart kernel lại là hết ^^
You look young, how and where did you learn all this? Kudos, subbed, keep it up
Thank you!!
Hi I'm a beginer programer and for my college i have to do a virutal librery with a chatbot, with this you helped me a lot, but a have a doupt. I'm a spanish speaker and for my college the bot have to be able to respond in spanish if I use this code but with another model like "meta-llama/Llama-3.2-1B" for example. It could be work? btw please keep doing videos like this are so useful. You got a new suscriber ❤
Hi, thank you so much for your kind words. Yes, the Streamlit framework works for models like gpt3.5, and llama. With gpt3.5, you need openAI API, and then call the API to generate the response. With meta-llama/Llama-3.2-1B though, I experience the inference time is too slow via HuggingFace. I was using 40 GB GPU and it took me 15 minutes to get to the inference. The inference is nothing fancy, basically just one question, which is not what we are looking for when building a chatbot. You can try localizing the llama by using ollama (ollama.com/library/llama3.2). I will get to it in the later tutorial.
Cảm ơn chị
cảm ơn em nhé <3
Love your authenticity. Simple yet beautiful. Bark is def good as a free ul option.
Thank you! And yes, totally agree, Bark is for sure a good option. We just need to keep testing their voice bank to see which one is suitable for our needs
WOW I’ve learned so much , and it’s been incredibly fascinating. The process of exploring new knowledge and gaining fresh perspectives is both exciting and rewarding!
Thank you so much! This means the world to me