Photo for Author | Kanele
Obvious Introduction
There is no doubt that large models of language are powerful but cannot exceed their training or directly for land. This is where AI providers have changed the game. They just produce a text but they can take action, think, and fully work so many jobs, they are closer to the real help you can do with you. You may have seen tons of resources, but in this article we will take a big trip for photos. I will share 5 fictional projects: Others from the beginning using the python + a few of the famous agents of the famous agent. I arranged and picked these projects after a great research on how each project teaches an unique Angle of what agents can really do. So, let's get started.
Obvious 1. Creating AGENT AGENT AGENDON PHIGHTON PHACKED
Link: https: /www.youtube.com/watch? v = bzzypscbt8
This lesson visits you by creating a calendar / planning agent using a pure python without severe structures or leaning. You will receive an agent's short agent: To combine purpose, editing action, calling calendar calendars, and ensuring or management of conflicts. It covers and performs crud duties with Google Calendar or similar services, as well as effective tips for environmental tongue and avoid double booking. The pastor directs you by step-by-step, showing how you can handle the “Edit 3PM” or “What's your calendar. When your agent can take good care of your helper.
Obvious 2. How to build a code agent from scratch
Link: https:/www.youtube.com/watch?v=lxgfhpq1gsi
The workshop launcher by Zain Hasan from the Ai's Development Revormer's relationship with you by creating a coding agent from the beginning without depending on the Fremild Frameworks. You will start with simple chat loop, and add similar tools to file students, shells, and search skills, followed by Safe Safe Rules and Examination. On the way, you will examine the corresponding, conditional flow, and learn how to use llms and routerers and pipes, and review the applicable code examples. When your agent can produce, test, and clear the Python Snippets automatically, it sounds like you have your program ready to work.
Obvious 3. The agent of the content Creator from the beginning
Link: https: /www.youtube.com/watch? v = PM9ZR7WJx4
This step by step by João Moura, CEO of Crew Ai, shows how we can build a Creator's agent from the beginning using Crewai, Zapier, and Cusror, making it better for creators and businesses who want to default. You will learn how you can set up the flow of ending ending of the food view, default, publishing, and distribution. Tutorial includes both methods and methods based on the code, showing how to do the causes, actions, QA restrictions, and short video texts while maintaining quality control. On the way, João directs the integration, power, and optimization agent, with practical examples including multiple job flow, creating PDF's custom reports, and producing organized content plans.
Obvious 4. PHYDICIC ACTIVE ARE
Link: https: /www.youtube.com/watch? v = 762SQD7y
This hands day by Angelina, AI and the Data and the Founder and Mehdi, the professor of the Computer Science You will learn how to describe the typical academic schemes and to name small agents to the web, download the pages or PDFs, summarizes, and compiled notes in the pure, formal notes or emails. The lesson shows how to combine Web Search Apis, document fans, and llm fish during Pydantic models to ensure that the predictable, reliable, and machine-readable effects. This method makes sense to build research assistants or bots of literature.
Obvious 5. Ai AI enhanced AI is for searching
Link: https: /www.youtube.com/watch? v = cuc-hypjnxk
This is the deeper teaching of TIM from devlaunch designed for students ready to build a production style agent. You will learn how to edit many steps, the flow of graphing graphing live web and search, related filters, reading and transmission tests. The guide includes developed construction patterns such as Resourler Routing, Design Crawler Design, as well as the rising indicator, as well as effective personality consideration, proxies, and measurement limits. By combining the Langgram with the original search from sources such as Google, Bing, and Reddit, you will only make up an agent you can think and collect the latest information. This project is good for anyone who wants to move more than toy toy and build a disability, real research assistants.
Obvious Rolling up
These five projects are too far out of “making an example discussion.” My tip: Don't hold on to fill in one point. Choose one of the most fun, he had built, and test. The testing agent patterns, easier to mix, similarities, and to develop yours.
Kanal Mehreen Are the engineering engineer and a technological author interested in the biggest interest of data science and a medication of Ai and medication. Authorized EBOOK “that added a product with chatGPT”. As a Google scene 2022 in the Apac, it is a sign of diversity and the beauty of education. He was recognized as a Teradata variation in a Tech scholar, Mitacs Globalk scholar research, and the Harvard of Code Scholar. Kanalal is a zealous attorney for a change, who removes Femcodes to equip women to women.
