1. Gene expression matrix: pic.twitter.com/oFMUnNP5Xn
— π₯ Matt Dancho (Business Science) π₯ (@mdancho84) December 2, 2024
Wednesday, December 4, 2024
Data Science - Using R to do Gene Expression Matrix
BBQ: Tool Against Haiti
Be wary of outsiders trying to sell BBQ as a Haitian revolutionary. Through their racism, they are in fact telling you that Jean-Jacques Dessalines was nothing more than a criminal killer gangster also, and that is how they think of Haitians in general.
— Jean Jacques Dessalines ππΉπ΅πΈπ³πͺπ²π±π§π«π¨πΊ (@JeanJacquesDes7) December 4, 2024
π₯ zoedaypost pic.twitter.com/E22ZmaFlFr
AI Agents
Understanding AI agents will be one of the most valuable skills in 2025.
— Nikki Siapno (@NikkiSiapno) December 3, 2024
Here’s what you need to know:
AI agents are broader systems that leverage LLMs.
They’re beginning to reshape the way we build applications, automate workflows, enhance data processing, and more.
Why… pic.twitter.com/YvTQVi1pHR
Quote of the DAY: Thomas Sankara
"Never be ashamed of being African." pic.twitter.com/UZ2HF5U7yL— Kentah Gwanjez (@GWANJEZ) December 3, 2024
Chatbots and AI Agents - What's the Difference?
AI chatbots are like the friendly customer service reps of the digital world, handling basic tasks and inquiries with pre-programmed responses. They're great for straightforward queries but struggle with anything outside the script. Think of them as the entry-level employees of the AI world.
AI agents, on the other hand, are like your personal assistants. They can learn, adapt, and handle more complex tasks, from managing schedules to giving insights. A bit like having a smart executive assistant at your disposal.
For chatbots, the pros are their simplicity and cost-effectiveness. But they can be frustrating when dealing with nuanced issues or more complex queries. AI agents carry a bigger brain, making them more versatile and able to deliver a more personalized experience. But they're more complex and expensive to develop and maintain.
Best practices? For chatbots, keep it simple; define clear use cases and manage expectations. For AI agents, invest in continuous learning and ensure they can handle privacy and data securely.
To get started, think about what problems you're trying to solve. If it’s basic customer service tasks, a chatbot may be the ticket. But if you need something more advanced that can adapt and learn, an AI agent is the way to go.
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