ai agents

The AI infrastructure is vast. It's driving cutting-edge digital operations. 👇 P.C: AI Fire

The LLM stack includes several core layers. An input layer consists of raw text that has been tokenized, an embedding layer that translates tokens into dense vector form, and a number of transformer layers that use self-attention to compute complex correlations in the data. #LLM #AI #AI agents

Construct your own AI agents swiftly, without coding knowledge! 👇 P.C: AI Fire

Start mastering AI agents soon, as the AI revolution won't wait. Have a plan before 2025 rolls in. 👇 P.C: AI Fire

Building an AI Agent sounds complex, but what if it didn’t have to be? If you're lost in technical jargon or unsure where to even begin, this one-page roadmap breaks down the entire process into 13 practical, beginner-friendly steps, so you can go from idea to AI agent with confidence. Here's what it covers: 🔹 Define Your Use Case Start by outlining what your AI agent needs to do — from customer support to content generation. 🔹 Data Collection & Preparation Gather the right datasets and...

Know your new teammates, the AI agents and their task specifics. 👇 P.C: AI Fire

𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝘂𝘀𝗲… | Andreas Horn | 44 comments

While traditional models are like great espresso machines, agent-based AI… | Vectorize

Building AI Agents is more than just normal Plug-and-Play | Rakesh Gohel

What is an AI Agent? An AI agent is a software program that can interact with its environment, gather data, and use that data to achieve predetermined goals. AI agents can choose the best actions to perform to meet those goals. Key characteristics of AI agents are as follows: An agent can perform autonomous actions without constant human intervention. Also, they can have a human in the loop to maintain control. - Agents have a memory to store individual preferences and allow for...

Confused about the difference between AI Automation and AI Agents? 🤔 This pin breaks down the key concepts in a simple, easy-to-understand way. Learn how AI Automation excels at repetitive, rule-based tasks, while AI Agents use intelligence and learning to make autonomous decisions and adapt to new situations. Discover real-world examples and find out which technology is the best fit for your business or project. Click to simplify the future of tech! 🚀 #AIAgent #AIAutomation...