Pretraining creates the base model, fine-tuning creates the instruct model LINK SCREENSHOTGPT 333Tags: 111222 […]
Category: article
Brain-Inspired AI Learns To See Like Humans in Stunning Vision Breakthrough
Researchers developed a **brain-inspired AI** that mimics human **visual processing**, improving performance in **image recognition** and **scene understanding**. This breakthrough could transform **robotics**, **autonomous systems**, and **neuroscience research**. LINK SCREENSHOTGPT 333444 […]
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How To Build RAG Applications Using Model Context Protocol
This article shows how to build **RAG applications** using **Model Context Protocol (MCP)**, avoiding **embeddings** and **vector search** by using **structured resources**. It guides readers through creating an **MCP server** that handles **employee data** with **resources** and **tools** for use in **LLM integrations**. LINK SCREENSHOTGPT 333444 […]
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Build No-Code Agents With Open Agent Platform
Learn how to **build no-code agents** using the **Open Agent Platform**, manage agent templates, and utilize a **multi-agent supervisor**. Ideal for those wanting to automate tasks without programming skills. LINK SCREENSHOTGPT 333444 […]
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TinyAgents: A Minimal Experiment with Code Agents and MCP Tools
The article compares **tool-calling agents**, which rely on step-by-step external tool invocations, to **code agents**, which generate and execute compact, compositional **Python code** in a single **LLM call**. **TinyAgents** proves code agents offer greater **efficiency** and **clarity** for complex reasoning. LINK SCREENSHOTGPT 333444 […]
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Tiny Agents: Build a LLM-powered agent with tools in a few Lines of Code
Build **LLM-powered agents** with just a few lines of **Python** using **Hugging Face** tools. Once you have an **MCP Client**, an **Agent** is literally just a **while loop** on top of it, making agent creation simple and extensible. LINK SCREENSHOTGPT 333444 […]
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MCP vs API: Simplifying AI Agent Integration with External Data
The video explores how **Model Context Protocol (MCP)** enhances **AI agent integration** by enabling **dynamic discovery**, **tool execution**, and **standardized** access to external data—contrasting with traditional **APIs** that lack AI-specific design. LINK SCREENSHOTGPT 333444 […]
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Is Model Context Protocol the New API?
**Model Context Protocol (MCP)** enables **LLMs** to act like **APIs** by encoding **context** as structured input, facilitating **semantic-driven** workflows. It supports **interoperability**, **fine-tuned prompts**, and connects **model outputs** to **external services** dynamically. LINK SCREENSHOTGPT 333444 […]
Can machine-grown lettuce help cut Canada’s reliance on U.S. greens? This farmer is betting on it
A **Canadian greenhouse** is using **AI-driven systems** to grow **lettuce**, reducing reliance on **U.S. imports**. While AI improves **efficiency**, **regulatory gaps** around agri-tech oversight and **food safety** pose hurdles. With **high setup costs**, experts say **more studies** are needed to assess economic viability. LINK SCREENSHOTGPT […]
You “Otter” Do AI Evals—Here’s What They Are, How to Get Started, and How Not to Fail
This post explains why **AI evaluations** matter, how to run them properly, and how failing to do so has cost **major companies** billions. It offers a practical framework to assess **risk**, avoid **catastrophic AI failures**, and build **smarter systems**. LINK SCREENSHOTGPT […]