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No Code GenAI Agents Workflow Orchestration: AutoGen Studio with Local Mistral AI model | by Han HELOIR, Ph.D. ☕️ | Jan, 2024

Introduction to AutoGen and Mistral AI: AutoGen is a framework developed by Microsoft and designed to simplify the development of multi-agent applications, particularly in orchestrating LLM agents. Multi-agent applications involve systems where multiple LLM or multi-modal agents or entities interact with each other in the whole workflow to achieve specific goals or tasks. These agents…

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Tips and Tricks to Organize Jupyter Notebook Visualizations | by Matthew Andres Moreno | Jan, 2024

Optimize your data science workflow by automating matplotlib output — with 1 line of code. Here’s how. Naming things is hard. After a long enough day, we’ve all ended up with the highly-descriptive likes of “graph7(1)_FINAL(2).png” and “output.pdf" Look familiar? We can do better — and quite easily, actually. When we use data-oriented “seaborn-esque” plotting…

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How ReLU Enables Neural Networks to Approximate Continuous Nonlinear Functions? | by Thi-Lam-Thuy LE | Jan, 2024

Learn how a neural network with one hidden layer using ReLU activation can represent any continuous nonlinear functions. Activation functions play an integral role in Neural Networks (NNs) since they introduce non-linearity and allow the network to learn more complex features and functions than just a linear regression. One of the most commonly used activation…

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Ant Colony Optimization — Intuition, Code & Visualization | by James Koh, PhD | Jan, 2024

Where it stands out from other swarm algorithms This article is a continuation of my nature-inspired series. Previously, I talked about Evolutionary Algorithm (EA), Particle Swarm Optimization (PSO), as well as Artificial Bee Colony (ABC). Nature is everywhere, and there’s certainly more areas where humans can benefit by learning from nature. Today, we focus on…

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A Weekend AI Project: Running Speech Recognition and a LLaMA-2 GPT on a Raspberry Pi | by Dmitrii Eliuseev | Jan, 2024

A fully offline use of Whisper ASR and LLaMA-2 GPT Model Raspberry Pi running a LLaMA model, Image by authorNowadays, nobody will be surprised by running a deep learning model in the cloud. But the situation can be much more complicated in the edge or consumer device world. There are several reasons for that. First,…

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The Marketing Reporting Gap. Why do marketers turn to spreadsheets… | by João António Sousa | Jan, 2024

Why do marketers turn to spreadsheets and how to close this gap Mind the gap (image by author)Marketing is often the main use case for analytics. Most performance marketers are data-driven and -literate. They want to use data to optimize their campaigns and achieve their ROI targets. However, self-service analytics is falling short. Especially for…

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