AI Engineer - Codersera Blogs (Page 9)

AI Engineer

A collection of 220 posts

Run Tülu 3 on Windows: Step-by-Step Guide

Run Tülu 3 on Windows: Step-by-Step Guide

Running Tülu 3 on Windows is an exciting opportunity to harness the capabilities of advanced AI models for various applications, from natural language processing to machine learning tasks. This guide provides a comprehensive step-by-step approach to installing and running Tülu 3 on a Windows operating system. What is Tülu 3?

Run Mochi 1 on macOS: Step-by-Step Guide

Run Mochi 1 on macOS: Step-by-Step Guide

Unlock AI-driven video creation on your Mac! This step-by-step guide shows you how to install, optimize, and troubleshoot Mochi 1 (Genmo AI) on macOS Sonoma and Apple Silicon. 🚀 Why Run Mochi 1 on macOS? Mochi 1 revolutionizes content creation by transforming text prompts into stunning videos. With 90% faster rendering

Running DeepSeek’s Janus-Pro 7B Multimodal Model on Azure

Running DeepSeek’s Janus-Pro 7B Multimodal Model on Azure

Discover how to deploy DeepSeek's Janus-Pro 7B on Azure for advanced multimodal AI tasks. Explore setup steps, use cases, cost optimization tips, and more.

Running DeepSeek Janus Pro 1B on Windows with ComfyUI: Step-by-Step Guide

Running DeepSeek Janus Pro 1B on Windows with ComfyUI: Step-by-Step Guide

Running DeepSeek Janus Pro 1B on Windows using ComfyUI is an exciting venture into the world of multimodal AI models. This guide provides a comprehensive, step-by-step approach to setting up and utilizing this powerful model on your Windows machine. We cover everything from prerequisites to installation, configuration, and practical usage

Running DeepSeek Janus Pro 7B on Windows with ComfyUI: Step-by-Step Guide

Running DeepSeek Janus Pro 7B on Windows with ComfyUI: Step-by-Step Guide

DeepSeek Janus Pro 7B is an advanced multimodal framework designed to unify understanding and generation tasks across various data types, including text and images. Its architecture decouples visual encoding into separate pathways while maintaining a unified transformer model, allowing it to outperform traditional models in multimodal benchmarks, addressing common pitfalls

Running DeepSeek's Janus-Pro-7B Model on AWS: Step-by-Step Guide

Running DeepSeek's Janus-Pro-7B Model on AWS: Step-by-Step Guide

Learn how to deploy DeepSeek's Janus-Pro-7B multimodal AI model on AWS with this step-by-step guide. Optimize performance, reduce costs, and integrate AWS services like EC2, S3, and SageMaker.

Running DeepSeek Janus Pro 1B on MacOS with ComfyUI

Running DeepSeek Janus Pro 1B on MacOS with ComfyUI

The DeepSeek Janus Pro 1B model represents a significant advancement in the field of multimodal AI, capable of both image understanding and generation. With the integration of this model into ComfyUI, users can harness its capabilities on macOS systems, particularly those equipped with Apple Silicon (M1, M2, or M3 chips)

Running DeepSeek Janus Pro 1B on AWS

Running DeepSeek Janus Pro 1B on AWS

The DeepSeek Janus Pro 1B is a cutting-edge multimodal AI model that seamlessly integrates advanced text and image processing capabilities. This guide provides a step-by-step approach to deploying the Janus Pro 1B model on Amazon Web Services (AWS), covering configurations, optimizations, and best practices for efficient deployment. Overview of DeepSeek

TangoFlux for Text-to-Audio Generation on Mac locally on your system

Setup TangoFlux for Text-to-Audio Generation on Mac locally on your system

Introduction to TangoFlux TangoFlux is a cutting-edge generative model developed by the DeCLaRe Lab at the Singapore University of Technology and Design. This model is specifically designed for Text-to-Audio (TTA) applications, which allows the generation of audio based on textual prompts. TangoFlux leverages advanced technologies such as Flow Matching and

Set Up Hunyuan3D-2 on Windows: A Step-by-Step Guide

Set Up Hunyuan3D-2 on Windows: A Step-by-Step Guide

Setting up Hunyuan3D-2 locally on a Windows machine involves several steps, including meeting system requirements, installing necessary software, and configuring the environment for optimal performance. This guide provides a comprehensive walkthrough to ensure a successful installation and setup of the Hunyuan3D-2 model. What is Hunyuan3D-2? Hunyuan3D-2 is an advanced AI

How to Install and Run Hunyuan3D-2 on macOS: A Step-by-Step Guide

How to Install and Run Hunyuan3D-2 on macOS: A Step-by-Step Guide

Introduction Setting up Hunyuan3D-2 locally on a Mac involves several steps, including installing necessary software, configuring the environment, and running the model. Hunyuan3D-2, developed by Tencent, is a powerful AI model that converts 2D images into 3D objects, making it a valuable tool for artists, designers, and developers. This guide

Setting Up Hunyuan3D-2 Locally on Ubuntu: A Step-by-Step Guide

Setting Up Hunyuan3D-2 Locally on Ubuntu: A Step-by-Step Guide

Hunyuan3D-2 is an advanced open-source 3D modeling tool developed by Tencent, designed to generate high-resolution 3D assets from images and text. This guide provides a step-by-step approach to installing and configuring Hunyuan3D-2 on an Ubuntu machine. System Requirements Before installing Hunyuan3D-2, ensure your system meets the following requirements: * Operating System:

Set Up the Qwen2.5-1M Model on Ubuntu/Linux locally

Set Up the Qwen2.5-1M Model on Ubuntu/Linux locally

To set up the Qwen2.5-1M model locally on Ubuntu/Linux, follow this comprehensive step-by-step guide. This guide will cover system requirements, installation of dependencies, launching the model, and troubleshooting common issues. System Requirements Before you begin the installation process, ensure your system meets the following requirements for optimal performance:

How to Set Up the Qwen2.5-1M Model Locally on Your Mac

How to Set Up the Qwen2.5-1M Model Locally on Your Mac Artificial intelligence (AI) models have revolutionized technology in recent years, enabling applications that were once thought to be science fiction. Among these, the Qwen2.5-1M model stands out for its impressive capabilities in natural language processing (NLP) tasks.

How to Run DeepSeek R1 on macOS Sequoia 15.3: A Step-by-Step Guide

How to Run DeepSeek R1 on macOS Sequoia 15.3: A Step-by-Step Guide

Running DeepSeek R1 locally on your macOS Sequoia 15.3. This comprehensive guide will walk you through the installation process using Ollama, enabling you to leverage DeepSeek's advanced reasoning capabilities for your projects.

Build Your Own Deepseek Web App from Scratch using Deepseek R1 on Ubuntu 24: A Step-by-Step Guide

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Build Your Own Deepseek Web App from Scratch using Deepseek R1 on Ubuntu 24: A Step-by-Step Guide

Want to create a custom ChatGPT-like application? In this guide, we’ll walk you through building an AI-powered chatbot from the ground up using Deepseek R1 on Ubuntu 24. Learn how to set up, customize, and deploy your own conversational AI with practical code examples and troubleshooting tips.

Best DeepSeek R1 Model to Run on a Linux VM: Step-by-Step API Guide

Best DeepSeek R1 Model to Run on a Linux VM: Step-by-Step API Guide

Discover how to deploy DeepSeek R1, a powerful open-source reasoning AI, on your Linux VM. This step-by-step guide simplifies API integration, recommends the best model for your hardware, and ensures privacy-first, cost-effective AI solutions—perfect for beginners!

DeepSeek R1 Open-Source Models: Choosing the Right Architecture for With RAG Training Guide

DeepSeek R1 Open-Source Models: Choosing the Right Architecture for With RAG Training Guide

Explore DeepSeek R1’s open-source AI models, from lightweight 1.5B to enterprise-grade 671B MoE architectures. This guide analyzes each variant’s strengths, ideal use cases, and step-by-step RAG integration for domain-specific tasks.

How to Run DeepSeek R1 on Ubuntu 24: A Step-by-Step Guide

How to Run DeepSeek R1 on Ubuntu 24: A Step-by-Step Guide

DeepSeek R1 is an innovative AI model that empowers users to tackle complex reasoning tasks easily. Running DeepSeek R1 on Ubuntu 24 is straightforward, even for beginners. By following our step-by-step guide, you can install the necessary tools, download the model, and start interacting with it in no time. Whether

How To Become An Artificial Intelligence Engineer?

How To Become An Artificial Intelligence Engineer?

With the rapid development of Artificial Intelligence & Machine Learning in different walks of the IT industry, the demand for a trained, competent artificial intelligence engineer is at an all-time high. Developing AI-powered solutions is a promising activity across many sectors, that have started embracing artificial intelligence (AI) & Machine