Mastering Deepscaler: Build & Deploy Ai Models With Ollama

Mastering Deepscaler: Build & Deploy Ai Models With Ollama
Published 2/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Build AI Chatbots, Deploy Local AI Models, and Create AI-Powered Apps Without Cloud APIs using DeepScaleR-1.5B AI Model

What you’ll learn

Set up DeepScaler & Ollama for local AI model execution.

Run AI models locally without relying on cloud APIs.

Build an AI-powered chatbot using DeepScaler & FastAPI.

Develop an AI Math Solver that handles complex equations.

Deploy DeepScaler models via REST APIs for real-world use.

Integrate DeepScaler with Gradio for web-based AI tools.

Benchmark DeepScaler vs OpenAI models in performance tests.

Requirements

Basic Python knowledge (helpful but not mandatory).

Familiarity with command-line tools (Linux/Mac/Windows Terminal).
A computer with at least 8GB RAM (higher for better performance).

Ollama installed (we’ll guide you through setup).

Internet connection for downloading models (offline use supported after setup).

Interest in AI, LLMs, and model deployment.

No prior deep learning or ML experience needed!

Description

Overview

Section 1: Introduction to DeepScaler & Ollama

Lecture 1 What is DeepScaleR: Fine-Tuned version of Deepseek-R1-Distilled-Qwen-1.5B?

Lecture 2 What is Ollama? How to use it with DeepScaleR

Lecture 3 Setting Up the Environment

Lecture 4 Python Basics

Section 2: Building AI Applications with DeepScaler

Lecture 5 Project 1: AI-Powered Math Solver

Lecture 6 Project 2: AI Chatbot using DeepScaler