Ask Madhukar - Techbytes

How to deploy Ollama  Installation: Download Ollama:   Get the Ollama package from the  GitHub repository .   Install Dependencies:   Ensure you have any required dependencies, including libraries for your specific model.   Verify Installation:   Use  ollama --version  to confirm Ollama is installed correctly.   2. Model Deployment and Usage: Pull the Model:   Use the  ollama pull <model_name>  command to download the desired model.   Run the Model:   Use  ollama run <model_name>  to initiate the model's execution.   Interacting with the Model:   Ollama provides an API at  http://localhost:11434/api/generate  for interacting with the model.   Optional: Web UI:   Explore  Open WebUI  for a user-friendly interface to manage and interact with models.   Optional: Custom Applications:   Build custom applications using libraries like FastAPI and Gr...

 Artificial intelligence has become a cornerstone of modern technology, with tools like DeepSeek R1 and ChatGPT leading the charge in transforming how we interact with machines. While both are powered by advanced AI, they cater to different use cases and employ distinct technical architectures. In this article, we’ll explore the technical underpinnings of DeepSeek R1, compare it with ChatGPT, and highlight their unique capabilities. --- What is DeepSeek R1? DeepSeek R1 is an AI-driven search and conversational platform designed to deliver real-time, context-aware, and highly personalized results. Unlike traditional search engines, which rely on keyword matching and static datasets, DeepSeek R1 leverages cutting-edge natural language processing (NLP), machine learning (ML), and real-time data integration to provide dynamic and accurate responses. The "R1" in its name stands for Real-time, Relevance, and Reliability, reflecting its core strengths. It is built to handle complex ...