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Deep Seek R1 is an open-source AI model rivaling top closed-source systems. Learn about its capabilities, impact on the tech industry, and how to use it.
Deep Seek's V3 model marks a pivotal moment in AI development, achieving near-frontier capabilities at a fraction of the cost. This breakthrough is reshaping the AI landscape and investment strategies.
A comprehensive overview of major AI developments from Open AI, Google, Adobe, and more, including new models, tools, and industry partnerships.
Learn how to set up a powerful local AI infrastructure using open-source tools like Ollama, Qdrant, and n8n. This guide covers installation, configuration, and building a RAG AI agent.
Learn how to build an agentic RAG (Retrieval Augmented Generation) solution that allows AI agents to intelligently reason about and retrieve information from knowledge bases. This approach solves common RAG pitfalls and improves accuracy.
Explore cutting-edge techniques for building reliable and accurate AI-powered knowledge management systems using Retrieval Augmented Generation (RAG). Learn how to overcome common challenges and implement advanced strategies for optimal results.
Discover how AI is revolutionizing creative writing through 'The Prince', a novel entirely generated by ChatGPT. This groundbreaking work offers insights into the future of AI-driven literature.
An in-depth comparison of running machine learning models locally on Intel, Apple, and NVIDIA hardware. Evaluates performance, efficiency, and cost-effectiveness.
Learn how to install PyTorch on your local system, including setup for Apple Silicon devices. This guide covers creating virtual environments, installing essential data science libraries, and verifying PyTorch installation.