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Deployment

Demystifying Generative AI Agents

Demystifying Generative AI Agents

From single interactions to complex multi-agent systemsOverview Lost in the hype around Generative AI agents? You’re not alone. This post cuts through the noise, providing a clear defin

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Phi-4: Microsoft’s Newest Small Language Model Specializing in Complex Reasoning

Phi-4: Microsoft’s Newest Small Language Model Specializing in Complex Reasoning

Phi-4: A Compact Powerhouse Redefining AI Reasoning for Real-World Applications Microsoft’s Phi-4 represents a remarkable advancement in the realm of small language models, excelling in

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How to Fine-Tune Llama-3.2 on your own data: A detailed guide

How to Fine-Tune Llama-3.2 on your own data: A detailed guide

Introduction The release of Llama-3.2 collection from Meta marked an important milestone in the open-s

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MLOps → LLMOps → AgentOps: Operationalizing the Future of AI Systems

MLOps → LLMOps → AgentOps: Operationalizing the Future of AI Systems

Introduction With rapid advancements in AI technology, organizations need scalable frameworks to handle the growing complexity of deploying machine learning models, large language models (LLM

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Bolt.new and Ollama: Revolutionizing AI-Powered Full-Stack Web Development

Bolt.new and Ollama: Revolutionizing AI-Powered Full-Stack Web Development

In the rapidly evolving world of web development, efficiency and innovation are paramount. Developers, project managers, and designers alike are constantly seeking tools that streamline workflow

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The 6 Best LLM Tools To Run Models Locally

The 6 Best LLM Tools To Run Models Locally

Running large language models (LLMs) like ChatGPT and Claude usually involves sending data to servers managed by [OpenAI](https://openai.

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