Now that I’ve integrated Microsoft Word locally with several local LLM servers, it’s time to put its capabilities to the test. I’ll be benchmarking Microsoft Copilot in Word […]
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Effortless Rewrite in Bulk with Local LLMs in Microsoft Word
Looking for a Microsoft Copilot alternative to enhance your writing efficiency? Consider effortlessly rewriting text multiple times in seconds. You can achieve this in Microsoft Word by utilizing […] read more
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Seamless Translation within Microsoft Word Using Local LLMs
Looking for a Microsoft Copilot alternative for translation? You can achieve this in Microsoft Word by utilizing local LLMs for any languages you need. You can even translate […] read more
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Easily Summarize 10+ Pages in Microsoft Word Using Local LLMs
Looking for a Microsoft Copilot alternative for summarization? Consider utilizing the power of Mistral NeMo, a cutting-edge 12B model with an impressive 128k context length, right within Microsoft […] read more
Tutorial
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A local alternative to Microsoft Copilot in Word
Large language models (LLMs) have been rapidly advancing over the past few years. While bigger and more powerful versions are being developed in the cloud, there’s a growing […]
Demo 1: Using AnythingLLM in Microsoft Word
Demo 2: Using LM Studio in Microsoft Word (local model: Llama 3.2)
Demo 3: Using Transformer Lab in Microsoft Word (local model: Phi-4)
Demo 4: Using Ollama in Microsoft Word (local model: Llama 3.2)
Demo 5: Using llama.cpp in Microsoft Word (local model: gemma-2b)
Demo 6: Using LocalAI in Microsoft Word (local model: Llama 3.2)
Demo 7: Using KoboldCpp in Microsoft Word (local model: mistral 2.2)
Demo 8: Using Xinference in Microsoft Word (local model: Llama 2)
Demo 9: Using OpenLLM in Microsoft Word (local model: llama3.2:1b)
Demo 10: Using LiteLLM in Microsoft Word (gemini-1.5-flash, if cloud-based model is preferred)
Demo 11: Empowering Your Team with Phi-4 in Microsoft Word within Your Intranet