-
GPT for Word. Seamless Translation within Microsoft Word using Local LLMs (100% Private).
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
-
GPT for Word. Easily Summarize 10+ Pages in Microsoft Word using Local LLMs (100% Private).
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
-
GPT for Word. Empower Your Team: Deploy Local LLMs in Microsoft Word on Your Intranet (100% Private).
Seeking an alternative to Microsoft Copilot for your team within your intranet? Here’s a streamlined guide on how it operates: Start by hosting the Phi-4 model using LM […] read more
Tutorial
Posted on:
GPT for Word. A local alternative to Microsoft Copilot in Word (100% Private).
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