Llamafile, developed by Mozilla, offers a user-friendly alternative for running LLMs. Llamafile is known for its portability and the ability to create single-file executables. Once we download llamafile and any GGUF-formatted model, we can start a local browser session with: $ ./llamafile -...
Over the past month I’ve been exploring the rapidly evolving world of Large Language Models (LLM). It’s now accessible enough to run a LLM on a Raspberry Pi smarter than the original ChatGPT (November 2022). A modest desktop or laptop supports even smarter AI. It’s also private, off...
In this post, you will take a closer look at LocalAI, an open source alternative to OpenAI which allows you to run LLM’s on your local machine. No GPU is needed, consumer grade hardware will suffice. Enjoy! 1. Introduction OpenAIis a great tool. However, you may not be allowed to ...
Since OpenCoder is getting popular, I decided to quickly test it out as a local AI assistent to help me code in VS Code. With my experience here, you’ll also be able to integrate OpenCoder (or any other LLM) intoVS Codewith the help ofCodeGPTextension and enjoy the perks of a loca...
Today’s post is a demo on how to interact with a local LLM using Semantic Kernel. Inmy previous post, I wrote about how to use LM Studio to host a local server. Today we will use ollama in Ubuntu to host the LLM. Ollama
I just asked Claude 3.5 Sonnet to condense to the essential, keeping an MCP example in case the LLM doesn't know about it. It worked to add a simple mcp server (fetch). But needs more experiment. That said, if you can't even try Cline because your context limit is reached after 2...
But I believe that the future of AI should be private, local, and open source. I want it to be a tool I use, both the other way around. Thankfully, I am not the only one to have these thoughts. There are numerous open source LLMs out there, and new tools are coming up that ...
A limited free-tier for ComputerVision OCR is available as linked above. This service is cheaper overall but slower and may not work for non-standard document layouts (other than A4 etc). Consider the document types and your accuracy needs when selecting an OCR option. LLMs: Only local-LLM...
Running multiple LLMs may require more computational power than what is feasible on a single machine. Availability Local servers are less resilient. In the event of system failures, access to your LLMs is jeopardized. On the other hand, cloud platforms offer multiple layers of redundancy an...
Note:The [version] is the version of the CUDA installed on your local system. You can check it by runningnvcc --versionin the terminal. Downloading the Model To begin, create a folder named “Models” in the main directory. Within the Models folder, create a new folder named “llama2_...