Artificial Intelligence (AI)
Are you tired of the hassle that comes with running AI applications? Bouncing between complicated command lines, dealing with cloud dependencies, and worrying about your data privacy? Well, my friend, let me introduce you to your new best friend - Pinokio! Pinokio is like a super-powered local assistant that puts
Artificial Intelligence (AI)
OCR Evolution: Adding Language Models to Text Recognition
Artificial Intelligence (AI)
As both a medical doctor, developer and an open-source enthusiast, I've witnessed firsthand how Large Language Models (LLMs) are revolutionizing not just healthcare, but the entire landscape of software development. My journey into running LLMs locally began with a simple desire: maintaining patient privacy while leveraging AI'
LLM
Llama OCR is an npm library that brings the power of Llama 3.2 Vision for free OCR (Optical Character Recognition) to your projects! With the llama-ocr package, you can easily extract text from images (and soon PDFs!) using the free Llama 3.2 model endpoint provided by Together AI.
Artificial Intelligence
The shift toward local AI assistants marks an exciting development in personal computing, putting powerful AI capabilities directly in users' hands. These open-source tools transform how we work by offering privacy-focused alternatives to cloud-based AI services. Local Large Language Models (LLMs) form the backbone of these personal AI assistants,
LLM
Home LLM integrates a local Large Language Model (LLM) with Home Assistant, enabling you to control your smart home through a conversational interface. It supports chat and voice interactions via Speech-to-Text and Text-to-Speech addons. The solution is designed for privacy, as everything runs locally. This integration works with Home Assistant
LLM
The AI Search Revolution: Beyond Keywords The way we search online is changing dramatically. Gone are the days of awkwardly stringing keywords together, hoping to find what we need. A new wave of search engines, powered by Large Language Models (LLMs), is making search feel more like asking a smart
LLM
Are you looking to harness the capabilities of Large Language Models (LLMs) while maintaining control over your data and resources? You're in the right place. In this comprehensive guide, we'll explore 12 free open-source web interfaces that let you run LLMs locally or on your own
Artificial Intelligence (AI)
txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows. It offers versatile tools for processing text, audio, and image data. txtai is built with Python 3.9+, Hugging Face Transformers, Sentence Transformers and FastAPI. txtai is open-source under an Apache 2.0 license. Features
LLM
LLaMA-Factory is an open-source powerful framework designed to streamline the training and fine-tuning of LLaMA models. Built on PyTorch and Hugging Face Transformers, it enables efficient handling of long-sequence training through memory optimization and parallelization techniques, enhancing performance on GPUs like NVIDIA’s A100. Key features include FlashAttention2 and LoRA
Artificial Intelligence (AI)
Next.js Vllm UI is a free and open-source self-hosted system that enables you to have a reactive user-friendly interface for large language models 0r LLMs as Ollama. It is easy to setup with one command using Docker. It is built on top of Next.js, Tailwind CSS framework, uses
Healthcare
Document Management Evolution: Law firms, medical practices, and financial investigators can now sift through vast document collections in moments. Smart tools quickly surface old records, spot key details automatically, and slash time spent hunting through files. Teams can simply ask questions about their documents and get instant answers, helping them
Artificial Intelligence
If you're diving into the world of AI and Large Language models, you've probably felt the frustration of fine-tuning prompts and comparing different models. It's a bit like trying to nail jelly to a wall – messy and often disappointing. Checkout Promptfoo, an open-source tool
Artificial Intelligence
LibreChat is a powerful, free open-source AI chat platform designed for users seeking flexibility and control over AI interactions. Its Web UI brings all your AI conversations into one convenient place, offering full customization with integrations to various AI services. LibreChat delivers a familiar AI-generative interface with powerful enhancements. Let&
LLM
Vocode is an open-source library that simplifies building voice-enabled applications powered by large language models (LLMs). It allows developers to create real-time, voice-based conversations with LLMs and deploy them to phone calls, Zoom meetings, and beyond. With Vocode, you can build interactive apps like personal assistants or voice-controlled games such
News
Magic is an AI-based low-code and no-code software development automation framework. Originally designed to empower developers by automating repetitive tasks, Magic uses artificial intelligence to streamline backend development, particularly for database-driven applications. The framework allows users to build scalable applications with minimal code, supporting both front-end and back-end automation. However,
LLM
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Artificial Intelligence (AI)
You need Ollama running on your localhost with some model. Once Ollama is running the model can be pulled from follamac or from command line. From command line type something like: ollama pull llama3 If you wish to pull from follamac you can write llama3 into "Model name to
Artificial Intelligence (AI)
Ever thought about having your own AI-powered large language model (LLM) running directly on your Windows machine? Now’s the perfect time to get started. Imagine setting up a self-hosted ChatGPT that’s fully customized for your needs, whether it’s content generation, code writing, project management, marketing, or healthcare
LLMS
As large language models (LLMs) like GPT and BERT become more prevalent, the question of running them offline has gained attention. Traditionally, deploying LLMs required access to cloud computing platforms with vast resources. However, advancements in hardware and software have made it feasible to run these models locally on personal
Healthcare
Understanding Large Language Models (LLMs) LLMs, or Large Language Models, are cutting-edge artificial intelligence systems that have revolutionized natural language processing. These sophisticated models are trained on enormous datasets comprising diverse text sources, enabling them to comprehend and generate human-like text with remarkable accuracy and fluency. Key features of LLMs
pentesting
PentestGPT: Your AI Buddy for Smarter, Faster Hacking
Healthcare
PyHealth is a comprehensive deep learning toolkit designed to support clinical predictive modeling. Tailored for both ML researchers and medical practitioners, it simplifies the development and deployment of healthcare AI applications. Our toolkit offers enhanced flexibility, customization options, and seamless integration, making it easier to implement advanced healthcare solutions. Revolutionizing
Artificial Intelligence
Artificial Intelligence (AI) and Large Language Models (LLMs) are revolutionizing the field of medical diagnostics, offering unprecedented opportunities for more accurate, efficient, and accessible healthcare. These cutting-edge technologies are reshaping the medical landscape by enhancing diagnostic accuracy, streamlining clinical workflows, and enabling early disease detection. This post delves into how