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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)
Ludwig is a self-hosted open-source low-code framework for building custom AI models like LLMs and other deep neural networks. Features 1- 🛠 Build custom models with ease A declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive
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
Healthcare
We have all seen the power of AI chatbots in general daily matters, starting from basic questions up to complex mathematical equations. Imagine integrating this power into the healthcare industry. But is it all too nice and shiny? No. We are discussing the challenges and concerns of integrating artificial intelligence
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
Healthcare
Casibase is an innovative open-source tool that supports case-based reasoning (CBR)—a sophisticated artificial intelligence method for solving new problems by drawing on past cases. This powerful framework is tailored for developers, researchers, and practitioners eager to implement, experiment with, and apply CBR in their diverse projects. At its core,
Artificial Intelligence
Exploring Open-Source Large Language Models (LLMs): A Quick Guide
macos
Running Large Language Models (LLMs) offline on your macOS device is a powerful way to leverage AI technology while maintaining privacy and control over your data. With Apple's M1, M2, and M3 chips, as well as Intel Macs, users can now run sophisticated LLMs locally without relying on
Artificial Intelligence (AI)
Artificial Intelligence (AI) is revolutionizing industries across the board, and its impact on healthcare is particularly profound and far-reaching. This cutting-edge technology is reshaping the landscape of medicine, from enhancing diagnostic precision to accelerating groundbreaking medical research. AI's transformative power is not only changing how healthcare professionals practice
Artificial Intelligence
The rise of AI-powered tools and Large Language Models (LLMs) has led many industries to integrate artificial intelligence, aiming to boost productivity and streamline workflows. While AI has indeed brought substantial advancements, a common misconception persists: that it can transform anyone into a professional developer, designer, engineer, or even a
Healthcare
In the rapidly evolving landscape of healthcare technology, Large Language Models (LLMs) like ChatGPT are emerging as powerful tools that have the potential to transform medical practice. These advanced AI systems, capable of understanding and generating human-like text based on vast amounts of data, offer numerous applications for healthcare professionals.
Healthcare
Introduction to Large Language Models (LLMs) Large Language Models (LLMs) represent a significant advancement in artificial intelligence, specifically in the domain of natural language processing. These sophisticated models are trained on extensive text datasets, enabling them to perform a wide array of language-related tasks with remarkable proficiency. Prominent examples of
Artificial Intelligence (AI)
Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. It is a powerful framework designed to streamline web development. It provides a robust set of features that
Artificial Intelligence (AI)
In the age of artificial intelligence, "Prompt Engineering" has emerged as a critical skill for harnessing the power of AI models like GPT-4. Prompt engineering involves crafting precise and effective prompts to guide AI models in generating desired outputs. This skill is becoming increasingly important as more industries
Artificial Intelligence (AI)
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Use-cases BricksLLM Here are some use cases for BricksLLM: * Set LLM usage limits
Artificial Intelligence (AI)
What is LangChain? LangChain is a comprehensive framework designed for the development of applications powered by large language models (LLMs). It simplifies the entire application lifecycle, offering numerous benefits for developers. Advantages One of the primary advantages of LangChain is its open-source libraries. Developers can leverage LangChain's open-source
data science
Unveiling the Essence of Data Science
Artificial Intelligence
OpenLLMetry, a set of extensions built on top of OpenTelemetry, is the perfect solution for developers seeking complete observability over their Language Learning Model (LLM) applications. This open-source tool provides comprehensive insights into your applications, contributing to improved performance and more efficient debugging. Advantage One significant advantage of OpenLLMetry is