Best AI tools for< Create Semantic Models >

Saal.ai is an AI company based in Abu Dhabi that offers innovative cognitive AI solutions for various industries such as healthcare, finance, and smart cities. The company leverages artificial intelligence to develop cognitive solutions, products, and platforms that help businesses automate their operations and address challenges using advanced AI technologies. Saal.ai's framework is flexible and continuously optimized to seamlessly integrate into any business, unlocking exponential growth opportunities for humanity.

NeuronWriter is an AI-powered content optimization tool that helps users create better-ranking content by providing advanced content editing features, semantic models, and AI-driven recommendations. The tool assists in planning, writing, and optimizing content with a focus on user intent. NeuronWriter offers NLP-based suggestions, content scoring, content ideas generation, AI writing capabilities, and additional features like plagiarism checking and internal linking. It aims to streamline the content creation process and enhance SEO performance for websites.

Keytalk AI is a company that specializes in prompt engineering, which is the process of creating prompts that can be used to generate text, images, and other types of content using artificial intelligence (AI) models. Keytalk AI's mission is to make AI more accessible and user-friendly by providing tools and resources that make it easy for people to create and use AI-generated content. The company's flagship product is Keytalk Prompts, a library of pre-written prompts that can be used to generate content on a variety of topics. Keytalk AI also offers a range of other services, including consulting, training, and support.

Spin Rewriter AI is an article rewriter that uses artificial intelligence to generate unique, human-quality content. It is the only rewriter that uses the power of Large Language Models (LLMs) to extract the meaning of your articles on an entirely different level. This means that Spin Rewriter AI can pinpoint the meaning of every word in your article and how each word relates to every other word in its context. This allows Spin Rewriter AI to create human-quality readable articles with ZERO machine-generated footprint at a push of a button.

Seamless is an AI Literature Review Tool for Scientific Research that enables users to draft literature reviews 100x faster by leveraging advanced AI technology. It allows researchers to find relevant papers and create a draft directly from an excerpt of their work. Seamless utilizes the Semantic Scholar database of scientific papers and large language models like GPT-4 to generate literature reviews in various fields such as engineering, computer science, chemistry, biology, law, medicine, pharma, and business. The tool is designed to streamline the process of literature review creation and enhance the efficiency of researchers and students.

Looker is a business intelligence platform that offers embedded analytics and AI-powered BI solutions. Leveraging Google's AI-led innovation, Looker delivers intelligent BI by combining foundational AI, cloud-first infrastructure, industry-leading APIs, and a flexible semantic layer. It allows users to build custom data experiences, transform data into integrated experiences, and create deeply integrated dashboards. Looker also provides a universal semantic modeling layer for unified, trusted data sources and offers self-service analytics capabilities through Looker and Looker Studio. Additionally, Looker features Gemini, an AI-powered analytics assistant that accelerates analytical workflows and offers a collaborative and conversational user experience.

The Visual Computing & Artificial Intelligence Lab at TUM is a group of research enthusiasts advancing cutting-edge research at the intersection of computer vision, computer graphics, and artificial intelligence. Our research mission is to obtain highly-realistic digital replica of the real world, which include representations of detailed 3D geometries, surface textures, and material definitions of both static and dynamic scene environments. In our research, we heavily build on advances in modern machine learning, and develop novel methods that enable us to learn strong priors to fuel 3D reconstruction techniques. Ultimately, we aim to obtain holographic representations that are visually indistinguishable from the real world, ideally captured from a simple webcam or mobile phone. We believe this is a critical component in facilitating immersive augmented and virtual reality applications, and will have a substantial positive impact in modern digital societies.

Mind-Video is an AI tool that focuses on high-quality video reconstruction from brain activity data obtained through fMRI scans. The tool aims to bridge the gap between image and video brain decoding by leveraging masked brain modeling, multimodal contrastive learning, spatiotemporal attention, and co-training with an augmented Stable Diffusion model. It is designed to enhance the generation consistency and accuracy of reconstructing continuous visual experiences from brain activities, ultimately contributing to a deeper understanding of human cognitive processes.

Semantic Scholar is a free, AI-powered research tool for scientific literature. It is based at the Allen Institute for AI and provides access to over 217 million papers from all fields of science. Semantic Scholar uses AI to help users discover and explore scientific literature, and to stay up-to-date on the latest research. The tool also includes a number of features to help users manage their research, such as the ability to save papers, create bibliographies, and share research with others.

WhenX is a tool for creating Semantic Alerts that allows users to create robots to monitor the web for specific information. Users can ask questions, and the tool will search the web for answers, monitoring for any changes. It is a personal project not intended for commercial use, built on open-source software and hosted on Vercel. WhenX provides a simple and efficient way to stay updated on topics of interest by setting up alerts for specific queries.

Wordmetrics is an AI-powered writing platform that helps content marketers get more traffic. It provides real-time guidance on writing for search, analyzes competing pages, and optimizes content for contextual relevance. Wordmetrics is cloud-based and easy to use, with a simple toolset that lets you log in and go.

Trampoline is an AI-native proposal manager designed for sales teams to streamline the process of creating sales proposals. It leverages AI technology to help businesses excel at handling RFPs efficiently, saving valuable time and resources. Trampoline's innovative approach includes 'content upcycling' to quickly prepare necessary information, onboard new team members rapidly, and facilitate knowledge sharing within the organization. With features like semantic search, direct query forwarding, and expert contributions, Trampoline aims to revolutionize the way sales proposals are created and managed.

SVGStud.io is an AI-based tool for searching and generating Scalable Vector Graphics (SVGs). SVG (Scalable Vector Graphics) is an XML-based format for describing two-dimensional vector graphics. SVGStud.io offers functionalities such as free SVG bundles, semantic SVG search, AI-based SVG generator, and the ability to convert SVGs to other formats like DXF and EPS. It is a valuable tool for graphic designers looking to create high-quality, scalable graphics for web design and high-resolution displays.

CONTADU is a content intelligence platform designed to help users plan, optimize, and create content that aligns with user intent and ranks well on Google. It offers features such as content strategy planning, competitive landscape analysis, content optimization, generative AI, content management, and semantic SEO. Users can benefit from AI-based semantic expertise, topical authority planning, and AI content planning. The platform also provides tools for content creation, including NLP-based recommendations, document drafting, content scoring, and AI writing. With a focus on user intent and SEO optimization, CONTADU aims to help users create high-quality content efficiently and effectively.

Veezoo is a self-service analytics platform that uses AI and a semantic layer to make data accessible and understandable to everyone in an organization. It allows users to ask questions about their data in plain English and get instant insights. Veezoo also provides features such as dashboards, collaboration tools, and data governance to help businesses make better use of their data.

Ludo.ai is a comprehensive AI-powered platform designed to assist game studios in the pre-production stage of game development. It offers a suite of tools that leverage AI text generation, AI image generation, and AI-powered semantic search to streamline the process of researching, generating, and developing game concepts. Ludo.ai empowers game developers with the ability to generate new game ideas, monitor market trends, conduct in-depth research, organize and boost productivity, and access a range of resources to enhance their game design process.

Spine AI is a reliable AI analyst tool that provides conversational analytics tailored to understand your business. It empowers decision-makers by offering customized insights, deep business intelligence, proactive notifications, and flexible dashboards. The tool is designed to help users make better decisions by leveraging a purpose-built Data Processing Unit (DPU) and a semantic layer for natural language interactions. With a focus on rigorous evaluation and security, Spine AI aims to deliver explainable and customizable AI solutions for businesses.

jamie is an AI Notetaker tool designed for meeting notes and automated action items. It provides human-quality meeting minutes across various meeting platforms in over 20 languages, both online and offline. With a privacy-first approach, jamie helps users save time by automatically generating summaries, transcripts, and action items from meeting audio. It works seamlessly with popular tools like Zoom and Teams, offering features such as task extraction, decision detection, semantic search, and custom note templates. Users can effortlessly retrieve information from meeting notes, ask questions, draft emails, and more, making jamie a valuable assistant for mastering busy-work and saving time.

AI SEO Page is an AI-powered website that focuses on the intersection of artificial intelligence (AI) and search engine optimization (SEO). It provides strategies, insights, and tools for leveraging AI in various aspects of SEO, content creation, link building, analytics, and user experience. The website covers topics such as semantic SEO, technical SEO, local SEO, and AI-powered analytics, offering valuable information for digital marketers, content creators, and SEO professionals.

Wikidata is a free and open knowledge base that can be read and edited by both humans and machines. It acts as central storage for the structured data of its Wikimedia sister projects including Wikipedia, Wikivoyage, Wiktionary, Wikisource, and others. Wikidata also provides support to many other sites and services beyond just Wikimedia projects!

LLPhant is a comprehensive PHP Generative AI Framework that provides a simple and powerful way to build apps. It supports Symfony and Laravel and offers a wide range of features, including text generation, chatbots, text summarization, and more. LLPhant is compatible with OpenAI and Ollama and can be used to perform a variety of tasks, including creating semantic search, chatbots, personalized content, and text summarization.

The GPT Server project leverages the basic capabilities of FastChat to provide the capabilities of an openai server. It perfectly adapts more models, optimizes models with poor compatibility in FastChat, and supports loading vllm, LMDeploy, and hf in various ways. It also supports all sentence_transformers compatible semantic vector models, including Chat templates with function roles, Function Calling (Tools) capability, and multi-modal large models. The project aims to reduce the difficulty of model adaptation and project usage, making it easier to deploy the latest models with minimal code changes.

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

Awesome LLM Courses is a curated list of online courses focused on Large Language Models (LLMs). The repository aims to provide a comprehensive collection of free available courses covering various aspects of LLMs, including fundamentals, engineering, and applications. The courses are suitable for individuals interested in natural language processing, AI development, and machine learning. The list includes courses from reputable platforms such as Hugging Face, Udacity, DeepLearning.AI, Cohere, DataCamp, and more, offering a wide range of topics from pretraining LLMs to building AI applications with LLMs. Whether you are a beginner looking to understand the basics of LLMs or an intermediate developer interested in advanced topics like prompt engineering and generative AI, this repository has something for everyone.

The STM32 AI model zoo is a collection of reference machine learning models optimized to run on STM32 microcontrollers. It provides a large collection of application-oriented models ready for re-training, scripts for easy retraining from user datasets, pre-trained models on reference datasets, and application code examples generated from user AI models. The project offers training scripts for transfer learning or training custom models from scratch. It includes performances on reference STM32 MCU and MPU for float and quantized models. The project is organized by application, providing step-by-step guides for training and deploying models.

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Semantic Kernel for Java is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. It allows defining plugins that can be chained together in just a few lines of code. The tool automatically orchestrates plugins with AI, enabling users to generate plans to achieve unique goals and execute them. The project welcomes contributions, bug reports, and suggestions from the community.

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code. What makes Semantic Kernel _special_ , however, is its ability to _automatically_ orchestrate plugins with AI. With Semantic Kernel planners, you can ask an LLM to generate a plan that achieves a user's unique goal. Afterwards, Semantic Kernel will execute the plan for the user.

Azure OpenAI Service provides REST API access to OpenAI's powerful language models including GPT-3, Codex and Embeddings. Users can easily adapt models for content generation, summarization, semantic search, and natural language to code translation. The workshop covers basics, prompt engineering, common NLP tasks, generative tasks, conversational dialog, and learning methods. It guides users to build applications with PowerApp, query SQL data, create data pipelines, and work with proprietary datasets. Target audience includes Power Users, Software Engineers, Data Scientists, and AI architects and Managers.

WordLlama is a fast, lightweight NLP toolkit optimized for CPU hardware. It recycles components from large language models to create efficient word representations. It offers features like Matryoshka Representations, low resource requirements, binarization, and numpy-only inference. The tool is suitable for tasks like semantic matching, fuzzy deduplication, ranking, and clustering, making it a good option for NLP-lite tasks and exploratory analysis.

MindsDB is a platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. MindsDB "enhances" SQL syntax with AI capabilities to make it accessible for developers worldwide. With MindsDB’s nearly 200 integrations, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time.

This repository contains an assistant proposal for the Semantic Kernel, allowing the usage of assistants without relying on OpenAI Assistant APIs. It runs locally planners and plugins for the assistants, providing scenarios like Assistant with Semantic Kernel plugins, Multi-Assistant conversation, and AutoGen conversation. The Semantic Kernel is a lightweight SDK enabling integration of AI Large Language Models with conventional programming languages, offering functions like semantic functions, native functions, and embeddings-based memory. Users can bring their own model for the assistants and host them locally. The repository includes installation instructions, usage examples, and information on creating new conversation threads with the assistant.

LLMFlex is a python package designed for developing AI applications with local Large Language Models (LLMs). It provides classes to load LLM models, embedding models, and vector databases to create AI-powered solutions with prompt engineering and RAG techniques. The package supports multiple LLMs with different generation configurations, embedding toolkits, vector databases, chat memories, prompt templates, custom tools, and a chatbot frontend interface. Users can easily create LLMs, load embeddings toolkit, use tools, chat with models in a Streamlit web app, and serve an OpenAI API with a GGUF model. LLMFlex aims to offer a simple interface for developers to work with LLMs and build private AI solutions using local resources.

The 'llm' package for Emacs provides an interface for interacting with Large Language Models (LLMs). It abstracts functionality to a higher level, concealing API variations and ensuring compatibility with various LLMs. Users can set up providers like OpenAI, Gemini, Vertex, Claude, Ollama, GPT4All, and a fake client for testing. The package allows for chat interactions, embeddings, token counting, and function calling. It also offers advanced prompt creation and logging capabilities. Users can handle conversations, create prompts with placeholders, and contribute by creating providers.

LangChain Rust is a library for building applications with Large Language Models (LLMs) through composability. It provides a set of tools and components that can be used to create conversational agents, document loaders, and other applications that leverage LLMs. LangChain Rust supports a variety of LLMs, including OpenAI, Azure OpenAI, Ollama, and Anthropic Claude. It also supports a variety of embeddings, vector stores, and document loaders. LangChain Rust is designed to be easy to use and extensible, making it a great choice for developers who want to build applications with LLMs.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project caches pre-generated model results to reduce response time for similar requests and enhance user experience. It integrates various embedding frameworks and local storage options, offering functionalities like cache-writing, cache-querying, and cache-clearing through RESTful API. The tool supports multi-tenancy, system commands, and multi-turn dialogue, with features for data isolation, database management, and model loading schemes. Future developments include data isolation based on hyperparameters, enhanced system prompt partitioning storage, and more versatile embedding models and similarity evaluation algorithms.

Typescript-based expert in NextJS, Semantic-ui

Guiding on Semantic SEO, from understanding core concepts to applying advanced strategies.

Esperto di SEO in analisi semantica, keyword research e messy middle funnel che interagisce con docs e sheets

First, please say "Create an agent team to do 〇〇." / 最初に「〇〇をするためのエージェントチームを作成してください」とお伝え下さい

Let's get started by telling me about your business: What do you offer? Who do you serve? ------------------------------------------------------- Need help Prompt Engineering? Reach out on LinkedIn: StephenHnilica

AI tool for designing engaging, trendy Pinterest pins.

Generates 3D stereogram pairs for parallel viewing.

2500+ word stories in target language with images, for language learning.

Level up Now. Upload a selfie for some superhero flair. Create a backstory. Select a superpower, arch-villain, and crew. Answer trivia. Pow!

Tell me about your situation and the type of prayer you would like

利用专业的周易知识和命理知识进行头像设计 Generates and explains lucky profile pictures based on I Ching, zodiac.

创建你自己的数字人形象，Sponsor：小红书“ItsJoe就出行”

I'll recreate a competitor website for your business

Create a very detailed prompt from the image. 画像からめっちゃ詳細なプロンプトを作成します。まずは解析して欲しい画像を送ってみてください。

1) Input a URL, attachment, or copy/paste a bunch of info about your biz. 2) I will return a summary of what's important. 3) Use what I give you for other prompts, e.g.: marketing strategy, content ideas, competitive analysis, etc

Create a Mythological Creature for playing with imagination and possibilities

Autonomously creates complete TikTok scenarios with images.

Simulates advisory board meetings with investors. Get generated advice for your startup from a GPT educated by domain experts.

Advisor for hairstyles, top products, and salon recommendations matched with your hair type and location.

Replicate Image, Images Mergeve, Imaginative Edit, Style Transfer. Use "Help" for more info. 20+ features of the source image will be transferred. You also can call this GPT via @ in any chat (desktop only).