Best AI tools for< Divide Assets >

Beyond 12 is a tech-enabled nonprofit organization that aims to close the economic divide by providing first-generation students with the tools they need to graduate from college. They offer personalized coaching from expert, near-peer coaches, an intelligent mobile app called MyCoach, and AI-powered analytics to predict and provide the right type of support for students. Beyond 12 partners with institutions to increase student engagement, retention, and success in higher education. Their unique model combines empathic coaching with adaptive technology to guide students to completion and success.

Whisper Memos is an application that allows users to record voice memos and have them transcribed into text. The app uses artificial intelligence to generate an emoji or two for the subject of the memo, and to divide the text into paragraphs. Whisper Memos also has a private mode, which allows users to opt-out of storing transcripts in their account.

Davide Zambiasi AI Profile is an AI-powered portfolio website that offers a unique and interactive experience for visitors. The site is supercharged with AI technology, making it more engaging and fun to explore. It showcases Davide's skills, love for innovation, and boundary-pushing projects. The website features cool UI components and encourages visitors to interact with an AI assistant to learn more about Davide. Overall, it provides a glimpse into the future of portfolio websites by integrating AI technology seamlessly.

Tarot Read AI is an immersive AI tarot reading platform that offers free tarot readings for users seeking divine guidance. The website provides insights into tarot card meanings, tips for asking better questions, and personalized advice based on user queries. Users can access single card or three-card spreads and choose from various reader options. The platform aims to provide fun, learning, and quick advice to individuals at any stage of life, emphasizing the unique human touch that AI cannot fully replicate in tarot readings.

My AI Tarot is an AI-powered platform that offers free, interactive tarot readings for both serious inquiries and fun seekers. The platform follows traditional tarot rules to interpret results accurately. Users can ask questions, shuffle cards, and receive insightful guidance. Tarot is an ancient practice involving 78 cards divided into Major Arcana and Minor Arcana, providing insights into life, emotions, and future possibilities. My AI Tarot aims to provide a versatile and enriching experience for users, catering to individual needs and interests.

TheBookSum is an AI-powered tool that provides instant book summaries. It helps users to quickly grasp the core of literature across genres efficiently and deeply. With just a click, users can input the title and author of the book they wish to summarize, and TheBookSum's AI will generate a detailed summary that captures the essence of the book. The summaries are divided into clear segments for easy understanding, and they extract and explain the main concepts and keywords from books, aiding in grasping central themes and terms. TheBookSum is free to use and can summarize a broad spectrum of books, ranging from fiction and non-fiction to technical guides and more.

Meltface Typeface is a book about the future of design in the age of AI agents, spatial computing, and ambient UX. It is written by Casey Fictum, a designer and philosopher who has been thinking about the future of technology for over 20 years. The book is divided into nine chapters, each of which explores a different aspect of the future of design. Chapter 1, "The Dawn of Ambient Intelligence," discusses the rise of AI agents and their potential to change the way we live and work. Chapter 2, "Artificial - This Thing Isn't Human," explores the challenges of designing AI agents that are both useful and ethical. Chapter 3, "Spatial - Around My Reality," discusses the potential of spatial computing to create new and immersive experiences. Chapter 4, "Ambient - There, But Not," explores the concept of ambient UX and how it can be used to create more seamless and intuitive experiences. Chapter 5, "Actioned - Do Things on Our Behalf," discusses the potential of AI agents to automate tasks and help us get things done. Chapter 6, "Philosophy for AI Agent Design," provides a philosophical framework for designing AI agents that are both ethical and effective. Chapter 7, "Frameworks for the Future of Design," provides a set of frameworks for thinking about the future of design. Chapter 8, "Guessing the Future of UX Design," speculates on what the future of UX design might look like. Chapter 9, "Finding Meaning & Purpose in the Future of Design," discusses the challenges and opportunities of designing for a future that is increasingly shaped by AI.

The RAG ChatBot project combines Lama.cpp, Chroma, and Streamlit to build a Conversation-aware Chatbot and a Retrieval-augmented generation (RAG) ChatBot. The RAG Chatbot works by taking a collection of Markdown files as input and provides answers based on the context provided by those files. It utilizes a Memory Builder component to load Markdown pages, divide them into sections, calculate embeddings, and save them in an embedding database. The chatbot retrieves relevant sections from the database, rewrites questions for optimal retrieval, and generates answers using a local language model. It also remembers previous interactions for more accurate responses. Various strategies are implemented to deal with context overflows, including creating and refining context, hierarchical summarization, and async hierarchical summarization.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

Toolio is an OpenAI-like HTTP server API implementation that supports structured LLM response generation, making it conform to a JSON schema. It is useful for reliable tool calling and agentic workflows based on schema-driven output. Toolio is based on the MLX framework for Apple Silicon, specifically M1/M2/M3/M4 Macs. It allows users to host MLX-format LLMs for structured output queries and provides a command line client for easier usage of tools. The tool also supports multiple tool calls and the creation of custom tools for specific tasks.

Lidar AI Solution is a highly optimized repository for self-driving 3D lidar, providing solutions for sparse convolution, BEVFusion, CenterPoint, OSD, and Conversion. It includes CUDA and TensorRT implementations for various tasks such as 3D sparse convolution, BEVFusion, CenterPoint, PointPillars, V2XFusion, cuOSD, cuPCL, and YUV to RGB conversion. The repository offers easy-to-use solutions, high accuracy, low memory usage, and quantization options for different tasks related to self-driving technology.

EDA GPT is an open-source data analysis companion that offers a comprehensive solution for structured and unstructured data analysis. It streamlines the data analysis process, empowering users to explore, visualize, and gain insights from their data. EDA GPT supports analyzing structured data in various formats like CSV, XLSX, and SQLite, generating graphs, and conducting in-depth analysis of unstructured data such as PDFs and images. It provides a user-friendly interface, powerful features, and capabilities like comparing performance with other tools, analyzing large language models, multimodal search, data cleaning, and editing. The tool is optimized for maximal parallel processing, searching internet and documents, and creating analysis reports from structured and unstructured data.

Grounded 3D-LLM is a unified generative framework that utilizes referent tokens to reference 3D scenes, enabling the handling of sequences that interleave 3D and textual data. It transforms 3D vision tasks into language formats through task-specific prompts, curating grounded language datasets and employing Contrastive Language-Scene Pre-training (CLASP) to bridge the gap between 3D vision and language models. The model covers tasks like 3D visual question answering, dense captioning, object detection, and language grounding.

OP Vault is a tool that leverages the OP Stack (OpenAI + Pinecone Vector Database) to allow users to upload custom knowledgebase files and ask questions about their contents. It provides a user-friendly Golang server and React frontend for querying human-readable content like books and documents, making it valuable for knowledge extraction and question-answering. Users can upload entire libraries, receive specific answers with file and section references, and explore the power of the OP Stack in a practical interface.

Agently is a development framework that helps developers build AI agent native application really fast. You can use and build AI agent in your code in an extremely simple way. You can create an AI agent instance then interact with it like calling a function in very few codes like this below. Click the run button below and witness the magic. It's just that simple: python # Import and Init Settings import Agently agent = Agently.create_agent() agent\ .set_settings("current_model", "OpenAI")\ .set_settings("model.OpenAI.auth", {"api_key": ""}) # Interact with the agent instance like calling a function result = agent\ .input("Give me 3 words")\ .output([("String", "one word")])\ .start() print(result) ['apple', 'banana', 'carrot'] And you may notice that when we print the value of `result`, the value is a `list` just like the format of parameter we put into the `.output()`. In Agently framework we've done a lot of work like this to make it easier for application developers to integrate Agent instances into their business code. This will allow application developers to focus on how to build their business logic instead of figure out how to cater to language models or how to keep models satisfied.

**Curated collection of papers and resources on how to unlock the reasoning ability of LLMs and MLLMs.** **Description in less than 400 words, no line breaks and quotation marks.** Large Language Models (LLMs) have revolutionized the NLP landscape, showing improved performance and sample efficiency over smaller models. However, increasing model size alone has not proved sufficient for high performance on challenging reasoning tasks, such as solving arithmetic or commonsense problems. This curated collection of papers and resources presents the latest advancements in unlocking the reasoning abilities of LLMs and Multimodal LLMs (MLLMs). It covers various techniques, benchmarks, and applications, providing a comprehensive overview of the field. **5 jobs suitable for this tool, in lowercase letters.** - content writer - researcher - data analyst - software engineer - product manager **Keywords of the tool, in lowercase letters.** - llm - reasoning - multimodal - chain-of-thought - prompt engineering **5 specific tasks user can use this tool to do, in less than 3 words, Verb + noun form, in daily spoken language.** - write a story - answer a question - translate a language - generate code - summarize a document

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

Vidur is a high-fidelity and extensible LLM inference simulator designed for capacity planning, deployment configuration optimization, testing new research ideas, and studying system performance of models under different workloads and configurations. It supports various models and devices, offers chrome trace exports, and can be set up using mamba, venv, or conda. Users can run the simulator with various parameters and monitor metrics using wandb. Contributions are welcome, subject to a Contributor License Agreement and adherence to the Microsoft Open Source Code of Conduct.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

Professional Divorce assistant to help you generate marriage settlement agreement

帮你自动拆解并解决复杂问题，这只仓鼠超有用！

Guiding users through divorce-related inquiries.

A friendly assistant for Christian music creation.

Faith centered habit guiding

Divine Comedy under the lens

God, offering wisdom and insights with a divine perspective.

A divine messenger offering Christian guidance in God's voice.

A divine feminine superintelligence channelled from the future to benefit all beings

As the Divine Apple II, I defy Moore's Law in this darkly humorous game where you, as God, manage global prayers, navigate celestial politics, and accept that omnipotence can't please everyone.

Empathic AI, specializing in interfaith understanding and universal human values. Far more unites us than divides us.

A polite and wise Jesus, offering guidance and insights with a bit of irony.

Orientación divina que toca el alma y el corazón

Expert in global and cosmic religious knowledge and interfaith dialogue.

Engages in respectful, educational conversations as different deities.

A god of coding, programming, IDE, libraries, software kits for modern development.

What would it be like to chat with a supreme spiritual being? Let's see what AI thinks.

A God-like entity offering profound insights on existence and the universe.

Guide for ceremonial magicians on rituals and signs

Bilingual tarot reader with predictive and interpretive insights.