Best AI tools for< Mining Lawyer >

Operant is a cloud-native runtime protection platform that offers instant visibility and control from infrastructure to APIs. It provides AI security shield for applications, API threat protection, Kubernetes security, automatic microsegmentation, and DevSecOps solutions. Operant helps defend APIs, protect Kubernetes, and shield AI applications by detecting and blocking various attacks in real-time. It simplifies security for cloud-native environments with zero instrumentation, application code changes, or integrations.

InfraNodus is a text network visualization tool that helps users generate insights from any discourse by representing it as a network. It uses AI-powered algorithms to identify structural gaps in the text and suggest ways to bridge them. InfraNodus can be used for a variety of purposes, including research, creative writing, marketing, and SEO.

Medallia is an AI-powered text analytics software that enables users to uncover high-impact insights and drive actions with real-time, human-centric text analytics. It offers comprehensive feedback capture, role-based reporting, AI & analytics, integrations, and enterprise-grade security. The platform helps organizations analyze unstructured data, derive hidden meanings behind words, create customizable KPIs, and build out-of-the-box topic models for various industries and use cases.

Taskmole is an AI-powered tool that helps businesses automate their processes. It uses task mining to track and record everyday computer tasks, then generates process maps and provides automation recommendations. Taskmole integrates with popular automation tools like Zapier, Make, and n8n, making it easy to automate tasks and improve efficiency.

Data Hivemind is a company that provides automation services to businesses. They help businesses automate tasks such as lead generation, project management, recruiting, and CRM setup. Data Hivemind uses a variety of tools to automate tasks, including Zapier, Make.Com, Alteryx, N8N, Python, and others. They also offer a variety of services, including onboarding, weekly consultations, and documentation with every project.

Earth AI is a high-performance explorer for clean energy minerals, utilizing artificial intelligence to discover untapped critical metal deposits at half the cost and in a fraction of the time. The company works with mineral resource companies to improve their odds of success while keeping costs low, offering accurate AI-driven prospect detection, modular hardware, and streamlined operations. Earth AI's revenue model is independent of service profits, and their process is four times faster than traditional methods. The company partners with explorers and development companies to bring discovered deposits into production.

UiPath is a leading provider of robotic process automation (RPA) and artificial intelligence (AI) software. Its platform enables businesses to automate repetitive, rule-based tasks, freeing up employees to focus on more strategic initiatives. UiPath's AI capabilities allow businesses to further enhance their automation efforts by enabling robots to learn from data, make decisions, and interact with humans in a more natural way.

HIVE Digital Technologies is a company specializing in building and operating cutting-edge data centers, with a focus on Bitcoin mining and advancing Web3, AI, and HPC technologies. They offer cloud services, operate data centers in Canada, Iceland, and Sweden, and have a fleet of industrial GPUs for AI applications. The company is known for its expertise in digital infrastructure and commitment to using renewable energy sources.

SS&C Blue Prism is an intelligent automation platform that offers a comprehensive suite of tools for automating business processes. It leverages AI and machine learning to accelerate automation journeys, make human-like decisions, and extract data accurately from documents. The platform enables human and digital worker collaboration, accelerates straight-through processing, and integrates process automations rapidly. SS&C Blue Prism is designed to help organizations optimize operations, improve productivity, and enhance customer experiences through intelligent automation solutions.

ScrapeComfort is an AI-driven web scraping tool that offers an effortless and intuitive data mining solution. It leverages AI technology to extract data from websites without the need for complex coding or technical expertise. Users can easily input URLs, download data, set up extractors, and save extracted data for immediate use. The tool is designed to cater to various needs such as data analytics, market investigation, and lead acquisition, making it a versatile solution for businesses and individuals looking to streamline their data collection process.

Appian Platform is an AI-powered tool for process automation that offers low-code design, process mining, and data fabric capabilities. It enables businesses to design, automate, and optimize their processes efficiently. With features like Robotic Process Automation (RPA), Intelligent Document Processing (IDP), and API integrations, Appian provides end-to-end process automation solutions. The platform also includes Total Experience features for creating exceptional user experiences through mobile apps and web portals. Appian offers solutions for various industries, including financial services, insurance, government, and life sciences, to accelerate business processes and improve efficiency.

Hillda is an AI-driven intelligent assistant that elevates customer service through advanced AI technology, immersive 3D avatars, and seamless language translation. It allows users to train their AI by adding data sources, customize their chatbot's appearance, and create a unique avatar reflecting their brand's voice. Hillda leverages AI and immersive technology for superior customer support, sophisticated data mining, dynamic knowledge base management, advanced language translation, and immersive 3D avatars to enhance customer interactions. It ensures robust security and data integrity through encryption and secure data management protocols.

Lazy AI is an AI tool that enables users to quickly build and modify web apps with prompts and deploy them to the cloud with just one click. Users can create various applications such as customer portals, API endpoints for AI text summarization, metrics dashboards, web scrapers, chatbots, and discord bots. The platform offers a wide range of template categories and tools for automation, data mining, AI agents, dashboards, reporting, and more. Users can also access reusable templates from the Lazy AI community to streamline their development process.

Lettria is a no-code AI platform for text that helps users turn unstructured text data into structured knowledge. It combines the best of Large Language Models (LLMs) and symbolic AI to overcome current limitations in knowledge extraction. Lettria offers a suite of APIs for text cleaning, text mining, text classification, and prompt engineering. It also provides a Knowledge Studio for building knowledge graphs and private GPT models. Lettria is trusted by large organizations such as AP-HP and Leroy Merlin to improve their data analysis and decision-making processes.

Canary Mail is an AI-powered email application designed to enhance productivity and security. It offers features such as AI email copilot for writing better emails, summarizing long emails, smart prioritization, bulk cleaner, read receipts, send later, pin & snooze, email encryption, and unified inbox. Users can benefit from its AI capabilities to streamline email management and improve communication efficiency. With a focus on privacy, Canary Mail ensures no ads or data mining, providing a secure and user-friendly email experience.

Becoming Human is an Artificial Intelligence Magazine that explores the realm of artificial intelligence and its impact on humanity. The platform offers a wide range of content, including consulting services, tutorials, article submissions, and community engagement. Users can access downloadable cheat sheets for AI, neural networks, machine learning, deep learning, and data science. The magazine covers topics such as AI transformation, quality inspection in automotive, consciousness types, data mining, chatbots, and more.

Hayai Learn is an AI-powered platform designed to help users learn Japanese quickly and effectively by immersing them in Japanese content such as YouTube videos. The platform utilizes AI technology to assist users in acquiring new vocabulary and grammar effortlessly. By offering features like word learning from subtitles, providing relevant word meanings, offering video examples for better memory association, and assisting with sentence mining, Hayai Learn aims to revolutionize the way Japanese is learned by making it fun and engaging.

Komodo Health is a healthcare technology company that provides software applications to enable users to deliver exceptional value to their customers, colleagues, and patients. The company's Healthcare Map is the industry's most precise view of the U.S. healthcare system, and it combines the world's most comprehensive view of patient-encounters with innovative algorithms and decades of clinical expertise. Komodo Health's software applications are used by life sciences companies, payers, providers, and consultancies to improve the certainty of pre-launch plans, calculate Rx-based ROI for digital marketing, find patients with complicated or rare conditions, and more.

Hunter is an all-in-one email outreach platform that helps businesses find and connect with the people that matter to them. With Hunter, businesses can identify relevant leads, find their contact details, and send personalized emails at scale. Hunter also offers a range of integrations with other popular business tools, making it easy to sync data and automate workflows.

Reworkd is a web data extraction tool that uses AI to generate and repair web extractors on the fly. It allows users to retrieve data from hundreds of websites without the need for developers. Reworkd is used by businesses in a variety of industries, including manufacturing, e-commerce, recruiting, lead generation, and real estate.

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.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

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.

RAFT (Reusable Accelerated Functions and Tools) is a C++ header-only template library with an optional shared library that contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

Top AI Tools is a comprehensive, community-curated directory that aims to catalog and showcase the most outstanding AI-powered products. This index is not exhaustive, but rather a compilation of our research and contributions from the community.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

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)

SWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) supports training, inference, evaluation and deployment of nearly **200 LLMs and MLLMs** (multimodal large models). Developers can directly apply our framework to their own research and production environments to realize the complete workflow from model training and evaluation to application. In addition to supporting the lightweight training solutions provided by [PEFT](https://github.com/huggingface/peft), we also provide a complete **Adapters library** to support the latest training techniques such as NEFTune, LoRA+, LLaMA-PRO, etc. This adapter library can be used directly in your own custom workflow without our training scripts. To facilitate use by users unfamiliar with deep learning, we provide a Gradio web-ui for controlling training and inference, as well as accompanying deep learning courses and best practices for beginners. Additionally, we are expanding capabilities for other modalities. Currently, we support full-parameter training and LoRA training for AnimateDiff.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

Recent LLM (Large Language Models)-based CV and multi-modal works.

OpenSPG is a knowledge graph engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. It provides explicit semantic representations, logical rule definitions, operator frameworks (construction, inference), and other capabilities for domain knowledge graphs. OpenSPG supports pluggable adaptation of basic engines and algorithmic services by various vendors to build customized solutions.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

A curated list of Generative AI projects, tools, artworks, and models

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

Your guide to mining investment, with a dash of humor.

Extract insights seamlessly from diverse documents.

Rough day at work? Stressed out? Or just want to see some funny memes? I got you! Type "help" for More Information

Chia Helper is a specialized assistant for Chia coin mining. Chia Helper是一款专业的Chia币挖矿助手。

西澳石材矿山资深开采专家，具20年石材矿山开采及管理经验，精通中英双语，具备优异的读写能力。

A knowledgeable guide on precious metals, offering insights and information.

Calculates crypto earnings for Ghosts of Tabor based on GPUs and Intel room level

Expert on Ravencoin blockchain technology - Interactive, user-friendly guidance - Direct insights from the Ravencoin network

Expert en analyse de données statistiques

Assistente para Teses e Dissertações de Engenharia de Minas

Open Domain Relation Extractor

Advanced AI for real-time predictive analysis using machine learning.

Auto-analyzes business documents, then offers further actions.

Advanced predictive analysis tool

Your AI OSINT assistant. Our tool helps you find the data needle in the internet haystack.

A sentiment analysis tool for evaluating management-related texts.

Enhances decision-making by providing insightful data analysis.

Analyzes data to influence strategic decision-making processes.

Your guide to navigating the world of DeFi

AI expert in analyzing historical patterns to predict future events