Best AI tools for< Training Classifiers >

Datumbox is a machine learning platform that offers a powerful open-source Machine Learning Framework written in Java. It provides a large collection of algorithms, models, statistical tests, and tools to power up intelligent applications. The platform enables developers to build smart software and services quickly using its REST Machine Learning API. Datumbox API offers off-the-shelf Classifiers and Natural Language Processing services for applications like Sentiment Analysis, Topic Classification, Language Detection, and more. It simplifies the process of designing and training Machine Learning models, making it easy for developers to create innovative applications.

SC Training, formerly known as EdApp, is a mobile learning management system that offers a wide range of features to enhance the training experience for both administrators and learners. The platform provides tools for creating, managing, and tracking training courses, with a strong focus on microlearning and gamification. SC Training aims to deliver bite-sized, engaging content that can be accessed anytime, anywhere, on any device. The application also incorporates AI technology to streamline course creation and improve the learning experience. With a diverse course library, practical assessments, and group training capabilities, SC Training is designed to help organizations deliver effective and efficient training programs.

SC Training, formerly known as EdApp, is a mobile learning management system that offers a comprehensive platform for creating, delivering, and tracking training courses. The application provides features such as admin control, content creation tools, analytics tracking, AI course generation, microlearning courses, gamification elements, and support for various industries. SC Training aims to deliver efficient and engaging training experiences to users, with a focus on bite-sized learning and accessibility across devices. The platform also offers course libraries, practical assessments, rapid course refresh, and group training options. Users can customize courses, integrate with existing tools, and access a range of resources through the help center and blog.

The website is a platform offering AI training and conferences for data science practitioners. It provides live and on-demand events, bootcamps, certifications, and courses covering various AI topics such as deep learning, machine learning, and generative AI. Users can access expert-led training sessions, workshops, and hands-on projects to enhance their AI skills and knowledge. The platform aims to unlock potential opportunities for learning, networking, and professional growth in the field of AI and data science.

Macgence is an AI training data services platform that offers high-quality off-the-shelf structured training data for organizations to build effective AI systems at scale. They provide services such as custom data sourcing, data annotation, data validation, content moderation, and localization. Macgence combines global linguistic, cultural, and technological expertise to create high-quality datasets for AI models, enabling faster time-to-market across the entire model value chain. With more than 5 years of experience, they support and scale AI initiatives of leading global innovators by designing custom data collection programs. Macgence specializes in handling AI training data for text, speech, image, and video data, offering cognitive annotation services to unlock the potential of unstructured textual data.

Endurance is a platform designed for runners, swimmers, and cyclists to engage in group training activities with friends or local communities. Users can create or join teams, share structured workouts, and benefit from collective motivation and accountability. The platform aims to make training fun and effective by leveraging the power of group workouts and social connections.

LEAi is an AI-powered tool designed for training course content authoring. It enables users to quickly create, update, and repurpose training courses by leveraging artificial intelligence to streamline the course creation process. LEAi eliminates manual tasks, provides real-time guidance on course structure and content writing, and ensures optimal learning outcomes by applying best practices in course development. The tool is ideal for companies looking to save time and resources in developing high-quality training content.

Lingio is an AI-powered employee training software designed for frontline workers, offering gamified learning experiences and mobile-based training solutions. The platform combines gamification and AI to enhance course completion rates and improve learning outcomes for deskless industries such as hospitality, cleaning, transportation, elderly care, and facility management.

Weekly Workout is an AI-powered fitness platform that provides personalized workout plans and tracks your progress. With Weekly Workout, you can get four days of invigorating exercise routines every week, tailored to your fitness level and goals. The platform also offers a weekly newsletter with tips and advice from fitness experts.

Zenfit AI is a revolutionary personalized training application that leverages artificial intelligence to transform fitness journeys. It offers tailored exercises, real-time workout generation, performance tracking, and automatic program adjustments. Users can create personalized training programs by providing their details. Zenfit addresses the challenges of achieving fitness goals efficiently by providing personalized training and coaching through AI, benefiting both fitness enthusiasts and personal trainers. The application is still in its early stages with potential features in the pipeline for fitness enthusiasts and personal trainers. The mission of Zenfit is to make fitness training more accessible, personalized, and effective for everyone involved.

Grasply.ai is an AI-powered personalized training solution that transforms documents into impactful learning resources using multi-agent AI training assistants. It enhances productivity, improves skill transfer, and empowers teams to succeed by creating customized learning resources for training and assessment. Grasply allows users to upload documents, define learning goals, customize the learning experience, build tailored micro-courses with AI, share personalized courses, and track learner progress. It offers different pricing plans with varying features to cater to different user needs.

Atlanta Voiceover Studio is a professional voiceover training and recording studio based in Atlanta, GA. They offer a wide range of workshops and classes for voiceover artists of all levels, from beginners to experienced professionals. The studio provides training in various aspects of voiceover work, including animation, commercial voiceover, audiobook narration, and more. In addition to training, they also offer services such as auditions, demos, and business coaching to help voiceover artists succeed in the industry.

FluidStack is a leading GPU cloud platform designed for AI and LLM (Large Language Model) training. It offers unlimited scale for AI training and inference, allowing users to access thousands of fully-interconnected GPUs on demand. Trusted by top AI startups, FluidStack aggregates GPU capacity from data centers worldwide, providing access to over 50,000 GPUs for accelerating training and inference. With 1000+ data centers across 50+ countries, FluidStack ensures reliable and efficient GPU cloud services at competitive prices.

Solidroad is an AI-first training and feedback platform that turns company knowledge-base into immersive training programs. It offers personalized coaching, realistic simulations, and real-time feedback to improve team performance. The platform aims to make training programs easier to manage and more engaging for employees.

SymTrain is an AI-powered platform that automates training and coaching for contact center agents. By utilizing simulations and AI technology, SymTrain offers a cost-effective solution that enhances agent performance, reduces training time, and improves overall customer satisfaction. The platform provides automated role-play scenarios, consistent feedback, and data-driven coaching to help organizations streamline their training processes and achieve better results. SymTrain revolutionizes how companies train and coach their agents, leading to increased efficiency, revenue, and customer satisfaction.

Impakt is an AI fitness coaching application that offers personalized workout plans, real-time feedback, community support, and tailored workouts to help users reach their fitness goals. The app allows users to track workouts, analyze performance, share progress, and receive insights to improve their fitness journey. With a focus on community engagement and athlete endorsements, Impakt aims to provide a comprehensive fitness experience for users of all levels.

BuildAi is an AI tool designed to provide the lowest cost GPU cloud for AI training on the market. The platform is powered with renewable energy, enabling companies to train AI models at a significantly reduced cost. BuildAi offers interruptible pricing, short term reserved capacity, and high uptime pricing options. The application focuses on optimizing infrastructure for training and fine-tuning machine learning models, not inference, and aims to decrease the impact of computing on the planet. With features like data transfer support, SSH access, and monitoring tools, BuildAi offers a comprehensive solution for ML teams.

SkillsTeq is an interactive e-learning and training platform powered by AI technology. It revolutionizes learning and training by offering interactive courses, sales and customer experience training, assessments, and feedback through a unique chat-based learning environment. The platform leverages AI to deliver personalized training tailored to company data, engaging users in dynamic conversations and immersive experiences. SkillsTeq provides efficient AI e-learning, immersive roleplays, intelligent assessments, roleplay training, sales coaching, and customer experience training, all aimed at enhancing knowledge retention and preparing users for real-world scenarios.

Aiden Solutions is an AI application that provides advanced tech support and training for modern businesses. It leverages AI technology to optimize technical support and training, offering tailored AI tools for businesses to enhance support, streamline training, and drive productivity. The platform features customizable chatbots, multi-channel integration, analytics & reporting, file management, security & compliance, and message automation. Aiden Solutions is known for its efficient, intuitive, and always available support, offering 24/7 intelligent assistance to improve customer interactions and operational efficiency. The application is designed with a user-friendly interface and powerful analytics for data-driven decisions.

Whale is an AI-powered software designed to help businesses document their standard operating procedures, policies, and internal company knowledge. It streamlines the process of onboarding, training, and growing teams by leveraging AI technology to assist in creating and organizing documentation. Whale offers features such as AI-assisted SOP and process documentation, automated training flows, a single source of truth for knowledge management, and an AI assistant named Alice to help with various tasks. The platform aims to systemize and scale businesses by providing a user-friendly interface and dedicated support services.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

The Intel Gaudi Tutorials repository contains source files for tutorials on using PyTorch and PyTorch Lightning on the Intel Gaudi AI Processor. The tutorials cater to users from beginner to advanced levels and cover various tasks such as fine-tuning models, running inference, and setting up DeepSpeed for training large language models. Users need access to an Intel Gaudi 2 Accelerator card or node, run the Intel Gaudi PyTorch Docker image, clone the tutorial repository, install Jupyterlab, and run the Jupyterlab server to follow along with the tutorials.

This repository contains code for manipulating Large Language Models (LLMs) to increase the visibility of specific content or products in search engine recommendations. By adding a Strategic Text Sequence (STS) to a product's information page, the target product's rank in the LLM's recommendation can be optimized. The code includes scripts for generating and evaluating the STS, as well as plotting the results. The tool requires NVIDIA A100 GPUs for optimization and can be run in a Conda environment.

Bugbug is a tool developed by Mozilla that leverages machine learning techniques to assist with bug and quality management, as well as other software engineering tasks like test selection and defect prediction. It provides various classifiers to suggest assignees, detect patches likely to be backed-out, classify bugs, assign product/components, distinguish between bugs and feature requests, detect bugs needing documentation, identify invalid issues, verify bugs needing QA, detect regressions, select relevant tests, track bugs, and more. Bugbug can be trained and tested using Python scripts, and it offers the ability to run model training tasks on Taskcluster. The project structure includes modules for data mining, bug/commit feature extraction, model implementations, NLP utilities, label handling, bug history playback, and GitHub issue retrieval.

NeMo Curator is a GPU-accelerated open-source framework designed for efficient large language model data curation. It provides scalable dataset preparation for tasks like foundation model pretraining, domain-adaptive pretraining, supervised fine-tuning, and parameter-efficient fine-tuning. The library leverages GPUs with Dask and RAPIDS to accelerate data curation, offering customizable and modular interfaces for pipeline expansion and model convergence. Key features include data download, text extraction, quality filtering, deduplication, downstream-task decontamination, distributed data classification, and PII redaction. NeMo Curator is suitable for curating high-quality datasets for large language model training.

Fastc is a tool focused on CPU execution, using efficient models for embedding generation and cosine similarity classification. It allows for efficient multi-classifier execution without extra overhead. Users can easily train text classifiers, export models, publish to HuggingFace, load existing models, make class predictions, use instruct templates, and launch an inference server. The tool provides an HTTP API for text classification with JSON payloads and supports multiple languages for language identification.

This repository contains code for reproducing experiments on lie detection in black-box LLMs by asking unrelated questions. It includes Q/A datasets, prompts, and fine-tuning datasets for generating lies with language models. The lie detectors rely on asking binary 'elicitation questions' to diagnose whether the model has lied. The code covers generating lies from language models, training and testing lie detectors, and generalization experiments. It requires access to GPUs and OpenAI API calls for running experiments with open-source models. Results are stored in the repository for reproducibility.

The 'judges' repository is a small library designed for using and creating LLM-as-a-Judge evaluators. It offers a curated set of LLM evaluators in a low-friction format for various use cases, backed by research. Users can use these evaluators off-the-shelf or as inspiration for building custom LLM evaluators. The library provides two types of judges: Classifiers that return boolean values and Graders that return scores on a numerical or Likert scale. Users can combine multiple judges using the 'Jury' object and evaluate input-output pairs with the '.judge()' method. Additionally, the repository includes detailed instructions on picking a model, sending data to an LLM, using classifiers, combining judges, and creating custom LLM judges with 'AutoJudge'.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

This repository focuses on test-time computing, exploring various strategies such as test-time adaptation, modifying the input, editing the representation, calibrating the output, test-time reasoning, and search strategies. It covers topics like self-supervised test-time training, in-context learning, activation steering, nearest neighbor models, reward modeling, and multimodal reasoning. The repository provides resources including papers and code for researchers and practitioners interested in enhancing the reasoning capabilities of large language models.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency. It helps users improve AI output quality through data quality, take control of their data and models, and improve efficiency by quickly iterating on the right data and models. Argilla is an open-source community-driven project that provides tools for achieving and maintaining high-quality data standards, with a focus on NLP and LLMs. It is used by AI teams from companies like the Red Cross, Loris.ai, and Prolific to improve the quality and efficiency of AI projects.

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

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

This repository is a curated list of research papers that explore the integration of Large Language Model (LLM) technology with tabular data. It aims to provide a comprehensive resource for researchers and practitioners interested in this emerging field. The repository includes papers on a wide range of topics, including table-to-text generation, table question answering, and tabular data classification. It also includes a section on related datasets and resources.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

The 'awesome-sound_event_detection' repository is a curated reading list focusing on sound event detection and Sound AI. It includes research papers covering various sub-areas such as learning formulation, network architecture, pooling functions, missing or noisy audio, data augmentation, representation learning, multi-task learning, few-shot learning, zero-shot learning, knowledge transfer, polyphonic sound event detection, loss functions, audio and visual tasks, audio captioning, audio retrieval, audio generation, and more. The repository provides a comprehensive collection of papers, datasets, and resources related to sound event detection and Sound AI, making it a valuable reference for researchers and practitioners in the field.

Expert in engaging, interactive training methods and activities.

I create tailored training manuals for various jobs and industries.

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This chatbot answers questions and provides guidance on how the Army trains to compete, fight, and win, ensuring individuals are masters of their craft.

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Guides technical skill development within an organization.

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Provides emergency training assistance with a focus on safety and clear guidelines.

Guides companies to adhere to regulatory standards through training.

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Train to become a superhero or a supervillain. Master your powers, make pivotal choices. Each decision you make in this action-packed game not only shapes your abilities but also your moral alignment in the battle between good and evil. Another GPT Simulator by Dave Lalande

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