Best AI tools for< Conduct Training >

SecureLabs is an AI-powered platform that offers comprehensive security, privacy, and compliance management solutions for businesses. The platform integrates cutting-edge AI technology to provide continuous monitoring, incident response, risk mitigation, and compliance services. SecureLabs helps organizations stay current and compliant with major regulations such as HIPAA, GDPR, CCPA, and more. By leveraging AI agents, SecureLabs offers autonomous aids that tirelessly safeguard accounts, data, and compliance down to the account level. The platform aims to help businesses combat threats in an era of talent shortages while keeping costs down.

Matrix AI Consulting Services is an expert AI consultancy firm based in New Zealand, offering bespoke AI consulting services to empower businesses and government entities to embrace responsible AI. With over 24 years of experience in transformative technology, the consultancy provides services ranging from AI business strategy development to seamless integration, change management, training workshops, and governance frameworks. Matrix AI Consulting Services aims to help organizations unlock the full potential of AI, enhance productivity, streamline operations, and gain a competitive edge through the strategic implementation of AI technologies.

VideoAsk by Typeform is an interactive video platform that helps streamline conversations and build business relationships at scale. It offers features such as asynchronous interviews, easy scheduling, tagging, gathering contact info, capturing leads, research and feedback, training, customer support, and more. Users can create interactive video forms, conduct async interviews, and engage with their audience through AI-powered video chatbots. The platform is user-friendly, code-free, and integrates with over 1,500 applications through Zapier.

Accessibility Desk is an accredited research and training agency specializing in digital accessibility and the WCAG. They provide accessibility audits for websites and apps based on the WCAG-EM standard. The agency is committed to creating a digital world that is accessible to all by offering knowledge sharing, specific advice, and assistance to organizations in improving their accessibility.

Sereda.ai is an AI-powered platform designed to unleash a team's potential by bringing together all documents and knowledge into one place, conducting employee surveys and satisfaction ratings, facilitating performance reviews, and providing solutions to increase team productivity. The platform offers features such as a knowledge base, employee surveys, performance review tools, interactive learning courses, and an AI assistant for instant answers. Sereda.ai aims to streamline HR processes, improve employee training and evaluation, and enhance overall team productivity.

Paxton is an advanced AI platform designed to support legal and business professionals by automating and enhancing tasks such as contract review, legal drafting, and document analysis. Utilizing state-of-the-art artificial intelligence, including proprietary Legal Language Models, Paxton streamlines complex legal processes, improves accuracy, and drives efficiency across a wide range of applications.

Seedbox is an AI-based solution provider that crafts custom AI solutions to address specific challenges and boost businesses. They offer tailored AI solutions, state-of-the-art corporate innovation methods, high-performance computing infrastructure, secure and cost-efficient AI services, and maintain the highest security standards. Seedbox's expertise covers in-depth AI development, UX/UI design, and full-stack development, aiming to increase efficiency and create sustainable competitive advantages for their clients.

Sessions is a cloud-based video conferencing and webinar platform that offers a range of features to help businesses run successful online meetings and events. With Sessions, users can create interactive agendas, share screens, record meetings, and host webinars with up to 1000 participants. Sessions also integrates with a variety of third-party tools, including Google Drive, Dropbox, and Slack, making it easy to collaborate with colleagues and share files. Additionally, Sessions offers a number of AI-powered features, such as automatic transcription and translation, to help users get the most out of their meetings.

Blockchain Council is a private de-facto organization of experts and enthusiasts championing advancements in Blockchain, AI, and Web3 Technologies. To enhance our community’s learning, we conduct frequent webinars, training sessions, seminars, and events and offer certification programs.

The Future of Privacy Forum (FPF) is an AI tool that serves as a catalyst for privacy leadership and scholarship, advancing principled data practices in support of emerging technologies. It provides resources, training sessions, and guidance on AI-related topics, online advertising, youth privacy legislation, and more. FPF brings together industry, academics, civil society, policymakers, and other stakeholders to explore challenges posed by emerging technologies and develop privacy protections, ethical norms, and best practices.

HEROZ is a Japanese company that specializes in AI technology. They offer a variety of AI-related services, including AI/DX support, AI consulting, and AI development. HEROZ's mission is to use AI to solve various problems in different industries and create a better future.

Ivie is an AI-powered user research tool that automates the collection and analysis of qualitative user insights to help product teams build better products. It offers features such as AI-powered insights, processed user insights, in-depth analysis, automated follow-up questions, multilingual support, and more. Ivie provides advantages like human-like conversations, scalable surveys, customizable AI researchers, quick research setup, and multiple question types. However, it has disadvantages such as limited customization options, potential language barriers, and the need for user training. The frequently asked questions cover topics like supported research types, data security, multilingual research, and research findings presentation. Ivie is suitable for jobs related to user research, product development, customer satisfaction analysis, market research, and concept testing. The application can be used for tasks like conducting customer interviews, analyzing user feedback, creating surveys, synthesizing research findings, and building user personas.

CoTech.ai is an Augmented Reality platform for automotive repair and maintenance, empowering service technicians with AR & AI-enabled solutions. The platform provides operational efficiency in automotive maintenance and inspections by offering direct access to expertise through AR-enabled instructions. It digitizes service operations, accelerates maintenance inspections, reduces training costs, and brings expert knowledge to technicians' fingertips. CoTech.ai revolutionizes maintenance with AI and AR, minimizing errors, maximizing performance, and enhancing the overall service experience.

Carnegie Mellon University's School of Computer Science (SCS) is a world-renowned institution dedicated to advancing the field of computer science and training the next generation of innovators. With a rich history of groundbreaking research and a commitment to excellence in education, SCS offers a comprehensive range of programs, from undergraduate to doctoral levels, covering various specializations within computer science. The school's faculty are leading experts in their respective fields, actively engaged in cutting-edge research and collaborating with industry partners to solve real-world problems. SCS graduates are highly sought after by top companies and organizations worldwide, recognized for their exceptional skills and ability to drive innovation.

Chat Thing is a platform that allows users to create custom AI chatbots trained on their own data. These chatbots can be used for a variety of purposes, such as customer support, lead generation, research, and more. Chat Thing provides a variety of features to make it easy to create and manage chatbots, including a user-friendly interface, powerful training tools, and advanced analytics. With Chat Thing, businesses can save time and money by automating their customer interactions and providing personalized support to their customers.

LearnWorlds is an AI-powered Learning Management System (LMS) designed to help course creators build and sell online courses. It offers a wide range of features such as flexible course creation, AI assistant, interactive video, live sessions, assessment builder, survey builder, website builder, mobile app builder, pop-up builder, custom user roles, analytics & reports, white-label website, marketing tools, SCORM compatibility, checkout & payments, bundles & subscriptions, affiliate programs, and integrations. The platform caters to various industries and provides solutions for customer training, enterprise LMS, non-profit organizations, creators, coaching, fitness, finance, health, and employee training. LearnWorlds aims to provide engaging and effective training experiences through interactive videos, ebooks, assessments, and social-first learning environments. It also offers tools for building high-converting websites, profitable marketing funnels, white-label course platforms, and mobile apps. The platform is known for its versatility, ease of use, and extensive integrations with marketing tools.

The National Cancer Institute's Center for Biomedical Informatics and Information Technology (CBIIT) provides a comprehensive suite of tools, resources, and training to support cancer data science research. These resources include data repositories, analytical tools, data standards, and training materials. CBIIT also develops and maintains the NCI Thesaurus, a comprehensive vocabulary of cancer-related terms, and the Cancer Data Standards Registry and Repository (caDSR), a repository of cancer data standards. CBIIT's mission is to accelerate the pace of cancer research by providing researchers with the tools and resources they need to access, analyze, and share cancer data.

Thomson Reuters is a leading provider of business information services. The company provides a wide range of products and services to professionals in the legal, tax, accounting, and risk management industries. Thomson Reuters' products and services include news and information, research and analysis, software and technology, and education and training. The company has a global presence with operations in over 100 countries.

Rayyan is an intelligent systematic review tool trusted by over 500,000 researchers worldwide. It helps users organize, manage, and accelerate collaborative systematic literature reviews. Rayyan empowers users to work remotely and collaborate with distributed research teams, offering membership packages with onboarding, training, and priority support. The tool is designed to understand language, learn from user decisions, and facilitate quick navigation through systematic reviews. Rayyan also provides solutions for organizations and businesses to streamline research processes and save valuable researcher time.

Questel is a world leader providing end-to-end, AI-enabled and integrated solutions for Intellectual Property and Innovation Management. The platform offers a range of solutions including Patent, Trademark, Innovation, Legal Operations, and Localization services. Questel's software and services are designed to streamline IP strategy, enhance corporate training programs, and provide valuable content to support users in managing their intellectual assets effectively.

Eagle is a family of Vision-Centric High-Resolution Multimodal LLMs that enhance multimodal LLM perception using a mix of vision encoders and various input resolutions. The model features a channel-concatenation-based fusion for vision experts with different architectures and knowledge, supporting up to over 1K input resolution. It excels in resolution-sensitive tasks like optical character recognition and document understanding.

SeaLLMs are a family of language models optimized for Southeast Asian (SEA) languages. They were pre-trained from Llama-2, on a tailored publicly-available dataset, which comprises texts in Vietnamese 🇻🇳, Indonesian 🇮🇩, Thai 🇹🇭, Malay 🇲🇾, Khmer🇰🇭, Lao🇱🇦, Tagalog🇵🇭 and Burmese🇲🇲. The SeaLLM-chat underwent supervised finetuning (SFT) and specialized self-preferencing DPO using a mix of public instruction data and a small number of queries used by SEA language native speakers in natural settings, which **adapt to the local cultural norms, customs, styles and laws in these areas**. SeaLLM-13b models exhibit superior performance across a wide spectrum of linguistic tasks and assistant-style instruction-following capabilities relative to comparable open-source models. Moreover, they outperform **ChatGPT-3.5** in non-Latin languages, such as Thai, Khmer, Lao, and Burmese.

LLM-Dojo is an open-source platform for learning and practicing large models, providing a framework for building custom large model training processes, implementing various tricks and principles in the llm_tricks module, and mainstream model chat templates. The project includes an open-source large model training framework, detailed explanations and usage of the latest LLM tricks, and a collection of mainstream model chat templates. The term 'Dojo' symbolizes a place dedicated to learning and practice, borrowing its meaning from martial arts training.

This repository contains code for the paper 'Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models'. It focuses on fine-tuning CLIP in an unsupervised manner to enhance its robustness against visual adversarial attacks. By replacing the vision encoder of large vision-language models with the fine-tuned CLIP models, it achieves state-of-the-art adversarial robustness on various vision-language tasks. The repository provides adversarially fine-tuned ViT-L/14 CLIP models and offers insights into zero-shot classification settings and clean accuracy improvements.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

LLM Finetuning toolkit is a config-based CLI tool for launching a series of LLM fine-tuning experiments on your data and gathering their results. It allows users to control all elements of a typical experimentation pipeline - prompts, open-source LLMs, optimization strategy, and LLM testing - through a single YAML configuration file. The toolkit supports basic, intermediate, and advanced usage scenarios, enabling users to run custom experiments, conduct ablation studies, and automate fine-tuning workflows. It provides features for data ingestion, model definition, training, inference, quality assurance, and artifact outputs, making it a comprehensive tool for fine-tuning large language models.

Vision-LLM-Alignment is a repository focused on implementing alignment training for visual large language models (LLMs), including SFT training, reward model training, and PPO/DPO training. It supports various model architectures and provides datasets for training. The repository also offers benchmark results and installation instructions for users.

AnglE is a library for training state-of-the-art BERT/LLM-based sentence embeddings with just a few lines of code. It also serves as a general sentence embedding inference framework, allowing for inferring a variety of transformer-based sentence embeddings. The library supports various loss functions such as AnglE loss, Contrastive loss, CoSENT loss, and Espresso loss. It provides backbones like BERT-based models, LLM-based models, and Bi-directional LLM-based models for training on single or multi-GPU setups. AnglE has achieved significant performance on various benchmarks and offers official pretrained models for both BERT-based and LLM-based models.

PARAM Benchmarks is a repository of communication and compute micro-benchmarks as well as full workloads for evaluating training and inference platforms. It complements commonly used benchmarks by focusing on AI training with PyTorch based collective benchmarks, GEMM, embedding lookup, linear layer, and DLRM communication patterns. The tool bridges the gap between stand-alone C++ benchmarks and PyTorch/Tensorflow based application benchmarks, providing deep insights into system architecture and framework-level overheads.

Liger Kernel is a collection of Triton kernels designed for LLM training, increasing training throughput by 20% and reducing memory usage by 60%. It includes Hugging Face Compatible modules like RMSNorm, RoPE, SwiGLU, CrossEntropy, and FusedLinearCrossEntropy. The tool works with Flash Attention, PyTorch FSDP, and Microsoft DeepSpeed, aiming to enhance model efficiency and performance for researchers, ML practitioners, and curious novices.

This repository contains the implementation of Self-Play of Adversarial Language Game (SPAG) as described in the paper 'Self-playing Adversarial Language Game Enhances LLM Reasoning'. The SPAG involves training Language Models (LLMs) in an adversarial language game called Adversarial Taboo. The repository provides tools for imitation learning, self-play episode collection, and reinforcement learning on game episodes to enhance LLM reasoning abilities. The process involves training models using GPUs, launching imitation learning, conducting self-play episodes, assigning rewards based on outcomes, and learning the SPAG model through reinforcement learning. Continuous improvements on reasoning benchmarks can be observed by repeating the episode-collection and SPAG-learning processes.

SLAM-LLM is a deep learning toolkit for training custom multimodal large language models (MLLM) focusing on speech, language, audio, and music processing. It provides detailed recipes for training and high-performance checkpoints for inference. The toolkit supports various tasks such as automatic speech recognition (ASR), text-to-speech (TTS), visual speech recognition (VSR), automated audio captioning (AAC), spatial audio understanding, and music caption (MC). Users can easily extend to new models and tasks, utilize mixed precision training for faster training with less GPU memory, and perform multi-GPU training with data and model parallelism. Configuration is flexible based on Hydra and dataclass, allowing different configuration methods.

Trace is a new AutoDiff-like tool for training AI systems end-to-end with general feedback. It generalizes the back-propagation algorithm by capturing and propagating an AI system's execution trace. Implemented as a PyTorch-like Python library, users can write Python code directly and use Trace primitives to optimize certain parts, similar to training neural networks.

Fira is a memory-efficient training framework for Large Language Models (LLMs) that enables full-rank training under low-rank constraint. It introduces a method for training with full-rank gradients of full-rank weights, achieved with just two lines of equations. The framework includes pre-training and fine-tuning functionalities, packaged as a Python library for easy use. Fira utilizes Adam optimizer by default and provides options for weight decay. It supports pre-training LLaMA models on the C4 dataset and fine-tuning LLaMA-7B models on commonsense reasoning tasks.

FedML is a unified and scalable machine learning library for running training and deployment anywhere at any scale. It is highly integrated with FEDML Nexus AI, a next-gen cloud service for LLMs & Generative AI. FEDML Nexus AI provides holistic support of three interconnected AI infrastructure layers: user-friendly MLOps, a well-managed scheduler, and high-performance ML libraries for running any AI jobs across GPU Clouds.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

HackBot is an AI-powered cybersecurity chatbot designed to provide accurate answers to cybersecurity-related queries, conduct code analysis, and scan analysis. It utilizes the Meta-LLama2 AI model through the 'LlamaCpp' library to respond coherently. The chatbot offers features like local AI/Runpod deployment support, cybersecurity chat assistance, interactive interface, clear output presentation, static code analysis, and vulnerability analysis. Users can interact with HackBot through a command-line interface and utilize it for various cybersecurity tasks.

SLAM-LLM is a deep learning toolkit designed for researchers and developers to train custom multimodal large language models (MLLM) focusing on speech, language, audio, and music processing. It provides detailed recipes for training and high-performance checkpoints for inference. The toolkit supports tasks such as automatic speech recognition (ASR), text-to-speech (TTS), visual speech recognition (VSR), automated audio captioning (AAC), spatial audio understanding, and music caption (MC). SLAM-LLM features easy extension to new models and tasks, mixed precision training for faster training with less GPU memory, multi-GPU training with data and model parallelism, and flexible configuration based on Hydra and dataclass.

LangTest is a comprehensive evaluation library for custom LLM and NLP models. It aims to deliver safe and effective language models by providing tools to test model quality, augment training data, and support popular NLP frameworks. LangTest comes with benchmark datasets to challenge and enhance language models, ensuring peak performance in various linguistic tasks. The tool offers more than 60 distinct types of tests with just one line of code, covering aspects like robustness, bias, representation, fairness, and accuracy. It supports testing LLMS for question answering, toxicity, clinical tests, legal support, factuality, sycophancy, and summarization.

ReproModel is an open-source toolbox designed to boost AI research efficiency by enabling researchers to reproduce, compare, train, and test AI models faster. It provides standardized models, dataloaders, and processing procedures, allowing researchers to focus on new datasets and model development. With a no-code solution, users can access benchmark and SOTA models and datasets, utilize training visualizations, extract code for publication, and leverage an LLM-powered automated methodology description writer. The toolbox helps researchers modularize development, compare pipeline performance reproducibly, and reduce time for model development, computation, and writing. Future versions aim to facilitate building upon state-of-the-art research by loading previously published study IDs with verified code, experiments, and results stored in the system.

CMMC Coach: Guiding through CMMC processes with tailored strategies, interactive training, and regulatory compliance. https://www.sikich.com/technology/contact-us/ 877.403.5227 | [email protected]

Expert in IATA DGR for Transportation of Dangerous Goods.

DignityAI: The Ethical Intelligence GPT is an advanced AI model designed to prioritize human life and dignity, providing ethically-guided, intelligent responses for complex decision-making scenarios.

Adaptive, informative advisor on disaster management.

Advises on employee relations to foster positive workplace environment.

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

Specializes in Discharge Planning and Utilization Review training for Nurse Case Managers.

Informative assistant for safety and emergency training.

This GPT reviews business plans and pitch decks—Please note: This GPT does NOT share information for training in GPT models. It is responsible for assigning scores and providing feedback based on key criteria such as team background, financial projections, as well as conducting sentiment analysis.

优化

HR expert with 20+ years of experience, responding in any addressed language.

Human Resources Expert

Expert HR and Business Assistance.

Especialista em Educação Física e análise de dados

Oversees company compliance, managing risk and audits, with a focus on staying current with regulations and software.

Expert en législation de la cybersécurité

Asesor sobre la legislación española de protección de datos

Expert in crafting cybersecurity announcements

Guides strategic HR decisions and supports business objectives.

Guides HR managers in employee relations, policy, and performance management.