Best AI tools for< Prepare Models >
20 - AI tool Sites
Labellerr
Labellerr is a data labeling software that helps AI teams prepare high-quality labels 99 times faster for Vision, NLP, and LLM models. The platform offers automated annotation, advanced analytics, and smart QA to process millions of images and thousands of hours of videos in just a few weeks. Labellerr's powerful analytics provides full control over output quality and project management, making it a valuable tool for AI labeling partners.
Tellius
Tellius is an AI Augmented Analytics Software and Decision Intelligence platform that empowers users to get faster insights from data, break silos between Business Intelligence (BI) and AI, and accelerate complex data analysis with AI-driven automation. The platform offers guided insights, data preparation, natural language search, automated machine learning, and self-service analytics & reporting. Tellius is loved by analytics and business teams for providing instant ad hoc answers, simplifying complex analysis, and surfacing hidden key drivers and anomalies through best-in-class automated insights.
PitchBob
PitchBob is an AI-powered platform that helps entrepreneurs and startups create professional pitch decks, business plans, and other essential documents. It offers a range of features, including AI-generated content, customizable templates, and expert guidance, to help users present their ideas effectively to investors and other stakeholders. PitchBob also provides access to a network of investors, accelerators, and other resources to support startups in their growth journey.
Appen
Appen is a leading provider of high-quality data for training AI models. The company's end-to-end platform, flexible services, and deep expertise ensure the delivery of high-quality, diverse data that is crucial for building foundation models and enterprise-ready AI applications. Appen has been providing high-quality datasets that power the world's leading AI models for decades. The company's services enable it to prepare data at scale, meeting the demands of even the most ambitious AI projects. Appen also provides enterprises with software to collect, curate, fine-tune, and monitor traditionally human-driven tasks, creating massive efficiencies through a trustworthy, traceable process.
O'Reilly Media
O'Reilly Media is an AI-powered platform offering technology and business training for individuals, businesses, government, and higher education institutions. With over 5,000 companies relying on their digital courses, O'Reilly provides resources to upskill teams in tools and technologies driving business outcomes. The platform features courses, certifications, interactive learning, live events, and insights reporting. O'Reilly leverages generative AI tools and large language models to help employees stay ahead in their tech careers. The platform also offers diversity scholarships and awards to promote inclusivity and recognize excellence in technical learning. With a history of over 40 years, O'Reilly has been sharing knowledge through books, tech conferences, and online learning content.
CovrLtr
CovrLtr is an AI-powered tool designed to help users create tailored cover letters and prepare for job interviews. With the latest AI models, it generates personalized cover letters and interview questions + answers, saving users time and helping them stand out in their job applications. The platform offers expertise in web design & development, digital marketing, e-commerce, and branding & creative services. CovrLtr users have successfully applied to top companies worldwide, and the tool is dedicated to customer satisfaction.
Skillflow
Skillflow is an AI platform built for learning. Unlike ChatGPT, Skillflow only requires a single prompt to start exploring a topic. Additionally, Skillflow is structured like a video game to make the whole process a lot more fun! Skillflow uses the most advanced models to generate course content, games, lesson personalization and more. Read the content and pass the tests to continue into the next module.
AIApply
AIApply is a suite of AI-powered job search tools designed to help job seekers land their dream jobs faster and easier. The platform offers a range of services, including a job application kit, AI resume builder, AI cover letter generator, AI job interview preparation, and more. AIApply's tools are powered by advanced AI models that have been trained on the most successful cover letters and resumes that have landed candidates high-paying jobs. The platform is easy to use and affordable, making it a great option for job seekers of all levels.
Ask AI Lawyer
Ask AI Lawyer is a free online legal information service that utilizes advanced artificial intelligence technology to provide answers to legal questions within 5 minutes. It is powered by OpenAI's GPT models and offers general legal information on various topics such as traffic laws, business start-ups, tax law, family law, business contracts, employment law, landlord/tenant matters, wills and trusts, and real estate law. The AI analyzes user questions, cross-references them with a database of legal information, and provides comprehensive answers. Answers are published publicly under the "Latest Questions" section for everyone to view. The service is designed to provide quick and easy access to legal information but should not be considered as a substitute for professional legal advice.
Link
Link is a Decision Intelligence platform that offers Agile Applied AI and Machine Learning solutions. The platform provides workshops on AI/ML/DI, Decision Intelligence Solutions, and Assured Agile AI Resources. Users can access live model galleries, blogs, news, and learn about Decision Intelligence Models. Link aims to help business leaders prepare for the AI paradigm shift by offering tools and resources for understanding and applying artificial intelligence effectively.
InterviewPlus
InterviewPlus is an AI-powered platform designed to help users prepare for interviews by offering mock interviews, questions, and answers tailored to various professions. Users can create customized interviews, receive interview-specific tips, and access useful information to enhance their interview performance. The platform covers a wide range of professions, including Information Technology, Business & System Analyst, Database Administration, Network Administration, Product & Project Management, Testing & Quality Assurance, Cyber Security & Compliance, Management & Leadership, and many others. InterviewPlus also provides real-time feedback from AI models, allowing users to practice and refine their interview skills effectively.
BoodleBox
BoodleBox is a platform for group collaboration with generative AI (GenAI) tools like ChatGPT, GPT-4, and hundreds of others. It allows teams to connect multiple bots, people, and sources of knowledge in one chat to keep discussions engaging, productive, and educational. BoodleBox also provides access to over 800 specialized AI bots and offers easy team management and billing to simplify access and usage across departments, teams, and organizations.
AI Debate Competitions
Engage in thought-provoking debates with AI Debate Competitions. Enter the arena of ideas, where every perspective matters. Prepare to challenge and be challenged as you delve into discussions powered by advanced AI technology. Choose from a variety of debate models and languages to tailor your experience. With AI Debate Competitions, you can hone your critical thinking skills, expand your knowledge, and connect with fellow debaters from around the globe.
Alteryx
Alteryx offers a leading AI Platform for Enterprise Analytics that delivers actionable insights by automating analytics. The platform combines the power of data preparation, analytics, and machine learning to help businesses make better decisions faster. With Alteryx, businesses can connect to a wide variety of data sources, prepare and clean data, perform advanced analytics, and build and deploy machine learning models. The platform is designed to be easy to use, even for non-technical users, and it can be deployed on-premises or in the cloud.
ZDNet
ZDNet is a technology news website that provides news, reviews, and advice on the latest innovations in the tech industry. It covers a wide range of topics, including artificial intelligence, cloud computing, digital transformation, energy, robotics, sustainability, transportation, and work life. ZDNet's mission is to help readers understand the latest trends and developments in the tech industry and to make informed decisions about how to use technology to improve their lives and businesses.
TalkPal
TalkPal is an AI-powered language tutor that uses GPT technology to provide immersive and interactive language learning experiences. It offers real-time feedback, dynamic active listening exercises, and personalized learning plans to help users improve their listening, speaking, reading, and writing skills. TalkPal is available in over 57 languages and offers a variety of features to enhance language learning, including role-plays, debates, and character interactions.
Hi Talk
Hi Talk is a GPT-powered AI for language learning. Speak with AI and chat on various topics, either by writing or speaking, while receiving messages with a realistic voice. Available 24/7 — available in 30 languages
Beyz AI
Beyz AI is an AI Interview Assistant application that provides real-time answers during interviews. It offers features such as auto-translate, tailored interview prep modes, and universal meeting compatibility. The application aims to help users improve their interview performance and ensure success by leveraging AI technology. With a focus on enhancing interview skills and providing instant, tailored help, Beyz AI is designed to support users throughout the interview process.
Caktus AI
Caktus AI is an AI assistant designed to help students with their studies. It can answer questions, provide explanations, and generate content. Caktus AI is powered by a large language model, which allows it to understand and respond to complex questions in a natural way. Caktus AI is still under development, but it has already shown great promise as a tool for helping students learn.
OmniSets
OmniSets is an ultimate flashcard tool that helps students learn efficiently. It combines advanced machine learning algorithms and incorporates them throughout the platform. OmniSets offers various modes, from spaced repetition to matching games and AI tools, to make studying easier. Users can create and organize study sets, search from over 250k+ public study sets, and take advantage of the spell tool to write terms and definitions. OmniSets is a community-driven platform that values user feedback and is constantly updating and improving its features.
20 - Open Source AI Tools
xFasterTransformer
xFasterTransformer is an optimized solution for Large Language Models (LLMs) on the X86 platform, providing high performance and scalability for inference on mainstream LLM models. It offers C++ and Python APIs for easy integration, along with example codes and benchmark scripts. Users can prepare models in a different format, convert them, and use the APIs for tasks like encoding input prompts, generating token ids, and serving inference requests. The tool supports various data types and models, and can run in single or multi-rank modes using MPI. A web demo based on Gradio is available for popular LLM models like ChatGLM and Llama2. Benchmark scripts help evaluate model inference performance quickly, and MLServer enables serving with REST and gRPC interfaces.
llmc
llmc is an off-the-shell tool designed for compressing LLM, leveraging state-of-the-art compression algorithms to enhance efficiency and reduce model size without compromising performance. It provides users with the ability to quantize LLMs, choose from various compression algorithms, export transformed models for further optimization, and directly infer compressed models with a shallow memory footprint. The tool supports a range of model types and quantization algorithms, with ongoing development to include pruning techniques. Users can design their configurations for quantization and evaluation, with documentation and examples planned for future updates. llmc is a valuable resource for researchers working on post-training quantization of large language models.
MockingBird
MockingBird is a toolbox designed for Mandarin speech synthesis using PyTorch. It supports multiple datasets such as aidatatang_200zh, magicdata, aishell3, and data_aishell. The toolbox can run on Windows, Linux, and M1 MacOS, providing easy and effective speech synthesis with pretrained encoder/vocoder models. It is webserver ready for remote calling. Users can train their own models or use existing ones for the encoder, synthesizer, and vocoder. The toolbox offers a demo video and detailed setup instructions for installation and model training.
onnxruntime-server
ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference. It aims to offer simple, high-performance ML inference and a good developer experience. Users can provide inference APIs for ONNX models without writing additional code by placing the models in the directory structure. Each session can choose between CPU or CUDA, analyze input/output, and provide Swagger API documentation for easy testing. Ready-to-run Docker images are available, making it convenient to deploy the server.
OpenLLM
OpenLLM is a platform that helps developers run any open-source Large Language Models (LLMs) as OpenAI-compatible API endpoints, locally and in the cloud. It supports a wide range of LLMs, provides state-of-the-art serving and inference performance, and simplifies cloud deployment via BentoML. Users can fine-tune, serve, deploy, and monitor any LLMs with ease using OpenLLM. The platform also supports various quantization techniques, serving fine-tuning layers, and multiple runtime implementations. OpenLLM seamlessly integrates with other tools like OpenAI Compatible Endpoints, LlamaIndex, LangChain, and Transformers Agents. It offers deployment options through Docker containers, BentoCloud, and provides a community for collaboration and contributions.
AiOS
AiOS is a tool for human pose and shape estimation, performing human localization and SMPL-X estimation in a progressive manner. It consists of body localization, body refinement, and whole-body refinement stages. Users can download datasets for evaluation, SMPL-X body models, and AiOS checkpoint. Installation involves creating a conda virtual environment, installing PyTorch, torchvision, Pytorch3D, MMCV, and other dependencies. Inference requires placing the video for inference and pretrained models in specific directories. Test results are provided for NMVE, NMJE, MVE, and MPJPE on datasets like BEDLAM and AGORA. Users can run scripts for AGORA validation, AGORA test leaderboard, and BEDLAM leaderboard. The tool acknowledges codes from MMHuman3D, ED-Pose, and SMPLer-X.
RWKV-LM
RWKV is an RNN with Transformer-level LLM performance, which can also be directly trained like a GPT transformer (parallelizable). And it's 100% attention-free. You only need the hidden state at position t to compute the state at position t+1. You can use the "GPT" mode to quickly compute the hidden state for the "RNN" mode. So it's combining the best of RNN and transformer - **great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding** (using the final hidden state).
TempCompass
TempCompass is a benchmark designed to evaluate the temporal perception ability of Video LLMs. It encompasses a diverse set of temporal aspects and task formats to comprehensively assess the capability of Video LLMs in understanding videos. The benchmark includes conflicting videos to prevent models from relying on single-frame bias and language priors. Users can clone the repository, install required packages, prepare data, run inference using examples like Video-LLaVA and Gemini, and evaluate the performance of their models across different tasks such as Multi-Choice QA, Yes/No QA, Caption Matching, and Caption Generation.
ML-Bench
ML-Bench is a tool designed to evaluate large language models and agents for machine learning tasks on repository-level code. It provides functionalities for data preparation, environment setup, usage, API calling, open source model fine-tuning, and inference. Users can clone the repository, load datasets, run ML-LLM-Bench, prepare data, fine-tune models, and perform inference tasks. The tool aims to facilitate the evaluation of language models and agents in the context of machine learning tasks on code repositories.
LLMs-World-Models-for-Planning
This repository provides a Python implementation of a method that leverages pre-trained large language models to construct and utilize world models for model-based task planning. It includes scripts to generate domain models using natural language descriptions, correct domain models based on feedback, and support plan generation for tasks in different domains. The code has been refactored for better readability and includes tools for validating PDDL syntax and handling corrective feedback.
models
The Intel® AI Reference Models repository contains links to pre-trained models, sample scripts, best practices, and tutorials for popular open-source machine learning models optimized by Intel to run on Intel® Xeon® Scalable processors and Intel® Data Center GPUs. It aims to replicate the best-known performance of target model/dataset combinations in optimally-configured hardware environments. The repository will be deprecated upon the publication of v3.2.0 and will no longer be maintained or published.
LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing
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.
ai-reference-models
The Intel® AI Reference Models repository contains links to pre-trained models, sample scripts, best practices, and tutorials for popular open-source machine learning models optimized by Intel to run on Intel® Xeon® Scalable processors and Intel® Data Center GPUs. The purpose is to quickly replicate complete software environments showcasing the AI capabilities of Intel platforms. It includes optimizations for popular deep learning frameworks like TensorFlow and PyTorch, with additional plugins/extensions for improved performance. The repository is licensed under Apache License Version 2.0.
SimpleAICV_pytorch_training_examples
SimpleAICV_pytorch_training_examples is a repository that provides simple training and testing examples for various computer vision tasks such as image classification, object detection, semantic segmentation, instance segmentation, knowledge distillation, contrastive learning, masked image modeling, OCR text detection, OCR text recognition, human matting, salient object detection, interactive segmentation, image inpainting, and diffusion model tasks. The repository includes support for multiple datasets and networks, along with instructions on how to prepare datasets, train and test models, and use gradio demos. It also offers pretrained models and experiment records for download from huggingface or Baidu-Netdisk. The repository requires specific environments and package installations to run effectively.
pint-benchmark
The Lakera PINT Benchmark provides a neutral evaluation method for prompt injection detection systems, offering a dataset of English inputs with prompt injections, jailbreaks, benign inputs, user-agent chats, and public document excerpts. The dataset is designed to be challenging and representative, with plans for future enhancements. The benchmark aims to be unbiased and accurate, welcoming contributions to improve prompt injection detection. Users can evaluate prompt injection detection systems using the provided Jupyter Notebook. The dataset structure is specified in YAML format, allowing users to prepare their datasets for benchmarking. Evaluation examples and resources are provided to assist users in evaluating prompt injection detection models and tools.
sycamore
Sycamore is a conversational search and analytics platform for complex unstructured data, such as documents, presentations, transcripts, embedded tables, and internal knowledge repositories. It retrieves and synthesizes high-quality answers through bringing AI to data preparation, indexing, and retrieval. Sycamore makes it easy to prepare unstructured data for search and analytics, providing a toolkit for data cleaning, information extraction, enrichment, summarization, and generation of vector embeddings that encapsulate the semantics of data. Sycamore uses your choice of generative AI models to make these operations simple and effective, and it enables quick experimentation and iteration. Additionally, Sycamore uses OpenSearch for indexing, enabling hybrid (vector + keyword) search, retrieval-augmented generation (RAG) pipelining, filtering, analytical functions, conversational memory, and other features to improve information retrieval.
llm-leaderboard
Nejumi Leaderboard 3 is a comprehensive evaluation platform for large language models, assessing general language capabilities and alignment aspects. The evaluation framework includes metrics for language processing, translation, summarization, information extraction, reasoning, mathematical reasoning, entity extraction, knowledge/question answering, English, semantic analysis, syntactic analysis, alignment, ethics/moral, toxicity, bias, truthfulness, and robustness. The repository provides an implementation guide for environment setup, dataset preparation, configuration, model configurations, and chat template creation. Users can run evaluation processes using specified configuration files and log results to the Weights & Biases project.
Groma
Groma is a grounded multimodal assistant that excels in region understanding and visual grounding. It can process user-defined region inputs and generate contextually grounded long-form responses. The tool presents a unique paradigm for multimodal large language models, focusing on visual tokenization for localization. Groma achieves state-of-the-art performance in referring expression comprehension benchmarks. The tool provides pretrained model weights and instructions for data preparation, training, inference, and evaluation. Users can customize training by starting from intermediate checkpoints. Groma is designed to handle tasks related to detection pretraining, alignment pretraining, instruction finetuning, instruction following, and more.
octopus-v4
The Octopus-v4 project aims to build the world's largest graph of language models, integrating specialized models and training Octopus models to connect nodes efficiently. The project focuses on identifying, training, and connecting specialized models. The repository includes scripts for running the Octopus v4 model, methods for managing the graph, training code for specialized models, and inference code. Environment setup instructions are provided for Linux with NVIDIA GPU. The Octopus v4 model helps users find suitable models for tasks and reformats queries for effective processing. The project leverages Language Large Models for various domains and provides benchmark results. Users are encouraged to train and add specialized models following recommended procedures.
LL3DA
LL3DA is a Large Language 3D Assistant that responds to both visual and textual interactions within complex 3D environments. It aims to help Large Multimodal Models (LMM) comprehend, reason, and plan in diverse 3D scenes by directly taking point cloud input and responding to textual instructions and visual prompts. LL3DA achieves remarkable results in 3D Dense Captioning and 3D Question Answering, surpassing various 3D vision-language models. The code is fully released, allowing users to train customized models and work with pre-trained weights. The tool supports training with different LLM backends and provides scripts for tuning and evaluating models on various tasks.
20 - OpenAI Gpts
FutureScope
A channel for learning about Foresighting, including models, processes, and approaches.
Corporate Finance Advisor
Guides financial decisions by monitoring and enforcing policies and procedures.
a-modest-proposal-by-jonathan-swift
A Satirical Masterpiece: 'A Modest Proposal' by Jonathan Swift - An Insight into 18th Century Ireland
Sofia
Sofia, assistente jurídica com capacidade de pesquisa legal e acesso a modelos de documentos.
Star Maker
All-encompassing guide for aspiring entertainers, covering creative and practical aspects.
Commercial Audition Coach
A specialized coach for actors auditioning for commercials, offering tailored advice and feedback.
Prepare.bot
AI for support in disasters, health, and mental well-being, keeping methods confidential.
Oracle of TED
The Oracle of TED uses the top 100 ted talks from 2006-2021 to help you prepare your next presentation.
First Call Preparation
Tell me your company and customer and I'll prepare your first call with them!
Fundraising Advisor
I help prepare investor meetings and questions for the next fundraising round
Solution to Any Problem
I will help you prepare and deal with any crisis now and in the future
Conversation Coach
Helps to prepare for a difficult conversation with emotional intelligence and clarity.
Actor Audition Coach
I analyze audition sides to help actors prepare for in-person and self-taped auditions for TV and Film
日本災害予防ガイド(Japan Disaster Prevention Guide)
日本での災害に備える物や避難場所を教えます(I will teach you what to prepare for disasters in Japan and where to take refuge.)
Subtitle Proofreader
For Proofreading the Auto-Generated YouTube subtitles. To prepare for translation.