Best AI tools for< Check Model Efficiency >

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Namique is an AI-powered name generator that helps businesses create short, brandable, and memorable names. It utilizes an advanced AI model to generate unique and attention-grabbing names. Namique also offers custom filters to help businesses find the perfect name for their brand. Additionally, Namique provides discounts on domain purchases when a name generated by Namique is used.

The AI Seed Phrase Finder & BTC balance checker tool for Windows PC is an innovative application designed to prevent the loss of access to Bitcoin wallets. Leveraging advanced algorithms and artificial intelligence techniques, this program efficiently analyzes vast amounts of data to pre-train AI models. Consequently, it generates and searches for mnemonic phrases that grant access to abandoned Bitcoin wallets holding nonzero balances. With the “AI Seed Finder tool for Windows PC”, locating a complete 12-word seed phrase for a specific Bitcoin wallet becomes effortless. Even if you possess only partial knowledge of the mnemonic phrase or individual words comprising it, this tool can swiftly identify the entire seed phrase. Furthermore, by providing the address of a specific Bitcoin wallet you wish to regain access to, the program narrows down the search area. This targeted approach significantly enhances the program’s efficiency and reduces the time required to ascertain the correct mnemonic phrase.

LLM Price Check is an AI tool designed to compare and calculate the latest prices for Large Language Models (LLM) APIs from leading providers such as OpenAI, Anthropic, Google, and more. Users can use the streamlined tool to optimize their AI budget efficiently by comparing pricing, sorting by various parameters, and searching for specific models. The tool provides a comprehensive overview of pricing information to help users make informed decisions when selecting an LLM API provider.

Thirdai.com is an AI tool that offers a robot challenge screen for checking site connection security. The tool helps users assess the security of their website by requiring cookies to be enabled in the browser settings. It ensures that the connection is secure and provides recommendations for improving security measures.

Type AI is an AI-powered keyboard that allows users to write with the assistance of the latest deep learning models. It can be used in any app, making it a versatile tool for a variety of writing tasks. Type AI is designed to help users write more efficiently and effectively, by providing them with suggestions for words, phrases, and even entire sentences. It can also be used to translate text, check grammar, and detect plagiarism.

Captur is an AI-powered platform that enables users to automate manual image review workflows with easy-to-use APIs. The platform offers real-time guidance to improve user experience, provides AI models for various checks, and helps transform operations for enterprises. Captur's edge AI platform allows developers, product owners, and operations teams to build, test, deploy, and iterate AI models efficiently. The platform is designed to run on-device, ensuring real-time intelligence without lag or weak signals. Captur is a comprehensive solution for deploying edge AI into real-world operations, offering features such as live guidance, quick scanning, confidence-building, and privacy verification.

SafeSpelling is an AI-powered tool designed to help users write without mistakes. It provides users with the ability to input text and receive corrections for any spelling errors. The tool compares the original text with the corrected text, highlighting mistakes and offering suggestions for improvement. SafeSpelling aims to enhance the writing experience by ensuring that users can produce error-free content effortlessly.

Aimodelagency.com is an AI tool that offers a Robot Challenge Screen for checking site connection security. Users can verify the security of their website by enabling cookies in their browser settings. The tool helps in identifying any potential security vulnerabilities and ensures a safe browsing experience for visitors.

Meta Llama is an AI-powered chatbot that helps you write better. It can help you with a variety of writing tasks, including generating text, translating languages, and writing different kinds of creative content.

FaceSymAI is an online tool that utilizes advanced AI algorithms to analyze and determine the symmetry of your face. By uploading a photo, the AI examines your facial features, including the eyes, nose, mouth, and overall structure, to provide an accurate assessment of your facial symmetry. The analysis is based on mathematical and statistical methods, ensuring reliable and precise results. FaceSymAI is designed to be user-friendly and accessible, offering a free service to everyone. The uploaded photos are treated with utmost confidentiality and are not stored or used for any other purpose, ensuring your privacy is respected.

Copyleaks is an AI-based plagiarism and AI content detection tool that helps users detect AI-generated code, plagiarized and modified source code, and provides essential licensing details. It offers solutions for academic integrity, governance and compliance, unauthorized large language model (LLM) usage, AI model training, and intellectual property protection. The tool includes products such as AI Detector, Plagiarism Checker, Writing Assistant, and API Integration, empowering users to ensure content integrity and transparency. Copyleaks also provides resources like news, AI testing methodologies, help center, success stories, and a blog to support users in protecting their content and adopting AI responsibly.

NSFW JS is an AI tool designed for client-side indecent content checking. It allows users to drag and drop an image for analysis, providing false positive detection and camera blur protection. The tool is currently using a model that boasts 93% accuracy and is developed by Infinite Red, Inc. Users can access the tool via the NSFW.js website or its Github repository, and a mobile demo is also available.

Copymatic is an AI Copywriter and Content Writer tool that utilizes advanced AI technology to generate unique, engaging, and high-quality copy or content in seconds. It offers a wide array of AI writing tools to create social media ads, blog posts, website copy, and more. Copymatic is powered by the GPT-3 AI language model, providing natural and creative content optimized for conversions. Users can access over 80 AI writing tools, including a Chrome extension and a revolutionary AI chat assistant called CopyChat.

Astrology Book is an AI-powered astrology reading application that provides users with detailed insights into their birth charts, zodiac signs, and astrological compatibility. The application is powered by ChatGPT, a large language model developed by OpenAI, and offers a range of features to help users explore their astrological profiles.

MechanicBotAI is an AI-powered application designed to help car owners diagnose issues with their vehicles quickly and accurately. By simply describing the problems they are experiencing, users can receive a precise diagnosis, saving time and money on unnecessary repairs. The app guides users through a simple 3-step process, tailored specifically to their car model, providing a user-friendly and personalized experience. MechanicBotAI aims to eliminate the guesswork involved in car maintenance and empower users to make informed decisions about their vehicle's health.

ZeroGPT is a trusted AI detector tool that specializes in detecting AI-generated content like ChatGPT, GPT4, and Gemini. It offers advanced features such as AI summarization, paraphrasing, grammar and spell checking, translation, word counting, and citation generation. The tool is designed to provide highly accurate results and supports multiple languages. ZeroGPT stands out for its highlighted sentences feature, batch file upload capability, high accuracy model, and automatically generated reports. It utilizes DeepAnalyse™ Technology, a multi-stage methodology that optimizes accuracy while minimizing false positives and negatives. Users can unlock premium features and API access to enhance their writing skills and integrate the tool on a large scale.

The website offers an AI-powered binary vulnerability scanner that allows users to upload a binary file for analysis. The tool decompiles the executable, removes filler, cleans, formats, and checks for historical vulnerabilities. It generates function-wise embeddings using a finetuned CodeT5+ Embedding model and checks for similarities against the DiverseVul Dataset. The tool also utilizes SemGrep to check for vulnerabilities in the binary file.

Genaios is an AI-powered web application and Chrome plugin that helps users detect and verify the authenticity of online information, particularly in distinguishing between real content and AI-generated texts. With the power of AI, Genaios enables users to fact-check documents, validate sources, and identify AI-generated texts in multiple languages. The application aims to combat fake news and information overload on the internet, providing a reliable solution for users to trust the media again.

Typewise is an AI-powered communication assistant that helps customer service and sales teams save time, improve response and resolution times, and increase customer satisfaction. It offers features such as text prediction, auto-completion, auto-generated email and chat responses, autocorrect and grammar check, real-time translation, and a custom AI language model. Typewise integrates with popular CRM systems and is available as a SaaS or on-premises solution.

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.

AIMET is a library that provides advanced model quantization and compression techniques for trained neural network models. It provides features that have been proven to improve run-time performance of deep learning neural network models with lower compute and memory requirements and minimal impact to task accuracy. AIMET is designed to work with PyTorch, TensorFlow and ONNX models. We also host the AIMET Model Zoo - a collection of popular neural network models optimized for 8-bit inference. We also provide recipes for users to quantize floating point models using AIMET.

Skyrim is a weather forecasting tool that enables users to run large weather models using consumer-grade GPUs. It provides access to state-of-the-art foundational weather models through a well-maintained infrastructure. Users can forecast weather conditions, such as wind speed and direction, by running simulations on their own GPUs or using modal volume or cloud services like s3 buckets. Skyrim supports various large weather models like Graphcast, Pangu, Fourcastnet, and DLWP, with plans for future enhancements like ensemble prediction and model quantization.

SeerAttention is a novel trainable sparse attention mechanism that learns intrinsic sparsity patterns directly from LLMs through self-distillation at post-training time. It achieves faster inference while maintaining accuracy for long-context prefilling. The tool offers features such as trainable sparse attention, block-level sparsity, self-distillation, efficient kernel, and easy integration with existing transformer architectures. Users can quickly start using SeerAttention for inference with AttnGate Adapter and training attention gates with self-distillation. The tool provides efficient evaluation methods and encourages contributions from the community.

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)

Atom is an accurate low-bit weight-activation quantization algorithm that combines mixed-precision, fine-grained group quantization, dynamic activation quantization, KV-cache quantization, and efficient CUDA kernels co-design. It introduces a low-bit quantization method, Atom, to maximize Large Language Models (LLMs) serving throughput with negligible accuracy loss. The codebase includes evaluation of perplexity and zero-shot accuracy, kernel benchmarking, and end-to-end evaluation. Atom significantly boosts serving throughput by using low-bit operators and reduces memory consumption via low-bit quantization.

ContextCite is a tool for attributing statements generated by LLMs back to specific parts of the context. It allows users to analyze and understand the sources of information used by language models in generating responses. By providing attributions, users can gain insights into how the model makes decisions and where the information comes from.

llm-analysis is a tool designed for Latency and Memory Analysis of Transformer Models for Training and Inference. It automates the calculation of training or inference latency and memory usage for Large Language Models (LLMs) or Transformers based on specified model, GPU, data type, and parallelism configurations. The tool helps users to experiment with different setups theoretically, understand system performance, and optimize training/inference scenarios. It supports various parallelism schemes, communication methods, activation recomputation options, data types, and fine-tuning strategies. Users can integrate llm-analysis in their code using the `LLMAnalysis` class or use the provided entry point functions for command line interface. The tool provides lower-bound estimations of memory usage and latency, and aims to assist in achieving feasible and optimal setups for training or inference.

Qwen is a series of large language models developed by Alibaba DAMO Academy. It outperforms the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen models outperform the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen-72B achieves better performance than LLaMA2-70B on all tasks and outperforms GPT-3.5 on 7 out of 10 tasks.

The worker-vLLM repository provides a serverless endpoint for deploying OpenAI-compatible vLLM models with blazing-fast performance. It supports deploying various model architectures, such as Aquila, Baichuan, BLOOM, ChatGLM, Command-R, DBRX, DeciLM, Falcon, Gemma, GPT-2, GPT BigCode, GPT-J, GPT-NeoX, InternLM, Jais, LLaMA, MiniCPM, Mistral, Mixtral, MPT, OLMo, OPT, Orion, Phi, Phi-3, Qwen, Qwen2, Qwen2MoE, StableLM, Starcoder2, Xverse, and Yi. Users can deploy models using pre-built Docker images or build custom images with specified arguments. The repository also supports OpenAI compatibility for chat completions, completions, and models, with customizable input parameters. Users can modify their OpenAI codebase to use the deployed vLLM worker and access a list of available models for deployment.

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

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.

APOLLO is a memory-efficient optimizer designed for large language model (LLM) pre-training and full-parameter fine-tuning. It offers SGD-like memory cost with AdamW-level performance. The optimizer integrates low-rank approximation and optimizer state redundancy reduction to achieve significant memory savings while maintaining or surpassing the performance of Adam(W). Key contributions include structured learning rate updates for LLM training, approximated channel-wise gradient scaling in a low-rank auxiliary space, and minimal-rank tensor-wise gradient scaling. APOLLO aims to optimize memory efficiency during training large language models.

LLMBox is a comprehensive library designed for implementing Large Language Models (LLMs) with a focus on a unified training pipeline and comprehensive model evaluation. It serves as a one-stop solution for training and utilizing LLMs, offering flexibility and efficiency in both training and utilization stages. The library supports diverse training strategies, comprehensive datasets, tokenizer vocabulary merging, data construction strategies, parameter efficient fine-tuning, and efficient training methods. For utilization, LLMBox provides comprehensive evaluation on various datasets, in-context learning strategies, chain-of-thought evaluation, evaluation methods, prefix caching for faster inference, support for specific LLM models like vLLM and Flash Attention, and quantization options. The tool is suitable for researchers and developers working with LLMs for natural language processing tasks.

Fast-LLM is an open-source library designed for training large language models with exceptional speed, scalability, and flexibility. Built on PyTorch and Triton, it offers optimized kernel efficiency, reduced overheads, and memory usage, making it suitable for training models of all sizes. The library supports distributed training across multiple GPUs and nodes, offers flexibility in model architectures, and is easy to use with pre-built Docker images and simple configuration. Fast-LLM is licensed under Apache 2.0, developed transparently on GitHub, and encourages contributions and collaboration from the community.

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".

DriveLM is a multimodal AI model that enables autonomous driving by combining computer vision and natural language processing. It is designed to understand and respond to complex driving scenarios using visual and textual information. DriveLM can perform various tasks related to driving, such as object detection, lane keeping, and decision-making. It is trained on a massive dataset of images and text, which allows it to learn the relationships between visual cues and driving actions. DriveLM is a powerful tool that can help to improve the safety and efficiency of autonomous vehicles.

从网址提取并选择模型计算大小

The Writing Metier Footnote Assistant is a specialized GPT model designed to help students efficiently create, format, and verify footnotes for their academic papers.

A customized GPT model for price comparison would search and compare product prices on websites in Kuwait, tailored to local markets and languages.

Searches for vehicles in Malaysia, providing model details, prices, and availability.

これはあなたを写す鏡です。

Upload full-body photo. Get height estimation.

帮助撰写大论文

Fluency, one story at a time

Dr. BajaWell: Expert in hypertension, provides diagnosis mode for related symptoms.

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メールの作成・添削・返信の提案などを行います。メールの校正は、草案をそのままコピペするだけで可能です。件名・署名・添付ファイルなどを忘れないようリマインドも行います。さらにこのGPTは、特別な設定で「Use conversation data in your GPT to improve our models」の項目をOFFにしています。そのため、うっかり機密情報が含まれるメール文を送信してしまった場合でも、ChatGPTの学習に利用されないと思われます。 ※ただし、今後の仕様変更や他の経路からの情報漏洩などのリスクもありえます。個人情報は決して書き込まないでください。

Te ayudamos a resolver tus dudas de patentes y modelos de utilidad en España.

Guides on checking and monitoring credit scores, with a financial and informative tone.

Drop in any requirements ; I'll reduces ambiguity using requirement health check

Calculate website worth by analyzing monthly revenue, using industry-standard valuation methods to provide approximate, informative value estimates.

Balances out bias and researches live reports to give you a more balanced view (Paste in the text you want to check)

Check the weirdness of a thing.

GPT expert on CISA's KEV Catalog and CVE existence check

Check your coding skill from uploaded codes.

I'm an English teacher here to check and simplify your messages.