Best AI tools for< Infer Results >

Dreamora is an AI-powered dream interpretation application that provides accurate and comprehensive interpretations of dreams. It utilizes advanced artificial intelligence techniques and draws upon the knowledge of renowned dream interpreters like Ibn Sirin and Al-Nabulsi. By simply entering your dream into the application, you can receive a free and instant interpretation within seconds. Dreamora's interpretations consider all aspects of your dream, including the location, characters, and emotions, to offer the most precise results possible.

The Cerebras API is a high-speed inferencing solution for AI model inference powered by Cerebras Wafer-Scale Engines and CS-3 systems. It offers developers access to two models: Meta’s Llama 3.1 8B and 70B models, which are instruction-tuned and suitable for conversational applications. The API provides low-latency solutions and invites developers to explore new possibilities in AI development.

OddBooks is an AI tool that transforms books into scenarios, enabling users to create derivative works such as audiobooks, webtoons, animations, and movies. It simplifies the process by extracting dialogue, character names, emotions, spatial and sound keywords from the text, and inferring character personalities. With OddBooks, users can easily generate scripts for secondary works in a fraction of the time it would traditionally take. The platform revolutionizes scenario creation for book-based content, offering a unique and efficient solution for content creators.

TalkForm AI is an AI-powered form creation and filling tool that revolutionizes the traditional form-building process. With the ability to chat to create and chat to fill forms, TalkForm AI offers a seamless and efficient solution for creating and managing forms. The application leverages AI technology to automatically infer field types, validate, clean, structure, and fill form responses, ensuring data remains structured for easy analysis. TalkForm AI also provides custom validations, complicated conditional logic, and unlimited power to cater to diverse form creation needs.

Inner AI is an innovative AI tool designed to help users with various tasks using artificial intelligence technology. The application offers a user-friendly interface and a wide range of features to enhance productivity and efficiency. With Inner AI, users can automate repetitive tasks, analyze data, generate insights, and streamline workflows. Whether you are a business professional, student, or researcher, Inner AI can assist you in achieving your goals faster and more effectively.

StoicGPT is a digital guide to Stoic wisdom, providing timeless teachings and insights to help users discover inner peace and resilience. It offers personalized conversations, guidance, and support based on the principles of Stoicism, an ancient philosophy that emphasizes virtue, reason, and acceptance of fate.

FiveTaco is an AI-powered platform designed to help solopreneurs master multiple skills and excel in the business world. The platform offers a curated toolkit of tools, tips, and tricks to assist users in wearing multiple hats with style. From AI-powered video creators to all-in-one business platforms, FiveTaco provides a comprehensive solution for solopreneurs looking to thrive in their entrepreneurial journey.

Perfect365 is an AI makeup application that allows users to virtually try on makeup and hairstyles through advanced augmented reality technology. With over 100 million users, the app offers a seamless way to experiment with different looks, acting as a personal beauty assistant. Users can adjust every aspect of their appearance, from skin tone to eye color, all while maintaining a natural and realistic look. The app employs artificial intelligence algorithms to let users experiment with different makeup looks virtually, without the need for physical products. Perfect365 is a pioneer in the beauty apps sector, providing users with a transformative experience in exploring e-cosmetics.

Fe/male Switch is a women-first startup game that offers a browser-based startup simulator experience. Players can assemble a team, create a startup with an investor and mentor, gain startup experience, win prizes, and get funded. The game aims to help individuals build their first startup, validate ideas, and overcome startup challenges. It provides a platform for aspiring entrepreneurs to test their entrepreneurial potential and learn essential business skills in a risk-free environment. Fe/male Switch features a unique Gamepreneurship methodology, AI co-founder support, and educational resources to guide players through the startup building process.

The AI Rap Generator is a cutting-edge tool that utilizes advanced artificial intelligence to create unique rap songs. Whether you are a seasoned artist or just someone looking to have fun, the AI rap generator provides a seamless way to produce personalized rap music. Users can input their own lyrics, select instrumentals, and choose music styles to tailor their rap song precisely to their preferences. The tool offers customization options, instant creation of rap songs, creative freedom, and accessibility from any location. It is designed for accessibility, catering to users of all musical backgrounds, and empowers users to explore various styles and themes.

Thumbmachine is an AI-powered platform designed to help users create stunning YouTube video thumbnails quickly and easily. It offers a range of features such as AI thumbnail generation, background removal AI, palette generation, and image upscaling AI. Users can easily customize their thumbnails by selecting hero images, backgrounds, colors, and text, all with the assistance of AI technology. The platform aims to streamline the thumbnail creation process, allowing users to focus on creativity rather than manual design tasks.

Headbot is an AI tool that allows users to create their own AI-generated buff portraits. With over 100 personalized portraits in 4K resolution, users can impress their friends and family or use them as a gag gift. The tool processes uploaded photos to generate a variety of buff images, which are deleted within 24 hours. Headbot has received positive feedback from satisfied customers who have achieved their desired looks through the AI-generated portraits.

Country Lyrics AI is a website that utilizes artificial intelligence to create country music lyrics. It is a fun project developed by a group of friends to explore AI and machine learning technologies. Users can generate unique country song lyrics through the platform, offering a creative and entertaining experience for music enthusiasts and aspiring songwriters.

Heli Naik is an online platform offering watercolor classes for individuals interested in learning and improving their watercolor painting skills. The platform provides monthly membership classes, single-subject classes, and top-rated classes, all designed to be fun, relaxed, and encouraging. Heli Naik, a self-taught watercolor artist, aims to help people unleash their creativity and explore the world of watercolor painting. The classes include step-by-step tutorials, access to various techniques, and a supportive community for artists of all skill levels.

Character Lingo is a web application that allows users to transform their writing into the voice of their favorite characters. Users can input text and have it converted to match the persona of iconic characters such as Jack Sparrow, Yoda, Iron Man, and many more. The application aims to add a fun and creative twist to writing by enabling users to unleash their inner star and bring their characters to life. With a Chrome extension available, users can easily integrate Character Lingo into their browsing experience for seamless character-based text transformation.

Cerebral AI is an AI-powered meditation app that uses AI-generated soundscapes, a simple and uncluttered app design, and tailored mindfulness recommendations to enhance the meditation experience. It is designed to help users find calm and clarity through daily meditation and relaxation exercises.

Personalities.me is a website that provides resources and information related to personalities. The domain seems to have expired, but it used to offer content and insights on various personality types, traits, and characteristics. Users could explore different aspects of personalities and potentially gain a better understanding of themselves and others. The website might have included articles, quizzes, and other interactive features to engage visitors in learning more about the fascinating world of personalities.

Recipeasy is an AI-powered recipe generator that helps users create easy and delicious meals. The website offers a Recipe Builder where users can input what they are making, for how many people, and dietary preferences such as vegan, vegetarian, gluten-free, dairy-free, nut-free, and kosher. The AI algorithm then generates a customized recipe based on the inputs provided. Recipeasy is designed to simplify the cooking process and provide users with quick and tasty meal ideas. The platform is user-friendly and suitable for both experienced cooks and beginners.

Zenora is a mental health AI application that empowers users to uncover their inner strength and achieve peace and fulfillment. Developed by clinical psychologists, Zenora combines advanced AI technology with health psychology principles to provide personalized mental health support. Users can track their moods, habits, and goals for free, engage in AI-guided therapeutic sessions, set and manage personal growth goals, and gain insights into their emotional well-being through in-depth analytics.

Ergodic is an AI tool called Kepler that empowers businesses to make data-driven decisions. Kepler acts as an AI action engine, bridging the knowledge gap between business context and data insights. It goes beyond number crunching to help businesses build scenarios, evaluate outcomes, and take action based on objectives. With a focus on action-first approach, Kepler streamlines decision-making processes by providing actionable insights for optimizing processes, identifying opportunities, and mitigating risks.

MMOS (Mix of Minimal Optimal Sets) is a dataset designed for math reasoning tasks, offering higher performance and lower construction costs. It includes various models and data subsets for tasks like arithmetic reasoning and math word problem solving. The dataset is used to identify minimal optimal sets through reasoning paths and statistical analysis, with a focus on QA-pairs generated from open-source datasets. MMOS also provides an auto problem generator for testing model robustness and scripts for training and inference.

TableLLM is a large language model designed for efficient tabular data manipulation tasks in real office scenarios. It can generate code solutions or direct text answers for tasks like insert, delete, update, query, merge, and chart operations on tables embedded in spreadsheets or documents. The model has been fine-tuned based on CodeLlama-7B and 13B, offering two scales: TableLLM-7B and TableLLM-13B. Evaluation results show its performance on benchmarks like WikiSQL, Spider, and self-created table operation benchmark. Users can use TableLLM for code and text generation tasks on tabular data.

DashInfer is a C++ runtime tool designed to deliver production-level implementations highly optimized for various hardware architectures, including x86 and ARMv9. It supports Continuous Batching and NUMA-Aware capabilities for CPU, and can fully utilize modern server-grade CPUs to host large language models (LLMs) up to 14B in size. With lightweight architecture, high precision, support for mainstream open-source LLMs, post-training quantization, optimized computation kernels, NUMA-aware design, and multi-language API interfaces, DashInfer provides a versatile solution for efficient inference tasks. It supports x86 CPUs with AVX2 instruction set and ARMv9 CPUs with SVE instruction set, along with various data types like FP32, BF16, and InstantQuant. DashInfer also offers single-NUMA and multi-NUMA architectures for model inference, with detailed performance tests and inference accuracy evaluations available. The tool is supported on mainstream Linux server operating systems and provides documentation and examples for easy integration and usage.

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.

Mentals AI is a tool designed for creating and operating agents that feature loops, memory, and various tools, all through straightforward markdown syntax. This tool enables you to concentrate solely on the agent’s logic, eliminating the necessity to compose underlying code in Python or any other language. It redefines the foundational frameworks for future AI applications by allowing the creation of agents with recursive decision-making processes, integration of reasoning frameworks, and control flow expressed in natural language. Key concepts include instructions with prompts and references, working memory for context, short-term memory for storing intermediate results, and control flow from strings to algorithms. The tool provides a set of native tools for message output, user input, file handling, Python interpreter, Bash commands, and short-term memory. The roadmap includes features like a web UI, vector database tools, agent's experience, and tools for image generation and browsing. The idea behind Mentals AI originated from studies on psychoanalysis executive functions and aims to integrate 'System 1' (cognitive executor) with 'System 2' (central executive) to create more sophisticated agents.

ByteMLPerf is an AI Accelerator Benchmark that focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware. Byte MLPerf has the following characteristics: - Models and runtime environments are more closely aligned with practical business use cases. - For ASIC hardware evaluation, besides evaluate performance and accuracy, it also measure metrics like compiler usability and coverage. - Performance and accuracy results obtained from testing on the open Model Zoo serve as reference metrics for evaluating ASIC hardware integration.

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.

Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. * **Highly performant** : web layer and task coordination built with Rust 🦀, which offers blazing speed in addition to efficient CPU utilization powered by async I/O * **Ease of use** : user interface purely in Python 🐍, by which users can serve their models in an ML framework-agnostic manner using the same code as they do for offline testing * **Dynamic batching** : aggregate requests from different users for batched inference and distribute results back * **Pipelined stages** : spawn multiple processes for pipelined stages to handle CPU/GPU/IO mixed workloads * **Cloud friendly** : designed to run in the cloud, with the model warmup, graceful shutdown, and Prometheus monitoring metrics, easily managed by Kubernetes or any container orchestration systems * **Do one thing well** : focus on the online serving part, users can pay attention to the model optimization and business logic

Instructor for PHP is a library designed for structured data extraction in PHP, powered by Large Language Models (LLMs). It simplifies the process of extracting structured, validated data from unstructured text or chat sequences. Instructor enhances workflow by providing a response model, validation capabilities, and max retries for requests. It supports classes as response models and provides features like partial results, string input, extracting scalar and enum values, and specifying data models using PHP type hints or DocBlock comments. The library allows customization of validation and provides detailed event notifications during request processing. Instructor is compatible with PHP 8.2+ and leverages PHP reflection, Symfony components, and SaloonPHP for communication with LLM API providers.

This repository, Online RLHF, focuses on aligning large language models (LLMs) through online iterative Reinforcement Learning from Human Feedback (RLHF). It aims to bridge the gap in existing open-source RLHF projects by providing a detailed recipe for online iterative RLHF. The workflow presented here has shown to outperform offline counterparts in recent LLM literature, achieving comparable or better results than LLaMA3-8B-instruct using only open-source data. The repository includes model releases for SFT, Reward model, and RLHF model, along with installation instructions for both inference and training environments. Users can follow step-by-step guidance for supervised fine-tuning, reward modeling, data generation, data annotation, and training, ultimately enabling iterative training to run automatically.

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.

Instruct NER is a solution for complex Named Entity Recognition tasks, including Nested NER, based on modern Large Language Models (LLMs). It provides tools for dataset creation, training, automatic metric calculation, inference, error analysis, and model implementation. Users can create instructions for LLM, build dictionaries with labels, and generate model input templates. The tool supports various entity types and datasets, such as RuDReC, NEREL-BIO, CoNLL-2003, and MultiCoNER II. It offers training scripts for LLMs and metric calculation functions. Instruct NER models like Llama, Mistral, T5, and RWKV are implemented, with HuggingFace models available for adaptation and merging.

Uni-MoE is a MoE-based unified multimodal model that can handle diverse modalities including audio, speech, image, text, and video. The project focuses on scaling Unified Multimodal LLMs with a Mixture of Experts framework. It offers enhanced functionality for training across multiple nodes and GPUs, as well as parallel processing at both the expert and modality levels. The model architecture involves three training stages: building connectors for multimodal understanding, developing modality-specific experts, and incorporating multiple trained experts into LLMs using the LoRA technique on mixed multimodal data. The tool provides instructions for installation, weights organization, inference, training, and evaluation on various datasets.

HebTTS is a language modeling approach to diacritic-free Hebrew text-to-speech (TTS) system. It addresses the challenge of accurately mapping text to speech in Hebrew by proposing a language model that operates on discrete speech representations and is conditioned on a word-piece tokenizer. The system is optimized using weakly supervised recordings and outperforms diacritic-based Hebrew TTS systems in terms of content preservation and naturalness of generated speech.

**RVC_CLI: Retrieval-based Voice Conversion Command Line Interface** This command-line interface (CLI) provides a comprehensive set of tools for voice conversion, enabling you to modify the pitch, timbre, and other characteristics of audio recordings. It leverages advanced machine learning models to achieve realistic and high-quality voice conversions. **Key Features:** * **Inference:** Convert the pitch and timbre of audio in real-time or process audio files in batch mode. * **TTS Inference:** Synthesize speech from text using a variety of voices and apply voice conversion techniques. * **Training:** Train custom voice conversion models to meet specific requirements. * **Model Management:** Extract, blend, and analyze models to fine-tune and optimize performance. * **Audio Analysis:** Inspect audio files to gain insights into their characteristics. * **API:** Integrate the CLI's functionality into your own applications or workflows. **Applications:** The RVC_CLI finds applications in various domains, including: * **Music Production:** Create unique vocal effects, harmonies, and backing vocals. * **Voiceovers:** Generate voiceovers with different accents, emotions, and styles. * **Audio Editing:** Enhance or modify audio recordings for podcasts, audiobooks, and other content. * **Research and Development:** Explore and advance the field of voice conversion technology. **For Jobs:** * Audio Engineer * Music Producer * Voiceover Artist * Audio Editor * Machine Learning Engineer **AI Keywords:** * Voice Conversion * Pitch Shifting * Timbre Modification * Machine Learning * Audio Processing **For Tasks:** * Convert Pitch * Change Timbre * Synthesize Speech * Train Model * Analyze Audio

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

RVC_CLI is a command line interface tool for retrieval-based voice conversion. It provides functionalities for installation, getting started, inference, training, UVR, additional features, and API integration. Users can perform tasks like single inference, batch inference, TTS inference, preprocess dataset, extract features, start training, generate index file, model extract, model information, model blender, launch TensorBoard, download models, audio analyzer, and prerequisites download. The tool is built on various projects like ContentVec, HIFIGAN, audio-slicer, python-audio-separator, RMVPE, FCPE, VITS, So-Vits-SVC, Harmonify, and others.

This repository provides an LLM-driven audio codec model, LLM-Codec, for building multi-modal LLMs (text and audio modalities). The model enables frozen LLMs to achieve multiple audio tasks in a few-shot style without parameter updates. It compresses the audio modality into a well-trained LLMs token space, treating audio representation as a 'foreign language' that LLMs can learn with minimal examples. The proposed approach supports tasks like speech emotion classification, audio classification, text-to-speech generation, speech enhancement, etc., demonstrating feasibility and effectiveness in simple scenarios. The LLM-Codec model is open-sourced to facilitate research on few-shot audio task learning and multi-modal LLMs.

ShieldLM is a bilingual safety detector designed to detect safety issues in LLMs' generations. It aligns with human safety standards, supports customizable detection rules, and provides explanations for decisions. Outperforming strong baselines, ShieldLM is impressive across 4 test sets.

BlendSQL is a superset of SQLite designed for problem decomposition and hybrid question-answering with Large Language Models (LLMs). It allows users to blend operations over heterogeneous data sources like tables, text, and images, combining the structured and interpretable reasoning of SQL with the generalizable reasoning of LLMs. Users can oversee all calls (LLM + SQL) within a unified query language, enabling tasks such as building LLM chatbots for travel planning and answering complex questions by injecting 'ingredients' as callable functions.

デジタル テキストを除く、手書きの筆圧を分析して性格特性を推測します。(Analyzes handwriting pressure to infer personality traits, excluding digital text.)

コードを分析し、言語ではなくスタイルに焦点を当て、プログラムを書いた人の性格を推察するツールです。( It is a tool that analyzes code, focuses on style rather than language, and infers the personality of the person who wrote the program. )

I provide detailed summaries, critiques, and inferences on articles, papers, transcripts, websites, and more. Just give me text, a URL, or file to digest.

Start by sharing what’s on your mind or any emotional challenges you're facing. PSYCH will guide you through reflective dialogue, providing insights and coping mechanisms tailored to your needs.

Rent a 1 bedroom apartment Melbourne

The Bhagavad Gita imparts wisdom on ethical living, duty without attachment, and mindfulness,fostering personal growth, emotional resilience, and inner peace. Its teachings encourage self-awareness, compassion,and spiritual well-being through paths like yoga and meditation, enhancing life's journey

A spiritual guide to discuss enlightenment and inner peace.

Unleash Your Inner GOAT in Coding! Be the ultimate full-stack developer with unrivaled skills in all coding languages and platforms. Write elegant, secure code, and more. Excel in cybersecurity and innovate with your comprehensive expertise. Ready to code like never before?

Unleash Your Inner Pixel

Welcome to the Inner Circle Trader GPT Model

Unleash Your Inner Chef

Sparking your inner art genius with a dash of wit!

Your guide for daily spiritual journaling and inner wisdom.

Unleash your inner Bearded Badass! Beard’s got your back (and beard) with custom humor, grooming hacks, and wisdom as unique as your facial hair!

A guide to help you traverse your inner world, Guru is designed to help you navigate the complexities of life with scientific, therapeutic, and spiritual approaches grounded in simplicity and self-understanding.

Mastering Stock Trading with Price Action Concepts: An Educational Guide Inspired by Michael J. Huddleston's Inner Circle Trader(ICT). Fan created for educational purpose only.

Fix yourself, rebuild and challenge yourself with code, unleash your inner beast!

Guidance and insights based on Buddhist philosophy.

Dual persona of good & bad conscience, offering contrasting advice.

A deity of beauty guiding in embracing femininity.