Best AI tools for< Generate Celebration Wishes >

Lazy Cards is an AI-powered application that offers a convenient solution for sending personalized greeting cards effortlessly. Users can choose from a variety of pre-written AI-generated cards for different occasions, or create their own unique messages. The platform caters to both lazy individuals who want to save time and effort, as well as those looking for a thoughtful yet convenient way to send greetings to their loved ones. Lazy Cards aims to simplify the process of card sending by providing affordable options for physical and digital cards, making it a go-to choice for busy or creatively challenged users.

Truth or Dare AI is an innovative iOS app that transforms any gathering into an interactive and memorable experience. It uses AI to generate personalized truth or dare questions and challenges, ensuring that every game is unique and tailored to the theme and mood of the occasion. Whether it's a festive celebration, a casual hangout, or a spicy adult game night, Truth or Dare AI adapts to your preferences, offering a range of questions from light-hearted to daringly spicy. With its versatility and endless variety of themes and game styles, Truth or Dare AI is the perfect choice for those seeking a flexible and entertaining gaming experience.

Christmas Images Generator is an AI-powered platform that allows users to effortlessly create stunning Christmas images for holiday celebrations. The user-friendly interface and innovative features make it easy for both beginners and experts to generate high-quality, customizable images perfect for holiday cards, social media, or festive decorations.

Workdiary is a game-changing productivity website designed to help users seamlessly organize and streamline their work tasks, achievements, and goals. It offers features such as AI Integration, goal setting and tracking, project management, milestone celebration, career guidance, and badge collection. Users can utilize their personal OpenAI key to enhance project outcomes, track progress, and receive actionable guidance to advance in their careers. Workdiary aims to empower users to take control of their professional journey and shape their future with a tool that evolves with their needs.

CharacterGen is an advanced AI tool for efficient 3D character generation from single images. It utilizes cutting-edge multi-view pose calibration technology and deep learning algorithms to create detailed and realistic 3D models in seconds. The platform offers real-time processing, customizable outputs, and seamless integration capabilities, making it a valuable tool for professionals and beginners in gaming, animation, and virtual reality industries.

Jacquard is an AI-powered platform that offers hyper-personalized brand messaging at scale. It provides a core platform for generating brand-safe messaging, along with add-ons for audience optimization and personalized campaigns. The technology is designed to resonate with people by tailoring messaging to individual customer contexts. Jacquard's expert language calibration and trusted content generation ensure sustained brand affinity and high engagement levels. The platform integrates seamlessly with existing tech stacks and offers real-time API and data ingestion for continuous optimization.

Arcana is an AI-powered tool that offers exclusive, AI-crafted, 8K backgrounds to unleash fantastical visions. Users can explore collections like Fluid Dynamics, Cosmic Dreams, Fractured Reality, and more to create vibrant dreamscapes and conquer shadowy realms. With a focus on blending elegance and momentum, Arcana provides a visual exploration of form and motion, invoking mystery and wonder of the cosmos, celebrating innovative concepts, and engaging chaos and order to create visually harmonic experiences. Dive into the mesmerizing dance of reflection and refraction with the Alchemy Collection or step into an ethereal world with the Faerie Dreamscape Collection. Arcana embodies the elegance of modernity through metallic textures and sharp lines, capturing the essence of raw pigments interacting with elements. Unveil the intricate complexity of an electronic maze with the Techno Labyrinth collection, sculpting a landscape of technology in monochrome.

Generate is an experiment to generate data from LLM. It is now deprecated.

Self-Introduction Generate AI is an innovative platform designed to assist individuals and businesses in crafting compelling and effective self-introductions. It leverages advanced AI technology to understand context and generate personalized content. The platform can analyze and understand various types of input, including text and context, to generate tailored self-introductions that are engaging and informative, enhancing personal and professional branding. With features like quick response times, quality assurance, and specialized service for self-introductions, it is an ideal tool for job applications, networking events, and personal branding initiatives.

Nextatlas Generate Suite is a cutting-edge AI-powered trend forecasting service that revolutionizes market research by offering profound insights into market trends and consumer behavior. It provides a full array of specialized assistants to jumpstart team's work, including scouting innovation, planning multiple scenarios, discovering trending ingredients, and advising on brand strategy. The suite features GenAI Agents for efficient workflows, a Chat for advanced insights, Persona Generator for persona development, Ingredient Discovery Agent for food innovation, Innovation Tracker for tracking tech advancements, and Sentiment Pulse Agent for real-time insights on public opinion. It supports professionals in various roles like freelancers, brand strategists, trend researchers, innovation consultants, and insights strategists.

ZMO.AI is a free AI image generator tool that allows users to create stunning AI art, images, anime, and realistic photos from text or images with a simple click of a button. The tool offers a full suite of powerful features to generate, remove, expand, or edit images like a pro using AI magic. With ZMO.AI, users can effortlessly generate anime and manga characters, flawless portrait photos, and realistic backgrounds. The application is trusted by over 1,000,000 users worldwide for its high-quality AI image generation capabilities.

ZMO.AI is a free AI Image Generator that allows users to create stunning AI art, images, anime, and realistic photos from text or images with a simple click of a button. The platform offers a full suite of powerful AI image generation tools, including AI Photo Editor, AI Anime Generator, AI Background Changer, AI Video Generator, and more. Trusted by over 1,000,000 users worldwide, ZMO.AI provides studio-quality photo editing capabilities, background removal, image generation, and editing features powered by AI magic. Users can easily generate high-quality anime, manga characters, portraits, and images with versatile styles using the AI tools available on the platform.

Namelix by Brandmark.io is a free AI-powered business name generator that helps users create short, brandable names using artificial intelligence. The tool generates catchy names with a state-of-the-art language model, allowing users to filter results based on their preferences and save their favorite names. Namelix aims to provide unique, brandable names that are relevant to users' business ideas, with the algorithm learning from user preferences to offer better recommendations over time. Additionally, users can create a unique, professional logo for their business through Brandmark.io.

Dezgo is a text-to-image AI image generator powered by Stable Diffusion AI. It allows users to generate images from text descriptions. The tool offers various features such as controlled text-to-image, image-to-image upscale, inpainting from text, editing images from text, removing backgrounds, and text-to-video generation. Dezgo also provides access to models, APIs, and an affiliate program.

This free AI story generator can help you create unique and engaging stories in seconds. Simply enter a few details about your story, and our AI will generate a complete story for you. You can use this tool to generate story ideas, write short stories, or even create entire novels.

Photo AI is an AI-powered photo generator that allows users to create realistic images of people in various poses, settings, and actions. With Photo AI, users can upload their selfies to create their own AI model, which can then be used to generate photos in any pose, place, or action. Photo AI also offers a variety of photo packs, which provide users with pre-made photo templates and prompts. Additionally, Photo AI allows users to upload clothes to dress their AI model, and to create AI-generated fashion designs with Sketch2Image.

This Person Does Not Exist is a website that generates random, realistic faces of people who do not exist. The website uses a neural network called StyleGAN, developed by Nvidia, to create these faces. StyleGAN is a generative adversarial network (GAN), which is a type of machine learning algorithm that can generate new data from a given dataset. In the case of StyleGAN, the dataset is a collection of images of human faces. The GAN is trained on this dataset, and it learns to generate new faces that are realistic and indistinguishable from real faces.

SEO Writing AI is an AI-powered writing tool that helps users create SEO-optimized articles, blog posts, and affiliate content in just a few clicks. With its user-friendly interface and advanced features, SEO Writing AI makes it easy for anyone to generate high-quality content that ranks well in search results. Some of the key features of SEO Writing AI include the ability to generate articles in over 48 languages, automatically post articles to WordPress, and optimize content for specific keywords. SEO Writing AI also offers a variety of templates and tools to help users create engaging and informative content. Overall, SEO Writing AI is a valuable tool for anyone who wants to improve their content marketing efforts.

NICE is a leading Customer Experience (CX) AI Platform offering a range of AI-driven solutions for businesses to enhance customer experiences, optimize workforce engagement, and improve operational efficiency. The platform provides AI companions for contact center employees, AI-driven customer self-service, AI tools for CX leaders, and actionable insights through CX analytics. NICE also offers solutions tailored for various industries such as healthcare, retail, financial services, insurance, telecom, travel, and hospitality. With a focus on transforming experiences with AI, NICE helps businesses identify behaviors that drive frictionless customer experiences, boost customer loyalty, empower agents, and drive digital transformation.

OnlyWaifus.ai is an AI-powered tool that allows users to generate uncensored, photorealistic images of anime-style female characters. The tool is easy to use and requires no technical knowledge. Users simply need to describe the waifu they want to generate, and the tool will create an image that matches their specifications. OnlyWaifus.ai offers a variety of different styles to choose from, so users can create waifus that are cute, sexy, or even dark and twisted. The tool is also constantly being updated with new features and content, so users can always find something new to enjoy.

Rakis is a decentralized verifiable AI network in the browser where nodes can accept AI inference requests, run local models, verify results, and arrive at consensus without servers. It is open-source, functional, multi-model, multi-chain, and browser-first, allowing anyone to participate in the network. The project implements an embedding-based consensus mechanism for verifiable inference. Users can run their own node on rakis.ai or use the compiled version hosted on Huggingface. The project is meant for educational purposes and is a work in progress.

Strict JSON is a framework designed to handle JSON outputs with complex structures, fixing issues that standard json.loads() cannot resolve. It provides functionalities for parsing LLM outputs into dictionaries, supporting various data types, type forcing, and error correction. The tool allows easy integration with OpenAI JSON Mode and offers community support through tutorials and discussions. Users can download the package via pip, set up API keys, and import functions for usage. The tool works by extracting JSON values using regex, matching output values to literals, and ensuring all JSON fields are output by LLM with optional type checking. It also supports LLM-based checks for type enforcement and error correction loops.

This repository contains a curated list of resources on generative information retrieval, including research papers, datasets, tools, and applications. Generative information retrieval is a subfield of information retrieval that uses generative models to generate new documents or passages of text that are relevant to a given query. This can be useful for a variety of tasks, such as question answering, summarization, and document generation. The resources in this repository are intended to help researchers and practitioners stay up-to-date on the latest advances in generative information retrieval.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

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

This repository focuses on organizing resources for building synthetic datasets using large language models. It covers important datasets, libraries, tools, tutorials, and papers related to synthetic data generation. The goal is to provide pragmatic and practical resources for individuals interested in creating synthetic datasets for machine learning applications.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

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.

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

ExLlamaV2 is an inference library for running local LLMs on modern consumer GPUs. It is a faster, better, and more versatile codebase than its predecessor, ExLlamaV1, with support for a new quant format called EXL2. EXL2 is based on the same optimization method as GPTQ and supports 2, 3, 4, 5, 6, and 8-bit quantization. It allows for mixing quantization levels within a model to achieve any average bitrate between 2 and 8 bits per weight. ExLlamaV2 can be installed from source, from a release with prebuilt extension, or from PyPI. It supports integration with TabbyAPI, ExUI, text-generation-webui, and lollms-webui. Key features of ExLlamaV2 include: - Faster and better kernels - Cleaner and more versatile codebase - Support for EXL2 quantization format - Integration with various web UIs and APIs - Community support on Discord

AWQ (Activation-aware Weight Quantization) is a tool designed for efficient and accurate low-bit weight quantization (INT3/4) for Large Language Models (LLMs). It supports instruction-tuned models and multi-modal LMs, providing features such as AWQ search for accurate quantization, pre-computed AWQ model zoo for various LLMs, memory-efficient 4-bit linear in PyTorch, and efficient CUDA kernel implementation for fast inference. The tool enables users to run large models on resource-constrained edge platforms, delivering more efficient responses with LLM/VLM chatbots through 4-bit inference.

Humanoid-Gym is a reinforcement learning framework designed for training locomotion skills for humanoid robots, focusing on zero-shot transfer from simulation to real-world environments. It integrates a sim-to-sim framework from Isaac Gym to Mujoco for verifying trained policies in different physical simulations. The codebase is verified with RobotEra's XBot-S and XBot-L humanoid robots. It offers comprehensive training guidelines, step-by-step configuration instructions, and execution scripts for easy deployment. The sim2sim support allows transferring trained policies to accurate simulated environments. The upcoming features include Denoising World Model Learning and Dexterous Hand Manipulation. Installation and usage guides are provided along with examples for training PPO policies and sim-to-sim transformations. The code structure includes environment and configuration files, with instructions on adding new environments. Troubleshooting tips are provided for common issues, along with a citation and acknowledgment section.

RouteLLM is a framework for serving and evaluating LLM routers. It allows users to launch an OpenAI-compatible API that routes requests to the best model based on cost thresholds. Trained routers are provided to reduce costs while maintaining performance. Users can easily extend the framework, compare router performance, and calibrate cost thresholds. RouteLLM supports multiple routing strategies and benchmarks, offering a lightweight server and evaluation framework. It enables users to evaluate routers on benchmarks, calibrate thresholds, and modify model pairs. Contributions for adding new routers and benchmarks are welcome.

llm-compressor is an easy-to-use library for optimizing models for deployment with vllm. It provides a comprehensive set of quantization algorithms, seamless integration with Hugging Face models and repositories, and supports mixed precision, activation quantization, and sparsity. Supported algorithms include PTQ, GPTQ, SmoothQuant, and SparseGPT. Installation can be done via git clone and local pip install. Compression can be easily applied by selecting an algorithm and calling the oneshot API. The library also offers end-to-end examples for model compression. Contributions to the code, examples, integrations, and documentation are appreciated.

ABQ-LLM is a novel arbitrary bit quantization scheme that achieves excellent performance under various quantization settings while enabling efficient arbitrary bit computation at the inference level. The algorithm supports precise weight-only quantization and weight-activation quantization. It provides pre-trained model weights and a set of out-of-the-box quantization operators for arbitrary bit model inference in modern architectures.

hackingBuddyGPT is a framework for testing LLM-based agents for security testing. It aims to create common ground truth by creating common security testbeds and benchmarks, evaluating multiple LLMs and techniques against those, and publishing prototypes and findings as open-source/open-access reports. The initial focus is on evaluating the efficiency of LLMs for Linux privilege escalation attacks, but the framework is being expanded to evaluate the use of LLMs for web penetration-testing and web API testing. hackingBuddyGPT is released as open-source to level the playing field for blue teams against APTs that have access to more sophisticated resources.

Awesome-Efficient-LLM is a curated list focusing on efficient large language models. It includes topics such as knowledge distillation, network pruning, quantization, inference acceleration, efficient MOE, efficient architecture of LLM, KV cache compression, text compression, low-rank decomposition, hardware/system, tuning, and survey. The repository provides a collection of papers and projects related to improving the efficiency of large language models through various techniques like sparsity, quantization, and compression.

GPTQModel is an easy-to-use LLM quantization and inference toolkit based on the GPTQ algorithm. It provides support for weight-only quantization and offers features such as dynamic per layer/module flexible quantization, sharding support, and auto-heal quantization errors. The toolkit aims to ensure inference compatibility with HF Transformers, vLLM, and SGLang. It offers various model supports, faster quant inference, better quality quants, and security features like hash check of model weights. GPTQModel also focuses on faster quantization, improved quant quality as measured by PPL, and backports bug fixes from AutoGPTQ.

心のこもった日本語の出産祝いメッセージを作成します。

Generates Angular components based on requirements, with a focus on code-first responses.

Transforms lines into detailed prompts for visual storytelling.

Discover how your writing can shine with a unique and human style. This prompt guides you to create rich and varied texts, surprising with original twists and maintaining coherence and originality. Transform your writing and challenge AI detection tools!

Generate captions for your image and choose the vibe you like.

I generate top 10 PLG strategies in a table format

I generate viral GPT ideas based on your inputs.

Generate your eslint rule

I generate witty trash talk for fantasy football leagues.

Generate dreamy landscapes with silhouette persons

Helps you generate script keyframes, for better experience please visit museclip.ai

I generate tattoo design ideas based on your preferences.

Extract the essence of the novel story according to the quantity requirements and generate corresponding images. The images can be used directly to create novel videos.小说推文图片自动批量生成,可自动生成风格一致性图片

This GPT can generate code for you. For now it creates full-stack apps using Typescript. Just describe the feature you want and you will get a link to the Github code pull request and the live app deployed.

Generate personalized book covers

Generate Good Morning Messages for WhatsApp

I generate catchy product taglines.

I generate concise Chakra UI code from UI images or requirements.

I design Hearthstone cards and generate art.

Generate badass hacker art and profile pics.