Best AI tools for< Improve Post Quality >

Buzzli is an AI-powered tool designed to help LinkedIn users enhance their personal branding and grow their audience. It offers a comprehensive suite of tools for idea generation, post creation, post improvement, scheduling, and more. With features like personalized posts, AI-generated images, and access to top industry posts, Buzzli aims to streamline the process of creating engaging content on LinkedIn. Trusted by over 1000 users, Buzzli is a valuable resource for professionals looking to elevate their LinkedIn game.

Blog Post Generator is an AI-powered tool that helps you create high-quality blog posts in seconds. With our tool, you can easily generate unique and engaging content for your blog, website, or social media channels. Our tool is easy to use and requires no technical skills. Simply select your desired language and industry, and our tool will generate a unique blog post for you.

PostPulse is an AI-powered application designed to elevate the online presence and SEO performance of SaaS startups. It generates high-quality, SEO-optimized content and publishes it on premium domains to improve search engine rankings and drive organic traffic. With flexible subscription plans and features like auto-scheduling, PostPulse aims to help SaaS founders enhance their digital footprint effortlessly.

Writetone is an AI-powered writing assistant that helps users write in a variety of tones, from formal to informal, persuasive to informative, and creative to engaging. It offers a range of features to help users improve their writing skills, including a paraphrasing tool, co-writer, summarizer, grammar checker, text-to-voice tool, and subject matter expert. Writetone is available as a Chrome extension and MS Word add-in, and it offers a variety of resources to help users get started, including blogs, guides, tutorials, and free templates.

Pixop is a cloud-based AI- and ML-powered video enhancer that is designed to help production companies, TV stations, rightsholders and independent creators monetize their digital archives by enhancing and upscaling footage to fit today's screens. It offers a range of features such as video asset management, storage, video quality analysis, transcoding and tools for easy collaboration between colleagues and clients.

Enwrite is an AI-powered writing tool that helps you create high-quality content quickly and easily. With Enwrite, you can generate articles, blog posts, social media posts, and more, in just a few clicks. Enwrite's AI engine is trained on a massive dataset of text, so it can generate content that is both informative and engaging.

MagicPost is an AI-powered LinkedIn post generator that helps you save time and create engaging, high-quality posts. With MagicPost, you can turn URLs into posts, get standout posts with the powers of GPT-4 AI and an advanced algorithm, and go live at any time. MagicPost is the perfect tool for anyone who wants to improve their LinkedIn content strategy.

AI BlogWiz is an AI application designed to assist users in generating high-quality blog content efficiently. It offers a range of AI-powered tools such as Full Blog Generator, AI Image Creation, SEO Tools, and Trained Chat Bots. Users can create compelling blog articles, generate SEO keywords, and enhance their content with AI assistance. AI BlogWiz aims to streamline the content creation process and help users attract more traffic to their websites through AI-driven strategies.

Deep Image AI is a revolutionary AI-powered image enhancer that allows users to upscale images up to 300 megapixels, remove artifacts, correct colors and light, remove backgrounds, and more. It is easy to use and does not require time-consuming manual post-processing. Deep Image AI also offers other AI-powered tools such as an avatar creator, image generator, and generative backdrops.

Cresta AI is a generative AI platform built for the contact center and trained on your data. It provides a suite of products that use AI to improve contact center performance, including Conversation Intelligence, Agent Assist, Knowledge Assist, and Virtual Agent. Cresta AI is used by leading companies in a variety of industries, including financial services, healthcare, and retail.

Shot Rate is an AI-powered e-commerce product image generation tool that helps businesses create high-quality, unique product images for their online stores. With Shot Rate, users can generate unlimited variations of their product images, including different angles, backgrounds, and styles. This can help businesses increase their sales by providing shoppers with more detailed and visually appealing product images.

SQM Group's mySQM™ QA software is a comprehensive solution for call centers to monitor, motivate, and manage agents, ultimately improving customer experience (CX) and reducing QA costs by 50%. It combines three data sources: post-call surveys, call handling data, and call compliance feedback, providing holistic CX insights. The software offers personalized agent self-coaching suggestions, real-time recognition for great CX delivery, and benchmarks, ranks, awards, and certifies Csat, FCR, and QA performance.

TimeToTok is an AI Copilot and Agent designed to assist TikTok creators in optimizing their content strategy for growth and engagement. By leveraging AI technology like GPT, TimeToTok analyzes millions of viral TikTok videos to provide personalized insights and recommendations. It helps creators identify the best time to post, generate viral ideas, optimize video quality, increase interaction with followers, track competitors, and access a comprehensive industry database. With a focus on data-driven methods and LLM AI technology, TimeToTok aims to simplify the process of achieving significant growth on TikTok.

Prompt Genie is a powerful tool that helps you generate high-quality prompts for ChatGPT. With Prompt Genie, you can easily create prompts for a wide variety of tasks, including crafting video hooks, improving video scripts, creating ideal customer profiles, finding value propositions, creating brand identities, marketing plans, copywriting using the PAS Framework, creating lesson outlines, and writing argumentative essays. Prompt Genie is easy to use and affordable, and it can help you save time and improve the quality of your work.

Writer.md is an AI-powered tool designed to help users create SEO-optimized blog post drafts effortlessly. By leveraging artificial intelligence technology, the platform assists in generating high-quality content by suggesting relevant keywords and structuring the content for better search engine visibility. Users can easily create drafts in multiple languages, including English, German, Dutch, Spanish, and Italian. The tool aims to streamline the content creation process and enhance the overall quality of blog posts.

Wordtune is a free AI writing assistant that helps you write better, faster. It can rewrite your text, summarize articles and videos, check your grammar, and even generate original content. Wordtune is used by professionals in leading companies around the world to improve their writing skills and save time.

VirtuSense Technologies is a leading provider of fall prevention and remote patient monitoring (RPM) solutions powered by artificial intelligence (AI). Their AI-driven solutions, VSTAlert and VSTBalance, are designed to help healthcare providers reduce falls, improve patient safety, and enhance care delivery. VSTAlert is a fall prevention system that uses AI to detect falls before they happen, reducing the risk of injury and improving patient outcomes. VSTBalance is a balance assessment tool that helps clinicians identify patients at risk of falling and provides personalized exercises to improve their balance and mobility. VirtuSense's solutions integrate with various healthcare systems and are used by hospitals, post-acute care facilities, and ambulatory care centers to improve patient care and reduce costs.

Voicepen is an AI-powered tool that converts audio recordings into high-quality blog posts. It uses advanced speech recognition and natural language processing technologies to accurately transcribe and format your audio content into well-written, SEO-optimized blog posts. With Voicepen, you can easily create engaging and informative blog content without spending hours writing and editing.

Voilà is an AI-powered browser assistant that helps users create high-quality content, improve their writing, brainstorm ideas, and research topics. It offers a wide range of features, including a library of expert-crafted prompts, the ability to convert web pages into various types of content, and access to real-time information from across the web. Voilà is available as a browser extension for Chrome, Edge, Firefox, Safari, and Brave, as well as a mobile app for iOS and Android.

Logiclister AI is a powerful tool that can help you create high-quality content for your business. With over 50 AI tools to choose from, you can easily create product descriptions, blog posts, social media posts, and more. Logiclister AI is powered by OpenAI, so you can be sure that you're getting the best possible results. Whether you're a small business owner, a freelancer, or a student, Logiclister AI can help you save time and create better content.

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.

DevQualityEval is an evaluation benchmark and framework designed to compare and improve the quality of code generation of Language Model Models (LLMs). It provides developers with a standardized benchmark to enhance real-world usage in software development and offers users metrics and comparisons to assess the usefulness of LLMs for their tasks. The tool evaluates LLMs' performance in solving software development tasks and measures the quality of their results through a point-based system. Users can run specific tasks, such as test generation, across different programming languages to evaluate LLMs' language understanding and code generation capabilities.

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.

The LLM-Aided OCR Project is an advanced system that enhances Optical Character Recognition (OCR) output by leveraging natural language processing techniques and large language models. It offers features like PDF to image conversion, OCR using Tesseract, error correction using LLMs, smart text chunking, markdown formatting, duplicate content removal, quality assessment, support for local and cloud-based LLMs, asynchronous processing, detailed logging, and GPU acceleration. The project provides detailed technical overview, text processing pipeline, LLM integration, token management, quality assessment, logging, configuration, and customization. It requires Python 3.12+, Tesseract OCR engine, PDF2Image library, PyTesseract, and optional OpenAI or Anthropic API support for cloud-based LLMs. The installation process involves setting up the project, installing dependencies, and configuring environment variables. Users can place a PDF file in the project directory, update input file path, and run the script to generate post-processed text. The project optimizes processing with concurrent processing, context preservation, and adaptive token management. Configuration settings include choosing between local or API-based LLMs, selecting API provider, specifying models, and setting context size for local LLMs. Output files include raw OCR output and LLM-corrected text. Limitations include performance dependency on LLM quality and time-consuming processing for large documents.

Translate texts in manga/images. Some manga/images will never be translated, therefore this project is born. * Image/Manga Translator * Samples * Online Demo * Disclaimer * Installation * Pip/venv * Poetry * Additional instructions for **Windows** * Docker * Hosting the web server * Using as CLI * Setting Translation Secrets * Using with Nvidia GPU * Building locally * Usage * Batch mode (default) * Demo mode * Web Mode * Api Mode * Related Projects * Docs * Recommended Modules * Tips to improve translation quality * Options * Language Code Reference * Translators Reference * GPT Config Reference * Using Gimp for rendering * Api Documentation * Synchronous mode * Asynchronous mode * Manual translation * Next steps * Support Us * Thanks To All Our Contributors :

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.

The AI Toolkit by Ostris is a collection of tools for machine learning, specifically designed for image generation, LoRA (latent representations of attributes) extraction and manipulation, and model training. It provides a user-friendly interface and extensive documentation to make it accessible to both developers and non-developers. The toolkit is actively under development, with new features and improvements being added regularly. Some of the key features of the AI Toolkit include: - Batch Image Generation: Allows users to generate a batch of images based on prompts or text files, using a configuration file to specify the desired settings. - LoRA (lierla), LoCON (LyCORIS) Extractor: Facilitates the extraction of LoRA and LoCON representations from pre-trained models, enabling users to modify and manipulate these representations for various purposes. - LoRA Rescale: Provides a tool to rescale LoRA weights, allowing users to adjust the influence of specific attributes in the generated images. - LoRA Slider Trainer: Enables the training of LoRA sliders, which can be used to control and adjust specific attributes in the generated images, offering a powerful tool for fine-tuning and customization. - Extensions: Supports the creation and sharing of custom extensions, allowing users to extend the functionality of the toolkit with their own tools and scripts. - VAE (Variational Auto Encoder) Trainer: Facilitates the training of VAEs for image generation, providing users with a tool to explore and improve the quality of generated images. The AI Toolkit is a valuable resource for anyone interested in exploring and utilizing machine learning for image generation and manipulation. Its user-friendly interface, extensive documentation, and active development make it an accessible and powerful tool for both beginners and experienced users.

The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.

The LLM Prompt Tuning Playbook is a comprehensive guide for improving the performance of post-trained Language Models (LLMs) through effective prompting strategies. It covers topics such as pre-training vs. post-training, considerations for prompting, a rudimentary style guide for prompts, and a procedure for iterating on new system instructions. The playbook emphasizes the importance of clear, concise, and explicit instructions to guide LLMs in generating desired outputs. It also highlights the iterative nature of prompt development and the need for systematic evaluation of model responses.

CodiumAI Cover Agent is a tool designed to help increase code coverage by automatically generating qualified tests to enhance existing test suites. It utilizes Generative AI to streamline development workflows and is part of a suite of utilities aimed at automating the creation of unit tests for software projects. The system includes components like Test Runner, Coverage Parser, Prompt Builder, and AI Caller to simplify and expedite the testing process, ensuring high-quality software development. Cover Agent can be run via a terminal and is planned to be integrated into popular CI platforms. The tool outputs debug files locally, such as generated_prompt.md, run.log, and test_results.html, providing detailed information on generated tests and their status. It supports multiple LLMs and allows users to specify the model to use for test generation.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases), perform root cause analysis on failure cases and give insights on how to resolve them.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

An open-source AI assistant for taking meeting notes that captures live meeting audio, transcribes it in real-time, and generates summaries while ensuring user privacy. Perfect for teams to focus on discussions while automatically capturing and organizing meeting content without external servers or complex infrastructure. Features include modern UI, real-time audio capture, speaker diarization, local processing for privacy, and more. The tool also offers a Rust-based implementation for better performance and native integration, with features like live transcription, speaker diarization, and a rich text editor for notes. Future plans include database connection for saving meeting minutes, improving summarization quality, and adding download options for meeting transcriptions and summaries. The backend supports multiple LLM providers through a unified interface, with configurations for Anthropic, Groq, and Ollama models. System architecture includes core components like audio capture service, transcription engine, LLM orchestrator, data services, and API layer. Prerequisites for setup include Node.js, Python, FFmpeg, and Rust. Development guidelines emphasize project structure, testing, documentation, type hints, and ESLint configuration. Contributions are welcome under the MIT License.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project caches pre-generated model results to reduce response time for similar requests and enhance user experience. It integrates various embedding frameworks and local storage options, offering functionalities like cache-writing, cache-querying, and cache-clearing through RESTful API. The tool supports multi-tenancy, system commands, and multi-turn dialogue, with features for data isolation, database management, and model loading schemes. Future developments include data isolation based on hyperparameters, enhanced system prompt partitioning storage, and more versatile embedding models and similarity evaluation algorithms.

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

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project facilitates sharing and exchanging technologies related to large model semantic cache through open-source collaboration.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

VideoTuna is a codebase for text-to-video applications that integrates multiple AI video generation models for text-to-video, image-to-video, and text-to-image generation. It provides comprehensive pipelines in video generation, including pre-training, continuous training, post-training, and fine-tuning. The models in VideoTuna include U-Net and DiT architectures for visual generation tasks, with upcoming releases of a new 3D video VAE and a controllable facial video generation model.

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

Create effective SEO content outlines for blog post to improve their website's search engine ranking.

Assists master's students in English study with advanced focus

Explains 'Tree-Driven Interaction' blog, with Dev Day context.

Expert in creating concise, SEO-friendly meta tags for blog posts.

A friendly GPT that helps generate content on social media that's engaging with your followers.

A specialized assistant for enhancing blog posts and chapters.

I create and research for top-notch LinkedIn posts

Specializes in crafting Xiaohongshu post titles and content with effective headline techniques and writing styles.

Genero quattro bozze per un post Threads a partire dal link di un articolo. 👇 Incolla direttamente il link senza scrivere altro e premi invio

A virtual coach for digital photography techniques and post-processing.

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Expert in viral tweets, diverse post types, and image ideas.

Get more traffic from a full SEO briefing for your next article or blog post. It works for any keyword phrase and it's gonna perfectly fit into your website's authority topics.

SNS に投稿する内容が炎上しないかを分析・アドバイスします。 Neutral advisor for social media post analysis

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Crafts Detailed Prompts for GPT Creation