Best AI tools for< Explore Pruning Methods >

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The website page is a platform for Android apps available on Google Play. It features a wide range of games, movies, books, and kids' content. Users can explore and download various apps, make in-app purchases, and stay updated on new releases and events. The site caters to entertainment enthusiasts and gamers looking for diverse digital content to enjoy on their devices.

Google DeepMind is a British artificial intelligence research laboratory owned by Google. The company was founded in 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman. DeepMind's mission is to develop safe and beneficial artificial intelligence. The company's research focuses on a variety of topics, including machine learning, reinforcement learning, and computer vision. DeepMind has made significant contributions to the field of artificial intelligence, including the development of AlphaGo, the first computer program to defeat a professional human Go player.

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Unstable Diffusion is a blog platform that focuses on providing insightful and engaging content related to various topics such as technology, science, lifestyle, and more. The platform aims to create a community of readers who are passionate about learning and exploring new ideas. With a user-friendly interface and a diverse range of articles, Unstable Diffusion offers a unique reading experience for individuals seeking knowledge and inspiration.

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Slang Thesaurus is an AI tool designed to help users explore modern slang words and phrases. It allows users to find synonyms and antonyms of any word and offers an AI Slang Translator feature. The tool aims to be a comprehensive guide for understanding modern slang, providing accurate correlations and respecting user privacy.

Muah AI is an online platform that allows users to explore, like, and share community-created AI character cards. Users can interact with thousands of AI characters, created by the community, and engage in various activities such as competitions and awards. The platform offers a diverse range of characters across different categories, catering to a wide audience. Users can also upload their own AI characters, download characters, and participate in the community by leaving comments and engaging with other users. Muah AI provides a creative space for users to share their love for AI characters and explore endless possibilities beyond the platform.

StoryChan is an AI application that offers interactive role-play scenarios with AI characters in various genres like romance, adventure, fantasy, sci-fi, and horror. Users can engage in chat conversations with virtual characters, exploring complex relationships and storylines. The platform provides a unique and immersive experience for users to interact with AI-generated personalities and navigate through intriguing narratives.

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Mondonomo is an AI tool that helps users explore the origins and meanings of names. Users can input their name or surname to discover information such as the countries where their name is common, transliterations, variants, famous people with the same name, and more. The platform also offers articles on onomastics, name science, and business solutions related to names. Additionally, users can design personalized wordclouds using the AI Wordcloud feature.

GPTE is a free directory of over 5,000 AI tools covering various categories such as code, video, writing, productivity, design, image, audio, assistant, lifestyle, business, education, gaming, and more. Users can search for AI tools, ask the bot for help, and discover the latest tools and trends in AI. The platform features a wide range of AI-powered applications designed to assist users in different tasks and projects.

Stable Diffusion XL (SDXL) is the latest AI image generation model that can generate realistic faces, legible text within the images, and better image composition, all while using shorter and simpler prompts. It is an improved version of the previous Stable Diffusion models, with better photorealistic outputs, more detailed imagery, and improved face generation. SDXL is available via DreamStudio and other image generation apps like NightCafe Studio and ClipDrop. It can be used for a variety of tasks, including image generation, image-to-image prompting, inpainting, and outpainting.

The website offers a platform for users to create history timelines. Users can easily create and view top verified timelines on various historical topics. It provides a user-friendly interface for organizing historical events in chronological order, allowing users to visualize and understand the sequence of events over time.

ChatX is a free prompt marketplace that offers ChatGPT, DALL·E, Stable Diffusion, and Midjourney AI tools. It provides a platform for users to easily find generative AI prompts for their projects, helping to enhance creativity and productivity. The marketplace also offers a variety of AI-inspired gifts and products for individuals passionate about AI.

Emergent Mind is a website that provides access to trending AI papers. Users can browse papers by category, week, month, or year. The website also provides summaries of trending AI papers on Twitter.

Stackviv is a free Generative AI Tools Directory that aims to provide access to the best AI websites, their features, and alternatives. The platform shares expertise through tutorials and resources, offering a curated list of 7000+ AI tools across 400+ AI categories. Users can explore AI-powered tools for content creation, marketing, communication, photo editing, and more. Stackviv prioritizes upholding editorial standards to deliver accurate and insightful content to its audience.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

Awesome-Jailbreak-on-LLMs is a collection of state-of-the-art, novel, and exciting jailbreak methods on Large Language Models (LLMs). The repository contains papers, codes, datasets, evaluations, and analyses related to jailbreak attacks on LLMs. It serves as a comprehensive resource for researchers and practitioners interested in exploring various jailbreak techniques and defenses in the context of LLMs. Contributions such as additional jailbreak-related content, pull requests, and issue reports are welcome, and contributors are acknowledged. For any inquiries or issues, contact [email protected]. If you find this repository useful for your research or work, consider starring it to show appreciation.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

OpenRedTeaming is a repository focused on red teaming for generative models, specifically large language models (LLMs). The repository provides a comprehensive survey on potential attacks on GenAI and robust safeguards. It covers attack strategies, evaluation metrics, benchmarks, and defensive approaches. The repository also implements over 30 auto red teaming methods. It includes surveys, taxonomies, attack strategies, and risks related to LLMs. The goal is to understand vulnerabilities and develop defenses against adversarial attacks on large language models.

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

Awesome LLM compression research papers and tools to accelerate LLM training and inference.

A collection of papers related to knowledge distillation of large language models (LLMs). The repository focuses on techniques to transfer advanced capabilities from proprietary LLMs to smaller models, compress open-source LLMs, and refine their performance. It covers various aspects of knowledge distillation, including algorithms, skill distillation, verticalization distillation in fields like law, medical & healthcare, finance, science, and miscellaneous domains. The repository provides a comprehensive overview of the research in the area of knowledge distillation of LLMs.

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)

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

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.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and applications. It discusses current limitations and future directions in efficient MLLM research.

Efficient Foundation Model Survey is a comprehensive analysis of resource-efficient large language models (LLMs) and multimodal foundation models. The survey covers algorithmic and systemic innovations to support the growth of large models in a scalable and environmentally sustainable way. It explores cutting-edge model architectures, training/serving algorithms, and practical system designs. The goal is to provide insights on tackling resource challenges posed by large foundation models and inspire future breakthroughs in the field.

Efficient Multimodal Large Language Models: A Survey provides a comprehensive review of efficient and lightweight Multimodal Large Language Models (MLLMs), focusing on model size reduction and cost efficiency for edge computing scenarios. The survey covers the timeline of efficient MLLMs, research on efficient structures and strategies, and their applications, while also discussing current limitations and future directions.

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