Best AI tools for< Patch Existing Models >

Meeko.ai is a 24/7 AI Coach for League of Legends players, offering personalized coaching, draft suggestions, matchup advice, and more. It provides data-proven build recommendations, tier lists, counter picks, and micro & macro tips to help players improve their gameplay. Meeko uses the latest data and patch information to assist gamers in navigating through various ranks and enhancing their performance. Additionally, Meeko offers session summaries, pre-game insights, and learning objectives to help players track their progress and focus on improvement.

Pitch is a presentation software designed for fast-moving teams. It offers a range of features to help users create, edit, and share presentations quickly and easily. Pitch also includes AI-powered tools to help users generate content and design slides. With Pitch, teams can collaborate on presentations in real time, track engagement, and get insights into how their presentations are performing.

Pitch N Hire is an AI-powered Applicant Tracking & Assessment Software designed to assist recruiters in enhancing their talent decisions. The platform offers a robust data-driven approach with descriptive, predictive, and prescriptive analytics to address talent acquisition challenges. It provides insights into candidate behavior, automated processes, and a vast network of career sites. With advanced AI data models, the software forecasts on-the-job performance, streamlines talent pipelines, and offers personalized branded experiences for candidates.

Pitch Avatar is an AI-based platform that transforms content into leads and deals by making slides interactive and delivering them effectively. It helps in increasing leads, demo calls, and user engagement across sales, marketing, onboarding, training, and other content. The platform is designed to hit business goals by enabling sales enablement, marketing, outreach, and corporate learning. It offers integrations with Google Drive, YouTube, PPTX, PDF, HubSpot, Salesforce, Gmail, Outlook, LinkedIn, and Zapier for seamless workflow automation.

Pitch Patterns is an AI-powered Quality Control platform designed for teams analyzing sales and customer service calls to enhance close rates and CSAT scores. The platform offers innovative features such as Social Skill Markers, Conversation Analysis, and AI Tracking to provide valuable insights and improve agent performance. With integration capabilities with popular CRM systems like Salesforce and Pipedrive, Pitch Patterns aims to revolutionize call center excellence through AI analytics.

House of Pitch is an AI-powered platform designed to streamline the pitching process for individuals looking to share news, services, or ideas with journalists and investors. The platform allows users to create short pitches quickly, target specific recipients from a curated list, and receive prompt feedback in the form of a Yes or No answer. With an average acceptance rate above 30%, House of Pitch aims to facilitate meaningful connections between pitchers and recipients while ensuring compliance with personal data regulations.

Pitch Pilot is an AI-powered tool designed to help freelancers on Upwork stay ahead of the competition by providing real-time job alerts and generating tailored proposals on-the-go. With features like real-time job alerts, AI-generated proposals, customizable adjustments, and affordable pricing plans, Pitch Pilot aims to streamline the process of finding and applying for freelance jobs on Upwork. By leveraging AI technology, freelancers can increase their chances of landing interviews and winning projects on the platform.

Story Path is an AI-powered book planning and writer's block cure app. It helps writers plan their stories, generate fresh ideas, and overcome writer's block. With Story Path, writers can input a brief description of their story and the app will generate branching options for the plot. Writers can then expand and explore their favorite paths and customize the details to their liking. Story Path is a valuable tool for writers of all levels, from beginners to published authors.

My Pitch Deck is an AI-powered platform that helps startups create custom pitch decks. With just a few clicks, you can generate a 10-slide pitch deck tailored to your specific needs. Our AI will ask you a series of questions about your startup, and then use that information to create a deck that is both informative and persuasive. In addition to the pitch deck, you'll also receive a list of 15 investor questions that you can expect to be asked, as well as 10 personal tips and tricks to help you nail your pitch. My Pitch Deck is the perfect tool for startups who want to save time and create a professional-looking pitch deck that will help them raise funding.

Cold Pitch is an AI-powered tool designed to streamline the process of cold email outreach. It offers personalized email generation based on prospect analysis, helping users increase response rates and sales conversions. The tool automates hours of research, crafts impactful messages, and maximizes reply rates. With features like hyper-personalization, in-depth research, and cost-effectiveness, Cold Pitch aims to simplify the workflow and enhance engagement for sales professionals. The application is trusted by 500+ brands worldwide and is known for its efficiency and effectiveness in cold email campaigns.

Pitches.ai is an AI Pitch Deck Generator that helps founders and sales leads raise capital and close deals by generating AI-powered pitch decks. The platform offers better design, light and dark themes, AI-generated images, charts, and lower pricing, allowing users to create professional pitch presentations in minutes. Pitches.ai also provides expert services for pitch development and offers a range of resources to support users in crafting compelling pitches.

Creators is a website that offers a service to create pitch decks for startups and growing businesses. They specialize in creating visually stunning and impactful pitch decks that tell the story of the business and capture the attention of investors. They use a data-driven approach to storytelling, incorporating relevant data and analytics to back up the idea and prove its potential to investors. They also use artificial intelligence to identify the most compelling way to present the information, ensuring that the pitch deck is not just informative, but also engaging. Creators has a team of expert designers who excel at transforming complex ideas into clear, understandable visuals that are both stunning and highly effective in communicating the message to potential investors.

JournoPitch AI is a pitch template generator powered by AI that helps experts and businesses connect with journalists to secure media coverage. It allows users to find expert requests from various portals and generate professional pitches in seconds, increasing their chances of media coverage and enhancing their brand reputation. The platform caters to content creators, businesses without PR agencies, marketing/SEO/PR professionals, product marketers, e-commerce stores, and DTC brands, offering them a way to scale their media presence and boost their authority through earned media.

LiftMyPitch is an AI-powered Pitch Deck Analysis tool developed by AE Studio. It offers a platform where users can upload their pitch decks to receive instant AI-driven feedback to enhance their presentations, impress investors, and elevate their storytelling. The tool provides detailed insights on the structure, narrative, and design of the pitch deck, along with tailored recommendations to refine slides, storytelling, and data presentation. Users can benefit from seamless upload, real-time feedback, and actionable tips to perfect their pitch decks, ultimately helping startups thrive and turn bold ideas into reality.

Scribbr is an AI-powered academic writing tool that offers a range of services to help students achieve academic success. It provides proofreading and editing services, plagiarism checking, citation generation, AI content detection, and a knowledge base with resources for academic writing. Scribbr aims to support students on their journey to become better academic writers by providing the right tools for success.

Vmake AI is an all-in-one talking head video solution that offers a range of AI tools to create stunning images and videos. Users can enhance video quality, remove watermarks and subtitles, reduce noise, remove backgrounds, and generate AI videos effortlessly. The platform is designed to cater to various needs, from content creators to e-commerce businesses, providing powerful tools to boost video quality and engagement. Vmake AI's mobile solution allows users to create and manage spoken videos directly from their mobile devices, offering flexibility and convenience in content creation. The platform also features customer stories from influencers, marketers, commercial staff, freelancers, online teachers, and religious promoters who have benefited from its efficient video editing capabilities.

Pitchleague.ai is an AI-powered pitch deck coach that provides slide-by-slide feedback on how to improve your startup's pitch deck. It also scores your deck's investability and allows you to compare your deck to other startups. Pitchleague.ai is used by over 3000 founders and has helped many startups to improve their fundraising success.

Beemer is an AI-powered pitch deck generator that helps startups create professional presentations quickly and efficiently. With Beemer, you can create a complete Google Slides or PowerPoint presentation with just a brief description of your business. Beemer's sleek and minimalistic slide deck template is designed to impress, with a focus on your content. You can also collaborate with your team using the tools you already know and love, with easy export to Google Slides or PowerPoint for seamless presentation delivery.

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.

The Japanese Name Generator is an AI-powered tool that generates authentic Japanese names with cultural significance. It utilizes AI technology to create names that reflect Japanese naming conventions and societal values. The tool aims to provide users with a seamless experience in exploring and appreciating the depth of Japanese naming traditions, making it easier for people worldwide to engage with this aspect of Japanese culture.

Liger Kernel is a collection of Triton kernels designed for LLM training, increasing training throughput by 20% and reducing memory usage by 60%. It includes Hugging Face Compatible modules like RMSNorm, RoPE, SwiGLU, CrossEntropy, and FusedLinearCrossEntropy. The tool works with Flash Attention, PyTorch FSDP, and Microsoft DeepSpeed, aiming to enhance model efficiency and performance for researchers, ML practitioners, and curious novices.

Ling is a MoE LLM provided and open-sourced by InclusionAI. It includes two different sizes, Ling-Lite with 16.8 billion parameters and Ling-Plus with 290 billion parameters. These models show impressive performance and scalability for various tasks, from natural language processing to complex problem-solving. The open-source nature of Ling encourages collaboration and innovation within the AI community, leading to rapid advancements and improvements. Users can download the models from Hugging Face and ModelScope for different use cases. Ling also supports offline batched inference and online API services for deployment. Additionally, users can fine-tune Ling models using Llama-Factory for tasks like SFT and DPO.

This repository is a collection of resources focused on interpretability in large language models (LLMs). It aims to help beginners get started in the area and keep researchers updated on the latest progress. It includes libraries, blogs, tutorials, forums, tools, programs, papers, and more related to interpretability in LLMs.

horde-engine is a wrapper around ComfyUI designed to run inference pipelines visually designed in the ComfyUI GUI. It enables users to design inference pipelines in ComfyUI and then call them programmatically, maintaining compatibility with the existing horde implementation. The library provides features for processing Horde payloads, initializing the library, downloading and validating models, and generating images based on input data. It also includes custom nodes for preprocessing and tasks such as face restoration and QR code generation. The project depends on various open source projects and bundles some dependencies within the library itself. Users can design ComfyUI pipelines, convert them to the backend format, and run them using the run_image_pipeline() method in hordelib.comfy.Comfy(). The project is actively developed and tested using git, tox, and a specific model directory structure.

The repository 'Awesome-LLM4Cybersecurity' provides a comprehensive overview of the applications of Large Language Models (LLMs) in cybersecurity. It includes a systematic literature review covering topics such as constructing cybersecurity-oriented domain LLMs, potential applications of LLMs in cybersecurity, and research directions in the field. The repository analyzes various benchmarks, datasets, and applications of LLMs in cybersecurity tasks like threat intelligence, fuzzing, vulnerabilities detection, insecure code generation, program repair, anomaly detection, and LLM-assisted attacks.

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.

EVE is an official PyTorch implementation of Unveiling Encoder-Free Vision-Language Models. The project aims to explore the removal of vision encoders from Vision-Language Models (VLMs) and transfer LLMs to encoder-free VLMs efficiently. It also focuses on bridging the performance gap between encoder-free and encoder-based VLMs. EVE offers a superior capability with arbitrary image aspect ratio, data efficiency by utilizing publicly available data for pre-training, and training efficiency with a transparent and practical strategy for developing a pure decoder-only architecture across modalities.

org-ai is a minor mode for Emacs org-mode that provides access to generative AI models, including OpenAI API (ChatGPT, DALL-E, other text models) and Stable Diffusion. Users can use ChatGPT to generate text, have speech input and output interactions with AI, generate images and image variations using Stable Diffusion or DALL-E, and use various commands outside org-mode for prompting using selected text or multiple files. The tool supports syntax highlighting in AI blocks, auto-fill paragraphs on insertion, and offers block options for ChatGPT, DALL-E, and other text models. Users can also generate image variations, use global commands, and benefit from Noweb support for named source blocks.

Janus is a series of unified multimodal understanding and generation models, including Janus-Pro, Janus, and JanusFlow. Janus-Pro is an advanced version that improves both multimodal understanding and visual generation significantly. Janus decouples visual encoding for unified multimodal understanding and generation, surpassing previous models. JanusFlow harmonizes autoregression and rectified flow for unified multimodal understanding and generation, achieving comparable or superior performance to specialized models. The models are available for download and usage, supporting a broad range of research in academic and commercial communities.

The 'unilm' repository is a collection of tools, models, and architectures for Foundation Models and General AI, focusing on tasks such as NLP, MT, Speech, Document AI, and Multimodal AI. It includes various pre-trained models, such as UniLM, InfoXLM, DeltaLM, MiniLM, AdaLM, BEiT, LayoutLM, WavLM, VALL-E, and more, designed for tasks like language understanding, generation, translation, vision, speech, and multimodal processing. The repository also features toolkits like s2s-ft for sequence-to-sequence fine-tuning and Aggressive Decoding for efficient sequence-to-sequence decoding. Additionally, it offers applications like TrOCR for OCR, LayoutReader for reading order detection, and XLM-T for multilingual NMT.

DuoAttention is a framework designed to optimize long-context large language models (LLMs) by reducing memory and latency during inference without compromising their long-context abilities. It introduces a concept of Retrieval Heads and Streaming Heads to efficiently manage attention across tokens. By applying a full Key and Value (KV) cache to retrieval heads and a lightweight, constant-length KV cache to streaming heads, DuoAttention achieves significant reductions in memory usage and decoding time for LLMs. The framework uses an optimization-based algorithm with synthetic data to accurately identify retrieval heads, enabling efficient inference with minimal accuracy loss compared to full attention. DuoAttention also supports quantization techniques for further memory optimization, allowing for decoding of up to 3.3 million tokens on a single GPU.

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.

Instructor is a popular Python library for managing structured outputs from large language models (LLMs). It offers a user-friendly API for validation, retries, and streaming responses. With support for various LLM providers and multiple languages, Instructor simplifies working with LLM outputs. The library includes features like response models, retry management, validation, streaming support, and flexible backends. It also provides hooks for logging and monitoring LLM interactions, and supports integration with Anthropic, Cohere, Gemini, Litellm, and Google AI models. Instructor facilitates tasks such as extracting user data from natural language, creating fine-tuned models, managing uploaded files, and monitoring usage of OpenAI models.

CodeLLM Paper repository provides a curated list of research papers focused on Large Language Models (LLMs) for code. It aims to facilitate researchers and practitioners in exploring the rapidly growing body of literature on this topic. The papers are systematically collected from various top-tier venues, categorized, and labeled for easier navigation. The selection strategy involves abstract extraction, keyword matching, relevance check using LLMs, and manual labeling. The papers are categorized based on Application, Principle, and Research Paradigm dimensions. Contributions to expand the repository are welcome through PR submission, issue submission, or request for batch updates. The repository is intended solely for research purposes, with raw data sourced from publicly available information on ACM, IEEE, and corresponding conference websites.

Evedel is an Emacs package designed to streamline the interaction with LLMs during programming. It aims to reduce manual code writing by creating detailed instruction annotations in the source files for LLM models. The tool leverages overlays to track instructions, categorize references with tags, and provide a seamless workflow for managing and processing directives. Evedel offers features like saving instruction overlays, complex query expressions for directives, and easy navigation through instruction overlays across all buffers. It is versatile and can be used in various types of buffers beyond just programming buffers.

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