Best AI tools for< Patching Holes >

Hell's Pitching is an AI-powered assistant designed to help entrepreneurs refine their startup ideas by providing brutally honest feedback and insightful questions. It offers a unique approach to challenging and guiding founders in building better startups. Users can pitch their ideas and receive side-splittingly funny roasts that lead to innovative insights and 'aha' moments. The tool operates 24/7, allowing users to brainstorm and get roasted at any time. With a focus on no-nonsense critiques and wisdom beneath the roast, Hell's Pitching aims to transform startup ideas through humor and honesty.

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.

PitchBob is an AI-powered platform that helps entrepreneurs and startups create professional pitch decks, business plans, and other essential documents. It offers a range of features, including AI-generated content, customizable templates, and expert guidance, to help users present their ideas effectively to investors and other stakeholders. PitchBob also provides access to a network of investors, accelerators, and other resources to support startups in their growth journey.

Kroma is an AI-powered platform that offers expert PowerPoint slides for businesses and startups. It provides smart templates, AI features, and expert content to help users create persuasive pitches, showcase ideas, present data, and propose B2B services. With Kroma, users can easily create eye-catching charts and graphs, access a wide range of creative assets, and utilize data visualization tools to enhance their presentations.

Press Ranger is an AI-powered PR tool that makes building media lists and pitching journalists painless. It offers a massive database of over 500,000 journalists and publishers, and uses AI tools to create media lists and run outreach campaigns. Press Ranger also provides real-time analytics to track and optimize PR efforts.

PitchPower is an AI-powered workflow tool designed for freelancers, agencies, and service firms to streamline the process of prospecting, pitching, and proposing. By leveraging AI technology, PitchPower helps users create tailored proposals, discover leads, manage documents, and collaborate efficiently. The tool aims to supercharge the proposal process by saving time and enhancing the quality of proposals through intelligent automation.

JARS.AI is an interactive AI platform that offers a variety of AI-powered shows and services. Users can create custom shows, submit topics, and access different community shows. The platform features AI applications such as Fortune Teller AI, JARS Court AI, Love AIsland, Negotiator AI, and News Room AI. Users can engage in activities like pitching inventions, seeking relationship advice, getting their fortune told, and generating AI news. JARS.AI provides a unique and entertaining experience through its diverse range of AI functionalities and interactive shows.

Interior Render AI is an AI-powered interior design tool that allows users to generate high-quality interior design renderings in various styles based on reference images. Users can upload indoor photos or design sketches and provide a natural language description of their desired style. The AI will then generate realistic and visually appealing renderings that can be used for inspiration, communication, and idea pitching. Interior Render AI is a valuable tool for interior designers, architects, and anyone looking to redesign their space.

Awesome-LLM-Interpretability is a curated list of materials related to LLM (Large Language Models) interpretability, covering tutorials, code libraries, surveys, videos, papers, and blogs. It includes resources on transformer mechanistic interpretability, visualization, interventions, probing, fine-tuning, feature representation, learning dynamics, knowledge editing, hallucination detection, and redundancy analysis. The repository aims to provide a comprehensive overview of tools, techniques, and methods for understanding and interpreting the inner workings of large language models.

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.

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.

PatchWork is an open-source framework designed for automating development tasks using large language models. It enables users to automate workflows such as PR reviews, bug fixing, security patching, and more through a self-hosted CLI agent and preferred LLMs. The framework consists of reusable atomic actions called Steps, customizable LLM prompts known as Prompt Templates, and LLM-assisted automations called Patchflows. Users can run Patchflows locally in their CLI/IDE or as part of CI/CD pipelines. PatchWork offers predefined patchflows like AutoFix, PRReview, GenerateREADME, DependencyUpgrade, and ResolveIssue, with the flexibility to create custom patchflows. Prompt templates are used to pass queries to LLMs and can be customized. Contributions to new patchflows, steps, and the core framework are encouraged, with chat assistants available to aid in the process. The roadmap includes expanding the patchflow library, introducing a debugger and validation module, supporting large-scale code embeddings, parallelization, fine-tuned models, and an open-source GUI. PatchWork is licensed under AGPL-3.0 terms, while custom patchflows and steps can be shared using the Apache-2.0 licensed patchwork template repository.

Thinker is an AI improvement mod for Alpha Centauri: Alien Crossfire that enhances single player challenge and gameplay with features like improved production/movement AI, visual changes on map rendering, more config options, resolution settings, and automation features. It includes Scient's patches and requires the GOG version of Alpha Centauri with the official Alien Crossfire patch version 2.0 installed. The mod provides additional DLL features developed in C++ for a richer gaming experience.

Bisheng is a leading open-source **large model application development platform** that empowers and accelerates the development and deployment of large model applications, helping users enter the next generation of application development with the best possible experience.

This repository contains a collection of sample applications and Jupyter Notebooks for hands-on experience with Pinecone vector databases and common AI patterns, tools, and algorithms. It includes production-ready examples for review and support, as well as learning-optimized examples for exploring AI techniques and building applications. Users can contribute, provide feedback, and collaborate to improve the resource.

This repository is a collection of papers focused on understanding the internal mechanism of large language models (LLM). It includes research on topics such as how LLMs handle multilingualism, learn in-context, and handle factual associations. The repository aims to provide insights into the inner workings of transformer-based language models through a curated list of papers and surveys.

AI-HF_Patch is a comprehensive patch for AI-Shoujo that includes all free updates, fan-made English translations, essential mods, and gameplay improvements. It ensures compatibility with character cards and scenes while maintaining the original game's feel. The patch addresses common issues and provides uncensoring options. Users can support development through Patreon. The patch does not include the full game or pirated content, requiring a separate purchase from Steam. Installation is straightforward, with detailed guides available for users.

This repository contains scripts for installing HPC and AI libraries and tools to build Azure HPC/AI images. It streamlines the process of provisioning compute-intensive workloads and crafting advanced AI models in the cloud, ensuring efficiency and reliability in deployments.

AI Coding Assistant is a free and open-source IntelliJ plugin that leverages cutting-edge Language Model APIs to enhance developers' coding experience. It seamlessly integrates with various leading LLM APIs, offers an intuitive toolbar UI, and allows granular control over API requests. With features like Code & Patch Chat, Planning with AI Agents, Markdown visualization, and versatile text processing capabilities, this tool aims to streamline coding workflows and boost productivity.

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)

Unsloth is a tool that allows users to fine-tune large language models (LLMs) 2-5x faster with 80% less memory. It is a free and open-source tool that can be used to fine-tune LLMs such as Gemma, Mistral, Llama 2-5, TinyLlama, and CodeLlama 34b. Unsloth supports 4-bit and 16-bit QLoRA / LoRA fine-tuning via bitsandbytes. It also supports DPO (Direct Preference Optimization), PPO, and Reward Modelling. Unsloth is compatible with Hugging Face's TRL, Trainer, Seq2SeqTrainer, and Pytorch code. It is also compatible with NVIDIA GPUs since 2018+ (minimum CUDA Capability 7.0).

HQQ is a fast and accurate model quantizer that skips the need for calibration data. It's super simple to implement (just a few lines of code for the optimizer). It can crunch through quantizing the Llama2-70B model in only 4 minutes! 🚀

Instructor is a Python library that makes it a breeze to work with structured outputs from large language models (LLMs). Built on top of Pydantic, it provides a simple, transparent, and user-friendly API to manage validation, retries, and streaming responses. Get ready to supercharge your LLM workflows!

aioboto3 is an async AWS SDK for Python that allows users to use near enough all of the boto3 client commands in an async manner just by prefixing the command with `await`. It combines the great work of boto3 and aiobotocore, enabling users to use higher level APIs provided by boto3 in an asynchronous manner. The package provides support for various AWS services such as DynamoDB, S3, Kinesis, SSM Parameter Store, and Athena. It also offers features like client-side encryption using KMS-Managed master keys and supports asyncifying `get_presigned_url`. The library closely mimics the usage of boto3 and is mainly developed to be used in async microservices.

Academic_LLM_Sec_Papers is a curated collection of academic papers related to LLM Security Application. The repository includes papers sorted by conference name and published year, covering topics such as large language models for blockchain security, software engineering, machine learning, and more. Developers and researchers are welcome to contribute additional published papers to the list. The repository also provides information on listed conferences and journals related to security, networking, software engineering, and cryptography. The papers cover a wide range of topics including privacy risks, ethical concerns, vulnerabilities, threat modeling, code analysis, fuzzing, and more.

LLMs4TS is a repository focused on the application of cutting-edge AI technologies for time-series analysis. It covers advanced topics such as self-supervised learning, Graph Neural Networks for Time Series, Large Language Models for Time Series, Diffusion models, Mixture-of-Experts architectures, and Mamba models. The resources in this repository span various domains like healthcare, finance, and traffic, offering tutorials, courses, and workshops from prestigious conferences. Whether you're a professional, data scientist, or researcher, the tools and techniques in this repository can enhance your time-series data analysis capabilities.

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Auto Fundraising is trained on 1000+ VCs info and is expert in building investor pipelines. It can help you in finding the best VCs in your field, can build up a complete investor pipeline and can give you tailored pitching advice to get deals faster.

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Expert at crafting tailored, informative responses to HARO media queries.