Best AI tools for< Mergers And Acquisitions Specialist >

Eilla AI is an AI platform designed to power the M&A, VC, and PE deal workflow by mirroring the expertise of industry professionals to automate mundane tasks and support complex decision-making. It offers early access to firms, an Insider Program for selected companies, and personalized demos to showcase its capabilities.

Études is a pioneering architectural firm that merges creativity and functionality to redefine architectural excellence. They offer a comprehensive suite of professional services catering to a diverse clientele, including renovation, restoration, consulting, project management, and architectural solutions. The firm provides continuous support and access to an array of resources. Collaborate with fellow architects through the Études Architect App and stay updated with thought-provoking articles and case studies via the Études Newsletter.

Archade is an AI-powered marketplace that offers a wide range of creative assets for projects. It features an asset library with CAD blocks, vectors, cutouts, flat icons, and more. Users can also explore generative content through text-to-image generation. Archade aims to provide convenience and inspiration by offering a vast collection of assets for various projects, catering to both enterprise and startup solutions. The platform also provides updates, news, and technical support through its Discord channel.

Inkdrop is an AI-powered application that helps users visualize their cloud infrastructure by automatically generating interactive diagrams of cloud resources and dependencies. It provides a comprehensive overview of infrastructure to speed up onboarding and understand complex resource relationships for effective troubleshooting. With seamless integration, users can effortlessly update documentation via CI pipeline integration. Inkdrop aims to simplify the management of cloud resources and enhance collaboration among team members.

Yet Another Mail Merge (YAMM) is a free tool that allows you to send personalized emails from Gmail using Google Sheets. With YAMM, you can easily create and send mail merge campaigns directly from Gmail, without having to use any complicated software or coding. YAMM is a great tool for businesses and individuals who want to send personalized emails to a large number of people, such as customers, leads, or subscribers.

HiPDF is a free online PDF solution that offers a wide range of tools for editing, converting, compressing, and organizing PDFs. It also includes AI-powered tools such as Chat with PDF and AI Detector. With HiPDF, you can easily edit PDFs in your browser, convert PDFs to and from other formats, compress PDFs to reduce their size, and merge, split, and extract images from PDFs. You can also protect your PDFs with passwords and redact sensitive information. HiPDF is a convenient and easy-to-use tool that can help you with all your PDF needs.

SigniFi is an AI-powered divination platform that combines ancient wisdom with modern technology. Users can interact with AI-driven tarot readers, astrologers, and fortune-tellers for personalized guidance. The platform also allows users to create unique NFTs showcasing their life traits and potential. SigniFi merges AI, blockchain, and traditional divination practices to offer a unique and innovative experience to users.

SkyReels is an AI-powered platform that allows users to unleash their imagination and create epic short films with just one click. The platform merges 3D Engine technology with AI video generation to provide users with a seamless and innovative filmmaking experience. SkyReels is developed by SKYWORK AI PTE. LTD., a leading company in the field of artificial intelligence and video production. The platform is designed to empower users with limited filmmaking experience to create professional-quality short films effortlessly.

ONVY is an AI Health Coach application designed for business professionals and athletes to optimize health and performance. It offers personalized insights and actionable feedback by analyzing data from fitness trackers. Users can manage recovery, sleep, activity, and mental fitness, aiming to achieve peak performance in sports, career, and life. The app merges the latest health and performance science with AI technology to provide users with clear steps to enhance their overall well-being.

**Wondershare: The Leading Software Company for Creativity, Productivity, and Utility** **Video Editing** - Filmora: A powerful and easy-to-use video editor for beginners and professionals alike. - Filmstock: A vast library of royalty-free stock footage, effects, and music. **PDF Solutions** - PDFelement: A comprehensive PDF editor and converter. - PDFelement for iOS: A mobile PDF editor for iOS devices. **Document Cloud** - Document Cloud: A cloud-based platform for managing and sharing documents. **Data Recovery** - Recoverit: A powerful data recovery software for recovering lost files from various devices. **Mobile Transfer** - MobileTrans: A tool for transferring data between mobile devices. - MobileTrans for WhatsApp: A tool for transferring WhatsApp data between Android and iPhone. **Other Tools** - Mutsapper: A tool for recovering WhatsApp messages from Android and iPhone. - PDF Converter Pro: A powerful PDF converter for converting PDF files to various formats. - PDF Editor Pro: A professional PDF editor for creating, editing, and converting PDF files. - PDF Merger: A tool for merging multiple PDF files into a single file. **Why Choose Wondershare?** - Over 20 years of experience in the software industry. - A team of over 1,000 engineers and designers. - Products that are used by over 150 million people worldwide. - A commitment to providing innovative and user-friendly software. **Featured Products** - Filmora: A powerful and easy-to-use video editor for beginners and professionals alike. - PDFelement: A comprehensive PDF editor and converter. - Recoverit: A powerful data recovery software for recovering lost files from various devices. - MobileTrans: A tool for transferring data between mobile devices. **Advantages** - User-friendly interface - Powerful features - Affordable pricing - Excellent customer support **Disadvantages** - Some features may require a subscription - Not all features are available on all platforms - Some users may find the interface to be too cluttered **FAQs** - Q: What is Wondershare? A: Wondershare is a leading software company that provides a wide range of software products for creativity, productivity, and utility. - Q: What are some of Wondershare's most popular products? A: Some of Wondershare's most popular products include Filmora, PDFelement, Recoverit, and MobileTrans. - Q: How much do Wondershare products cost? A: Wondershare products range in price from free to several hundred dollars. The price of a product will vary depending on the features and functionality that it offers. - Q: Where can I buy Wondershare products? A: Wondershare products can be purchased from the Wondershare website or from authorized resellers. - Q: What is Wondershare's customer support like? A: Wondershare offers excellent customer support via email, phone, and live chat.

Morphic Studio is an AI-driven platform that aims to transform the future of storytelling by leveraging advanced machine learning technologies. It offers an intelligent canvas and end-to-end editor that merges AI with user-friendly design, providing tools for creating interactive gaming experiences and crafting inspiring stories in-house. The platform is focused on revolutionizing creative possibilities in visual large-scale models and 3D asset generation, setting a new standard for tech-centric filmmaking.

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.

This repository contains a minimal, clean code implementation of the Byte Pair Encoding (BPE) algorithm, commonly used in LLM tokenization. The BPE algorithm is "byte-level" because it runs on UTF-8 encoded strings. This algorithm was popularized for LLMs by the GPT-2 paper and the associated GPT-2 code release from OpenAI. Sennrich et al. 2015 is cited as the original reference for the use of BPE in NLP applications. Today, all modern LLMs (e.g. GPT, Llama, Mistral) use this algorithm to train their tokenizers. There are two Tokenizers in this repository, both of which can perform the 3 primary functions of a Tokenizer: 1) train the tokenizer vocabulary and merges on a given text, 2) encode from text to tokens, 3) decode from tokens to text. The files of the repo are as follows: 1. minbpe/base.py: Implements the `Tokenizer` class, which is the base class. It contains the `train`, `encode`, and `decode` stubs, save/load functionality, and there are also a few common utility functions. This class is not meant to be used directly, but rather to be inherited from. 2. minbpe/basic.py: Implements the `BasicTokenizer`, the simplest implementation of the BPE algorithm that runs directly on text. 3. minbpe/regex.py: Implements the `RegexTokenizer` that further splits the input text by a regex pattern, which is a preprocessing stage that splits up the input text by categories (think: letters, numbers, punctuation) before tokenization. This ensures that no merges will happen across category boundaries. This was introduced in the GPT-2 paper and continues to be in use as of GPT-4. This class also handles special tokens, if any. 4. minbpe/gpt4.py: Implements the `GPT4Tokenizer`. This class is a light wrapper around the `RegexTokenizer` (2, above) that exactly reproduces the tokenization of GPT-4 in the tiktoken library. The wrapping handles some details around recovering the exact merges in the tokenizer, and the handling of some unfortunate (and likely historical?) 1-byte token permutations. Finally, the script train.py trains the two major tokenizers on the input text tests/taylorswift.txt (this is the Wikipedia entry for her kek) and saves the vocab to disk for visualization. This script runs in about 25 seconds on my (M1) MacBook. All of the files above are very short and thoroughly commented, and also contain a usage example on the bottom of the file.

model-catalog is a repository containing standardized JSON descriptors for Large Language Model (LLM) model files. Each model is described in a JSON file with details about the model, authors, additional resources, available model files, and providers. The format captures factors like model size, architecture, file format, and quantization format. A Github action merges individual JSON files from the `models/` directory into a `catalog.json` file, which is validated using a JSON schema. Contributors can help by adding new model JSON files following the contribution process.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

VedAstro is an open-source Vedic astrology tool that provides accurate astrological predictions and data. It offers a user-friendly website, a chat API, an open API, a JavaScript SDK, a Swiss Ephemeris API, and a machine learning table generator. VedAstro is free to use and is constantly being updated with new features and improvements.

ASTRA is an open-source platform designed for developing applications utilizing large language models. It merges the ideas of Backend-as-a-Service and LLM operations, allowing developers to swiftly create production-ready generative AI applications. Additionally, it empowers non-technical users to engage in defining and managing data operations for AI applications. With ASTRA, you can easily create real-time, multi-modal AI applications with low latency, even without any coding knowledge.

LLM-Blender is a framework for ensembling large language models (LLMs) to achieve superior performance. It consists of two modules: PairRanker and GenFuser. PairRanker uses pairwise comparisons to distinguish between candidate outputs, while GenFuser merges the top-ranked candidates to create an improved output. LLM-Blender has been shown to significantly surpass the best LLMs and baseline ensembling methods across various metrics on the MixInstruct benchmark dataset.

LL3DA is a Large Language 3D Assistant that responds to both visual and textual interactions within complex 3D environments. It aims to help Large Multimodal Models (LMM) comprehend, reason, and plan in diverse 3D scenes by directly taking point cloud input and responding to textual instructions and visual prompts. LL3DA achieves remarkable results in 3D Dense Captioning and 3D Question Answering, surpassing various 3D vision-language models. The code is fully released, allowing users to train customized models and work with pre-trained weights. The tool supports training with different LLM backends and provides scripts for tuning and evaluating models on various tasks.

MooER (摩耳) is an LLM-based speech recognition and translation model developed by Moore Threads. It allows users to transcribe speech into text (ASR) and translate speech into other languages (AST) in an end-to-end manner. The model was trained using 5K hours of data and is now also available with an 80K hours version. MooER is the first LLM-based speech model trained and inferred using domestic GPUs. The repository includes pretrained models, inference code, and a Gradio demo for a better user experience.

Mergekit is a toolkit for merging pre-trained language models. It uses an out-of-core approach to perform unreasonably elaborate merges in resource-constrained situations. Merges can be run entirely on CPU or accelerated with as little as 8 GB of VRAM. Many merging algorithms are supported, with more coming as they catch my attention.

Middleware is an open-source engineering management tool that helps engineering leaders measure and analyze team effectiveness using DORA metrics. It integrates with CI/CD tools, automates DORA metric collection and analysis, visualizes key performance indicators, provides customizable reports and dashboards, and integrates with project management platforms. Users can set up Middleware using Docker or manually, generate encryption keys, set up backend and web servers, and access the application to view DORA metrics. The tool calculates DORA metrics using GitHub data, including Deployment Frequency, Lead Time for Changes, Mean Time to Restore, and Change Failure Rate. Middleware aims to provide DORA metrics to users based on their Git data, simplifying the process of tracking software delivery performance and operational efficiency.

Tiny-Predictive-Text is a demonstration of predictive text without an LLM, using permy.link. It provides a detailed description of the tool, including its features, benefits, and how to use it. The tool is suitable for a variety of jobs, including content writers, editors, and researchers. It can be used to perform a variety of tasks, such as generating text, completing sentences, and correcting errors.

Stable Diffusion web UI is a web interface for Stable Diffusion, implemented using Gradio library. It provides a user-friendly interface to access the powerful image generation capabilities of Stable Diffusion. With Stable Diffusion web UI, users can easily generate images from text prompts, edit and refine images using inpainting and outpainting, and explore different artistic styles and techniques. The web UI also includes a range of advanced features such as textual inversion, hypernetworks, and embeddings, allowing users to customize and fine-tune the image generation process. Whether you're an artist, designer, or simply curious about the possibilities of AI-generated art, Stable Diffusion web UI is a valuable tool that empowers you to create stunning and unique images.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

DeFiChain is a blockchain platform dedicated to enabling decentralized finance with Bitcoin-grade security, strength, and immutability. It offers fast, intelligent, and transparent financial services accessible to everyone. DeFiChain has made significant modifications from Bitcoin Core, including moving to Proof-of-Stake, introducing a masternode model, supporting a community fund, anchoring to the Bitcoin blockchain, and enhancing decentralized financial transaction and opcode support. The platform is under active development with regular releases and contributions are welcomed.

llama.cpp is a C++ implementation of LLaMA, a large language model from Meta. It provides a command-line interface for inference and can be used for a variety of tasks, including text generation, translation, and question answering. llama.cpp is highly optimized for performance and can be run on a variety of hardware, including CPUs, GPUs, and TPUs.

llm-finetuning is a repository that provides a serverless twist to the popular axolotl fine-tuning library using Modal's serverless infrastructure. It allows users to quickly fine-tune any LLM model with state-of-the-art optimizations like Deepspeed ZeRO, LoRA adapters, Flash attention, and Gradient checkpointing. The repository simplifies the fine-tuning process by not exposing all CLI arguments, instead allowing users to specify options in a config file. It supports efficient training and scaling across multiple GPUs, making it suitable for production-ready fine-tuning jobs.

The ChatGPT Telegram Bot is a powerful Telegram bot that utilizes various GPT models, including GPT3.5, GPT4, GPT4 Turbo, GPT4 Vision, DALL·E 3, Groq Mixtral-8x7b/LLaMA2-70b, and Claude2.1/Claude3 opus/sonnet API. It enables users to engage in efficient conversations and information searches on Telegram. The bot supports multiple AI models, online search with DuckDuckGo and Google, user-friendly interface, efficient message processing, document interaction, Markdown rendering, and convenient deployment options like Zeabur, Replit, and Docker. Users can set environment variables for configuration and deployment. The bot also provides Q&A functionality, supports model switching, and can be deployed in group chats with whitelisting. The project is open source under GPLv3 license.

Facilitates successful corporate mergers and acquisitions to drive growth.

Specialist in corporate finance, offering strategic insights and best practices.

Use me to help you decide what type of business to acquire. Let's go!

Guides strategic business growth through successful mergers and acquisitions.

"DueDiligencePro AI" is engineered to support businesses and investment professionals by conducting thorough due diligence on mergers, acquisitions, investments, and other business ventures.

Automatically prompts for and merges spreadsheets.

Your smart Web3 Navigator, merges AI with Web3. It offers AI-curated news, a vast crypto knowledge base, intelligent market analysis, and a community forum.

Expert in PDF tasks and tool advice.

Expert in Indian competition law, providing insights and guidance.

Merges photos into Powerpuff Girls team scenes.