Best AI tools for< Enhance Performance >

Verve AI is a real-time interview assistance tool designed for job seekers. It offers personalized and actionable support for all interview scenarios, helping candidates ace their interviews and secure job offers. The tool provides features such as AI Interview Copilot, AI Resume Builder, and AI Mock Interview to enhance interview performance and optimize resumes. Verve AI seamlessly integrates with meeting software through the browser, offering hands-free solutions with automatic transcriptions and responses. It supports various job roles and industries, providing tailored guidance for software engineering, consulting, data science, finance, marketing, and product management.

Flawless is a transformative technology for filmmakers and advertisers, offering AI-powered tools like DeepEditor and TrueSync for agile filmmaking and visual storytelling. These tools enable users to refine dialogue, enhance performances, reduce shoot time, and provide cinematic visual dubbing for authentic film localization. Flawless empowers content creators by expanding capabilities, lowering costs, and reaching a global audience, ultimately changing the types of projects filmmakers can develop and how they approach production.

Mesh AI is a performance management platform that leverages AI technology to help organizations improve their high performer density, achieve strategic objectives, and enhance performance enablement. It combines goal tracking, real-time insights, habit formation via AI nudges, and AI coaching to provide actionable and science-backed content for people performance. Mesh offers a comprehensive toolkit with templates, tools, and playbooks, along with thought leadership resources such as webinars, virtual shows, and expert podcasts.

Shadowing AI is an interview practice platform that provides users with continuous feedback. It is designed to help individuals improve their interview skills by simulating real interview scenarios and offering personalized feedback. By using this platform, users can practice answering common interview questions, receive feedback on their responses, and enhance their overall interview performance. Shadowing AI aims to boost users' confidence and readiness for job interviews through its interactive and user-friendly interface.

Weavel is an AI tool designed to revolutionize prompt engineering for large language models (LLMs). It offers features such as tracing, dataset curation, batch testing, and evaluations to enhance the performance of LLM applications. Weavel enables users to continuously optimize prompts using real-world data, prevent performance regression with CI/CD integration, and engage in human-in-the-loop interactions for scoring and feedback. Ape, the AI prompt engineer, outperforms competitors on benchmark tests and ensures seamless integration and continuous improvement specific to each user's use case. With Weavel, users can effortlessly evaluate LLM applications without the need for pre-existing datasets, streamlining the assessment process and enhancing overall performance.

AiPlus is an AI tool designed to serve as a cost-efficient model gateway. It offers users a platform to access and utilize various AI models for their projects and tasks. With AiPlus, users can easily integrate AI capabilities into their applications without the need for extensive development or resources. The tool aims to streamline the process of leveraging AI technology, making it accessible to a wider audience.

Allego Conversation Intelligence is an AI-powered platform that helps revenue teams enhance performance and revenue by analyzing sales conversations. The platform enables users to capture, review, coach, and share valuable insights from conversations with customers. It leverages AI-driven analysis to reveal successful outcomes and provides data-driven performance coaching to improve sales performance. Allego Conversation Intelligence allows users to search, filter, and leverage call intelligence to uncover key moments that impact revenue. Trusted by top companies, the platform offers integrations with existing systems and resources for modern sales teams.

Uplift is an AI-powered platform that optimizes human movement performance by providing insights for sports performance, sports medicine, and sports media. It offers products like Uplift Capture and Uplift Vision to enhance performance, minimize risk, and elevate broadcasting experiences. The platform is utilized by Major League Baseball, professional sports teams, elite performance coaches, and Division I athletics programs. Uplift uses AI-powered movement analysis to unlock unrivaled insights for athletes and broadcasters, helping them improve performance, reduce injury risk, and engage fans effectively.

Peoplelogic is an AI-enabled platform offering a suite of tools to enhance performance, productivity, and people intelligence within organizations. It provides advanced AI solutions to help businesses align their teams, make data-driven decisions, and foster a culture of belonging. The platform combines AI technologies such as Generative AI, Machine Learning, and Natural Language Processing with human intelligence to optimize various HR processes and improve overall workforce performance.

Yogger is a video analysis app and AI movement screening tool that enables users to analyze movement anytime, anywhere. The technology allows for motion capture on mobile devices, making it easy to improve performance, prevent injuries, and achieve personal bests effortlessly. With Yogger, users can perform multiple movements, gather information instantly, and receive detailed reports on movement screenings. It is a motivational tool for clients looking to improve their assessment scores and a convenient way for trainers and coaches to assess clients and communicate ways to enhance performance.

The website is an AI tool designed for API privacy, governance, and testing. It offers solutions to detect and remediate sensitive data leaks, ensure compliance, and automate API testing and documentation. The AI-driven platform is trained on 70k public APIs and provides features like AI detection, cataloging, remediation, and best practices for data collection and storage. It aims to streamline API development, enhance performance, and improve security for APIs and applications.

cloudNito is an AI-driven platform that specializes in cloud cost optimization and management for businesses using AWS services. The platform offers automated cost optimization, comprehensive insights and analytics, unified cloud management, anomaly detection, cost and usage explorer, recommendations for waste reduction, and resource optimization. By leveraging advanced AI solutions, cloudNito aims to help businesses efficiently manage their AWS cloud resources, reduce costs, and enhance performance.

Sellesta.ai is an AI-powered platform that leverages advanced technologies to provide website optimization and security solutions. It helps website owners enhance performance, protect against cyber threats, and ensure seamless user experience. The platform integrates with Cloudflare network to deliver efficient DNS management and content delivery services. Sellesta.ai offers a user-friendly interface and customizable features to meet diverse website needs, making it a valuable tool for online businesses and organizations.

La Growth Machine is a multichannel sales automation tool that helps users import and enrich leads, automate conversions, manage leads, and analyze performances. It offers features such as LinkedIn Voice Messages, multichannel inbox, calls, automation of actions and messages, AI-powered writing assistance, campaign analysis, lead management, and more. La Growth Machine streamlines operational processes, enhances performance, and centralizes data in one place. With a focus on multi-channel prospecting, the tool aims to increase conversations and opportunities for users. Trusted by over 10,000 professionals, La Growth Machine provides a seamless experience for reaching out to leads across various platforms.

Prompteasy.ai is an AI tool that allows users to fine-tune AI models in less than 5 minutes. It simplifies the process of training AI models on user data, making it as easy as having a conversation. Users can fully customize GPT by fine-tuning it to meet their specific needs. The tool offers data-driven customization, interactive AI coaching, and seamless model enhancement, providing users with a competitive edge and simplifying AI integration into their workflows.

Benjamin S Powell is a leading AI consultant specializing in implementing powerful AI tools and strategies to help businesses reduce operational costs, boost productivity, and enhance workforce performance. With over 20 years of experience in entrepreneurship and product leadership, Benjamin has successfully founded multiple companies and steered them to profitable exits, taking on several C-Level roles along the way. His expertise lies in auditing and optimizing workflows, designing secure, impactful AI-driven tools, and sharing deep insights into emerging AI technologies through public speaking engagements.

GPT-Zip is an AI tool designed to optimize web content for RAG (Retrieval-Augmented Generation) processes in GPT-4 prompts. It compresses web content into pure information, reducing input tokens by up to 87%. The tool streamlines data processing for faster and more accurate responses, enhancing the speed and performance of GPT-4. GPT-Zip employs techniques like HTML stripping, CSS and JavaScript removal, and language compression to optimize web content for efficient processing by GPT-4.

Interview Prep AI is a revolutionary application designed to serve as your personal job interview coach. It leverages cutting-edge artificial intelligence technology to simulate real job interviews, providing you with the opportunity to practice and enhance your skills in a stress-free environment. With features like CV upload, personalized feedback, and privacy protection, Interview Prep AI aims to help individuals prepare effectively for their upcoming job interviews.

Bedrock Analytics is an AI-powered Location Intelligence and AI Platform that helps organizations maximize the value of place for strategic investments, operational performance, and everyday decisions. The platform offers scalable analysis and enrichment solutions embedded in web & mobile apps, with a wide range of data layers across categories such as human mobility, points of interest, and economic data. Bedrock Analytics turns locations into assets by providing the fastest, easiest, and most effective way to utilize location data for solving organizational tasks and challenges.

Skillora is an AI Interviewer Tool designed to help individuals practice and improve their interview skills in a safe and realistic environment. Users can take personalized mock interviews with the AI interviewer, receive instant feedback, and access learning resources to enhance their performance. Skillora offers customizable mock interviews tailored to any job description, dynamic follow-up questions, and clear scoring for each response. The application aims to boost users' confidence and success in landing their dream jobs.

RealScaler is a Windows app powered by RealESRGAN AI to enhance, upscale, and de-noise photos and videos. It provides an easy-to-use GUI for upscaling images and videos using multiple AI models. The tool supports automatic image tiling and merging to avoid GPU VRAM limitations, resizing images/videos before upscaling, interpolation between original and upscaled content, and compatibility with various image and video formats. RealScaler is written in Python and requires Windows 11/10, at least 8GB RAM, and a Directx12 compatible GPU with 4GB VRAM. Future versions aim to enhance performance, support more GPUs, offer a new GUI with Windows 11 style, include audio for upscaled videos, and provide features like metadata extraction and application from original to upscaled files.

optillm is an OpenAI API compatible optimizing inference proxy implementing state-of-the-art techniques to enhance accuracy and performance of LLMs, focusing on reasoning over coding, logical, and mathematical queries. By leveraging additional compute at inference time, it surpasses frontier models across diverse tasks.

Foyle is a project focused on building agents to assist software developers in deploying and operating software. It aims to improve agent performance by collecting human feedback on agent suggestions and human examples of reasoning traces. Foyle utilizes a literate environment using vscode notebooks to interact with infrastructure, capturing prompts, AI-provided answers, and user corrections. The goal is to continuously retrain AI to enhance performance. Additionally, Foyle emphasizes the importance of reasoning traces for training agents to work with internal systems, providing a self-documenting process for operations and troubleshooting.

A collection of papers and resources about Large Language Models (LLM) for Graph Learning (Graph). Integrating LLMs with graph learning techniques to enhance performance in graph learning tasks. Categorizes approaches based on four primary paradigms and nine secondary-level categories. Valuable for research or practice in self-supervised learning for recommendation systems.

JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome). It is designed to provide high performance and scalability for large language models, enabling efficient inference on cloud-based TPUs. JetStream leverages XLA to optimize the execution of LLM models, resulting in faster and more efficient inference. Additionally, JetStream supports quantization techniques to further enhance performance and reduce memory consumption. By utilizing JetStream, developers can deploy and run LLM models on TPUs with ease, achieving optimal performance and cost-effectiveness.

**RVC_CLI: Retrieval-based Voice Conversion Command Line Interface** This command-line interface (CLI) provides a comprehensive set of tools for voice conversion, enabling you to modify the pitch, timbre, and other characteristics of audio recordings. It leverages advanced machine learning models to achieve realistic and high-quality voice conversions. **Key Features:** * **Inference:** Convert the pitch and timbre of audio in real-time or process audio files in batch mode. * **TTS Inference:** Synthesize speech from text using a variety of voices and apply voice conversion techniques. * **Training:** Train custom voice conversion models to meet specific requirements. * **Model Management:** Extract, blend, and analyze models to fine-tune and optimize performance. * **Audio Analysis:** Inspect audio files to gain insights into their characteristics. * **API:** Integrate the CLI's functionality into your own applications or workflows. **Applications:** The RVC_CLI finds applications in various domains, including: * **Music Production:** Create unique vocal effects, harmonies, and backing vocals. * **Voiceovers:** Generate voiceovers with different accents, emotions, and styles. * **Audio Editing:** Enhance or modify audio recordings for podcasts, audiobooks, and other content. * **Research and Development:** Explore and advance the field of voice conversion technology. **For Jobs:** * Audio Engineer * Music Producer * Voiceover Artist * Audio Editor * Machine Learning Engineer **AI Keywords:** * Voice Conversion * Pitch Shifting * Timbre Modification * Machine Learning * Audio Processing **For Tasks:** * Convert Pitch * Change Timbre * Synthesize Speech * Train Model * Analyze Audio

LLM4Decompile is an open-source large language model dedicated to decompilation of Linux x86_64 binaries, supporting GCC's O0 to O3 optimization levels. It focuses on assessing re-executability of decompiled code through HumanEval-Decompile benchmark. The tool includes models with sizes ranging from 1.3 billion to 33 billion parameters, available on Hugging Face. Users can preprocess C code into binary and assembly instructions, then decompile assembly instructions into C using LLM4Decompile. Ongoing efforts aim to expand capabilities to support more architectures and configurations, integrate with decompilation tools like Ghidra and Rizin, and enhance performance with larger training datasets.

QA-Pilot is an interactive chat project that leverages online/local LLM for rapid understanding and navigation of GitHub code repository. It allows users to chat with GitHub public repositories using a git clone approach, store chat history, configure settings easily, manage multiple chat sessions, and quickly locate sessions with a search function. The tool integrates with `codegraph` to view Python files and supports various LLM models such as ollama, openai, mistralai, and localai. The project is continuously updated with new features and improvements, such as converting from `flask` to `fastapi`, adding `localai` API support, and upgrading dependencies like `langchain` and `Streamlit` to enhance performance.

This repository contains a library for constraining LLM generation to structured output, enforcing a JSON schema for precise data types and property names. It includes an acceptor/state machine framework, JSON acceptor, and JSON schema acceptor for guiding decoding in LLMs. The library provides reference implementations using Apple's MLX library and examples for function calling tasks. The tool aims to improve LLM output quality by ensuring adherence to a schema, reducing unnecessary output, and enhancing performance through pre-emptive decoding. Evaluations show performance benchmarks and comparisons with and without schema constraints.

Awesome-LLM-Quantization is a curated list of resources related to quantization techniques for Large Language Models (LLMs). Quantization is a crucial step in deploying LLMs on resource-constrained devices, such as mobile phones or edge devices, by reducing the model's size and computational requirements.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

A comprehensive repository of resources for Chinese large language models (LLMs), including data processing tools, fine-tuning frameworks, inference libraries, evaluation platforms, RAG engines, agent frameworks, books, courses, tutorials, and tips. The repository covers a wide range of tools and resources for working with LLMs, from data labeling and processing to model fine-tuning, inference, evaluation, and application development. It also includes resources for learning about LLMs through books, courses, and tutorials, as well as insights and strategies from building with LLMs.

RVC_CLI is a command line interface tool for retrieval-based voice conversion. It provides functionalities for installation, getting started, inference, training, UVR, additional features, and API integration. Users can perform tasks like single inference, batch inference, TTS inference, preprocess dataset, extract features, start training, generate index file, model extract, model information, model blender, launch TensorBoard, download models, audio analyzer, and prerequisites download. The tool is built on various projects like ContentVec, HIFIGAN, audio-slicer, python-audio-separator, RMVPE, FCPE, VITS, So-Vits-SVC, Harmonify, and others.

LLM Interface is an npm module that streamlines interactions with various Large Language Model (LLM) providers in Node.js applications. It offers a unified interface for switching between providers and models, supporting 36 providers and hundreds of models. Features include chat completion, streaming, error handling, extensibility, response caching, retries, JSON output, and repair. The package relies on npm packages like axios, @google/generative-ai, dotenv, jsonrepair, and loglevel. Installation is done via npm, and usage involves sending prompts to LLM providers. Tests can be run using npm test. Contributions are welcome under the MIT License.

A comprehensive repository focusing on 'Model Merging in LLMs, MLLMs, and Beyond', providing an exhaustive overview of model merging methods, theories, applications, and future research directions. The repository covers various advanced methods, applications in foundation models, different machine learning subfields, and tasks like pre-merging methods, architecture transformation, weight alignment, basic merging methods, and more.

This repository focuses on exploring tools that enhance the performance of language models for various tasks. It provides a structured list of literature relevant to tool-augmented language models, covering topics such as tool basics, tool use paradigm, scenarios, advanced methods, and evaluation. The repository includes papers, preprints, and books that discuss the use of tools in conjunction with language models for tasks like reasoning, question answering, mathematical calculations, accessing knowledge, interacting with the world, and handling non-textual modalities.

Generative-AI-Drug-Discovery is a public repository on GitHub focused on using tensor network machine learning approaches to accelerate GenAI for drug discovery. The repository aims to implement effective architectures and methodologies into Large Language Models (LLMs) to enhance Drug Discovery Generative AI performance.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

GPTSwarm is a graph-based framework for LLM-based agents that enables the creation of LLM-based agents from graphs and facilitates the customized and automatic self-organization of agent swarms with self-improvement capabilities. The library includes components for domain-specific operations, graph-related functions, LLM backend selection, memory management, and optimization algorithms to enhance agent performance and swarm efficiency. Users can quickly run predefined swarms or utilize tools like the file analyzer. GPTSwarm supports local LM inference via LM Studio, allowing users to run with a local LLM model. The framework has been accepted by ICML2024 and offers advanced features for experimentation and customization.

Breathing coach for athletes, focusing on performance and recovery

Optimizes financial liquidity, mitigates operational risk, and enhances financial performance.

Process Documentation for serving GPTs.

Empowering your sales success with expert strategies, innovative insights, and personalized coaching.

Guides leadership growth to enhance organizational performance.

Provides IELTS speaking and writing feedback and scores.

物理变声器专家，提供精准物理数据

Helps users create and optimize WoW macros.

Designs effective training materials to enhance organizational learning and performance.

Technical expert in JDM car performance mods

💃📘🕺 Master College Dance Performance with AI! 🎭📚 This tool offers expert answers, choreography tips, and insights into various dance styles. 🎶👯‍♀️ Ideal for students perfecting their art and stage presence. 🩰🎓

Enhance your SQL skills with our Multilingual SQL Assistant! Expertise in database design, optimization, and security, available in English, French, Spanish, and Mandarin. Personalized learning for all levels.

Advises on wireless communication technologies to enhance organizational efficiency.

Drives content creation and deployment to enhance brand visibility and engagement.

Guides product branding strategies to enhance organizational market presence.

designed to assist day traders in making informed and profitable trading decisions. It leverages a combination of real-time data analysis, predictive modeling, and personalized trading recommendations to enhance the trading experience and maximize success.

Expert on altitude training research and benefits

Panel of sales experts offering mentoring with advanced insights and strategies for small and medium-sized business sales professionals.

I advise on the design and optimization of Unity games.