Best AI tools for< Inspect Installations >

Inspect is an open-source framework for large language model evaluations created by the UK AI Safety Institute. It provides built-in components for prompt engineering, tool usage, multi-turn dialog, and model graded evaluations. Users can explore various solvers, tools, scorers, datasets, and models to create advanced evaluations. Inspect supports extensions for new elicitation and scoring techniques through Python packages.

Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.

Ascento is an AI-powered security solution that combines robotics and artificial intelligence to secure assets and provide quantitative insights of premises. The application offers features such as detecting people on premises, verifying perimeter integrity, recording property lights, scanning for thermal anomalies, controlling parking lots, and checking doors and windows. Ascento provides advantages like faster threat detection with greater accuracy, cost reduction, autonomous all-terrain robot capabilities, encrypted live communication, and integration with existing video management systems. However, some disadvantages include the need for immediate cost-benefits, training and onboarding requirements, and limited battery life for autonomous charging. The application is suitable for various industries and offers a turnkey solution with 24/7 support and fast replacements.

Neurala is a company that provides visual quality inspection software powered by AI. Their software is designed to help manufacturers improve their inspection process by reducing product defects, increasing inspection rates, and preventing production downtime. Neurala's software is flexible and can be easily retrofitted into existing production line infrastructure, without the need for AI experts or expensive capital expenditures. The company's software is used by a variety of manufacturers, including Sony, AITRIOS, and CB Insights.

DWE.ai is an AI-powered platform specializing in DeepWater Exploration. The platform offers cutting-edge marine optics for crystal clear underwater imaging data, empowering marine robotics, surface vehicles, aquaculture farms, and aerial drones with advanced mapping and vision capabilities. DWE.ai provides cost-effective equipment for monitoring subsea assets, conducting detailed inspections, and collecting essential environmental data to revolutionize underwater research and operations.

LangChain is a framework for developing applications powered by large language models (LLMs). It simplifies every stage of the LLM application lifecycle, including development, productionization, and deployment. LangChain consists of open-source libraries such as langchain-core, langchain-community, and partner packages. It also includes LangGraph for building stateful agents and LangSmith for debugging and monitoring LLM applications.

Vectorizer.AI is an online tool that allows users to convert PNG and JPG images to SVG vectors quickly and easily using artificial intelligence. The application utilizes deep learning networks and classical algorithms to analyze, process, and convert images from pixels to geometric shapes. It offers a full-featured deep vector engine, clean corners, high performance, symmetry modeling, and adaptive simplification, among other advanced features. Vectorizer.AI supports various input and output formats, including SVG, PDF, EPS, DXF, and PNG, making it a versatile tool for creating scalable vector graphics.

Fyusion is an AI-powered application that specializes in vehicle damage detection through advanced technology and deep AI understanding. It offers stunning 3D vehicle imagery and actionable insights for a comprehensive view of the vehicle's condition. Fyusion's technology revolutionizes the automotive industry by providing comprehensive condition reporting and interactive 3D imaging solutions. The application is utilized in various sectors, including wholesale, dealerships, and fleet operators, to enhance decision-making processes and streamline vehicle inspections.

Ripik.ai is an applied AI company developing computer vision agents—an automated pair of eyes for industries like steel, cement, and chemicals. These AI-driven agents provide 24/7 monitoring with 95%+ accuracy, enabling real-time decision-making while eliminating human error and inefficiencies. Ripik's Computer Vision AI Platform offers solutions for material, process, and equipment monitoring, driving higher throughput, improved energy efficiency, and enhanced quality, delivering direct and measurable gains across industrial operations.

Nanotronics is an AI-powered platform for autonomous manufacturing that revolutionizes the industry through automated optical inspection solutions. It combines computer vision, AI, and optical microscopy to ensure high-volume production with higher yields, less waste, and lower costs. Nanotronics offers products like nSpec and nControl, leading the paradigm shift in process control and transforming the entire manufacturing stack. With over 150 patents, 250+ deployments, and offices in multiple locations, Nanotronics is at the forefront of innovation in the manufacturing sector.

Inedit is an AI-powered editor widget that enhances the ability to edit webpage content instantly. It offers features like AI and inline editing, manual mode for error correction, effortless editing of multiple elements, and the ability to inspect deeper structures of webpages. The tool is powered by OpenAI GPT Models, providing unparalleled flexibility and advanced technology to streamline workflow and enhance productivity.

Pixian.AI is an AI tool that specializes in removing backgrounds from images. It offers a free service with no signup required, as well as a paid option for higher resolution images. The tool uses powerful GPUs and multi-core CPUs to analyze images and provide high-quality results. Pixian.AI aims to provide efficient and cost-effective AI image processing solutions to users, with a focus on quality and value.

Saara Inc is an AI tool for eCommerce that focuses on maximizing profits by leveraging AI-powered automation and smart agents. The platform helps online stores increase profitability by addressing challenges such as high return rates, operational costs, and customer churn. By enhancing loyalty, reducing expenses, and streamlining processes through automation and AI, Saara enables businesses to achieve sustainable growth and long-term profitability.

Scratchpad is an AI-powered workspace designed for sales teams to streamline their sales processes and enhance productivity. It offers a range of features such as AI Sales Assistant, Pipeline Management, Deal Rooms, Automations & Enablement, and Deal Inspection. With Scratchpad, sales teams can benefit from real-time notes, call summaries, and transcripts, as well as AI prompts for sales processes. The application aims to simplify sales execution, improve CRM hygiene, and provide better deal control through automation and in-line coaching.

Slicker is an AI-powered tool designed to recover failed subscription payments and maximize subscription revenue for businesses. It uses a proprietary AI engine to process each failing payment individually, converting past due invoices into revenue. With features like payment recovery on auto-pilot, state-of-the-art machine learning model, lightning-fast setup, in-depth payment analytics, and enterprise-grade security, Slicker offers a comprehensive solution to reduce churn and boost revenue. The tool is fully transparent, allowing users to inspect and review every action taken by the AI engine. Slicker seamlessly integrates with popular billing and payment platforms, making it easy to implement and start seeing results quickly.

Inspecti is an AI-driven property inspection and reporting tool that revolutionizes property inspections by eliminating unnecessary manual work and subjective evaluations. It offers faster and more efficient inspections, AI-driven object detection and description, same-day report delivery, reduced disputes on security deposits, and solid consistency. Inspecti simplifies inspections with automatic reports, team collaboration, and easy task management, trusted by tech-savvy property inventory clerks.

Inspectr is an AI-powered intelligence engine designed for real estate operations. It integrates with existing tech stacks to provide real-time, actionable insights that reduce costs, improve efficiency, and drive higher returns across portfolios. Inspectr turns fragmented data into predictive intelligence, optimizing spend, budgets, and maximizing Net Operating Income (NOI) without disrupting current systems. The platform offers features like real-time strategic intelligence, seamless integrations, and work order enrichment to streamline operations and enhance asset performance.

Osmo is an AI scent platform that aims to digitize the sense of smell, combining frontier AI and olfactory science to improve human health and wellbeing through fragrance. The platform reads, maps, and writes scents using modern AI tools, enabling the discovery of new fragrance ingredients and applications for insect repellents, threat detection, and immersive experiences.

Bichos ID de Fucesa is an AI tool that allows users to explore and identify insects, arachnids, and other arthropods using artificial intelligence. Users can discover the most searched bugs, explore new discoveries made by the community, and view curated organisms. The platform aims to expand knowledge about the fascinating world of arthropods through AI-powered identification.

Gollama is a tool designed for managing Ollama models through a Text User Interface (TUI). Users can list, inspect, delete, copy, and push Ollama models, as well as link them to LM Studio. The application offers interactive model selection, sorting by various criteria, and actions using hotkeys. It provides features like sorting and filtering capabilities, displaying model metadata, model linking, copying, pushing, and more. Gollama aims to be user-friendly and useful for managing models, especially for cleaning up old models.

A Rust based tool to evaluate LLM models, prompts and model params. It automates the process of selecting the best model parameters, given an LLM model and a prompt, iterating over the possible combinations and letting the user visually inspect the results. The tool assumes the user has Ollama installed and serving endpoints, either in `localhost` or in a remote server. Key features include: * Automatically fetches models from local or remote Ollama servers * Iterates over different models and params to generate inferences * A/B test prompts on different models simultaneously * Allows multiple iterations for each combination of parameters * Makes synchronous inference calls to avoid spamming servers * Optionally outputs inference parameters and response metadata (inference time, tokens and tokens/s) * Refetching of individual inference calls * Model selection can be filtered by name * List experiments which can be downloaded in JSON format * Configurable inference timeout * Custom default parameters and system prompts can be defined in settings

**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

Data Formulator is an AI-powered tool developed by Microsoft Research to help data analysts create rich visualizations iteratively. It combines user interface interactions with natural language inputs to simplify the process of describing chart designs while delegating data transformation to AI. Users can utilize features like blended UI and NL inputs, data threads for history navigation, and code inspection to create impressive visualizations. The tool supports local installation for customization and Codespaces for quick setup. Developers can build new data analysis tools on top of Data Formulator, and research papers are available for further reading.

Celery AsyncIO Pool is a free software tool licensed under GNU Affero General Public License v3+. It provides an AsyncIO worker pool for Celery, enabling users to leverage the power of AsyncIO in their Celery applications. The tool allows for easy installation using Poetry, pip, or directly from GitHub. Users can configure Celery to use the AsyncIO pool provided by celery-aio-pool, or they can wait for the upcoming support for out-of-tree worker pools in Celery 5.3. The tool is actively maintained and welcomes contributions from the community.

ChainForge is a visual programming environment for battle-testing prompts to LLMs. It is geared towards early-stage, quick-and-dirty exploration of prompts, chat responses, and response quality that goes beyond ad-hoc chatting with individual LLMs. With ChainForge, you can: * Query multiple LLMs at once to test prompt ideas and variations quickly and effectively. * Compare response quality across prompt permutations, across models, and across model settings to choose the best prompt and model for your use case. * Setup evaluation metrics (scoring function) and immediately visualize results across prompts, prompt parameters, models, and model settings. * Hold multiple conversations at once across template parameters and chat models. Template not just prompts, but follow-up chat messages, and inspect and evaluate outputs at each turn of a chat conversation. ChainForge comes with a number of example evaluation flows to give you a sense of what's possible, including 188 example flows generated from benchmarks in OpenAI evals. This is an open beta of Chainforge. We support model providers OpenAI, HuggingFace, Anthropic, Google PaLM2, Azure OpenAI endpoints, and Dalai-hosted models Alpaca and Llama. You can change the exact model and individual model settings. Visualization nodes support numeric and boolean evaluation metrics. ChainForge is built on ReactFlow and Flask.

The docker-aio repository provides an accelerated mirror service for Docker users, allowing them to speed up image pulls by replacing original domains with corresponding accelerated domains. Users in Asia are advised to comply with local laws and regulations when using this service. The repository offers installation scripts and instructions on how to modify Docker configurations to utilize the accelerated mirrors effectively.

Use the OpenAI API with Ruby! 🤖🩵 Stream text with GPT-4, transcribe and translate audio with Whisper, or create images with DALL·E... Hire me | 🎮 Ruby AI Builders Discord | 🐦 Twitter | 🧠 Anthropic Gem | 🚂 Midjourney Gem ## Table of Contents * Ruby OpenAI * Table of Contents * Installation * Bundler * Gem install * Usage * Quickstart * With Config * Custom timeout or base URI * Extra Headers per Client * Logging * Errors * Faraday middleware * Azure * Ollama * Counting Tokens * Models * Examples * Chat * Streaming Chat * Vision * JSON Mode * Functions * Edits * Embeddings * Batches * Files * Finetunes * Assistants * Threads and Messages * Runs * Runs involving function tools * Image Generation * DALL·E 2 * DALL·E 3 * Image Edit * Image Variations * Moderations * Whisper * Translate * Transcribe * Speech * Errors * Development * Release * Contributing * License * Code of Conduct

GPT Home is a project that allows users to build their own home assistant using Raspberry Pi and OpenAI API. It serves as a guide for setting up a smart home assistant similar to Google Nest Hub or Amazon Alexa. The project integrates various components like OpenAI, Spotify, Philips Hue, and OpenWeatherMap to provide a personalized home assistant experience. Users can follow the detailed instructions provided to build their own version of the home assistant on Raspberry Pi, with optional components for customization. The project also includes system configurations, dependencies installation, and setup scripts for easy deployment. Overall, GPT Home offers a DIY solution for creating a smart home assistant using Raspberry Pi and OpenAI technology.

Arno's Iptables Firewall (AIF) is a single- & multi-homed firewall script with DSL/ADSL support. It is a free software distributed under the GNU GPL License. The script provides a comprehensive set of configuration files and plugins for setting up and managing firewall rules, including support for NAT, load balancing, and multirouting. It offers detailed instructions for installation and configuration, emphasizing security best practices and caution when modifying settings. The script is designed to protect against hostile attacks by blocking all incoming traffic by default and allowing users to configure specific rules for open ports and network interfaces.

Agentic Security is an open-source vulnerability scanner designed for safety scanning, offering customizable rule sets and agent-based attacks. It provides comprehensive fuzzing for any LLMs, LLM API integration, and stress testing with a wide range of fuzzing and attack techniques. The tool is not a foolproof solution but aims to enhance security measures against potential threats. It offers installation via pip and supports quick start commands for easy setup. Users can utilize the tool for LLM integration, adding custom datasets, running CI checks, extending dataset collections, and dynamic datasets with mutations. The tool also includes a probe endpoint for integration testing. The roadmap includes expanding dataset variety, introducing new attack vectors, developing an attacker LLM, and integrating OWASP Top 10 classification.

ChatGPT CLI provides a powerful command-line interface for seamless interaction with ChatGPT models via OpenAI and Azure. It features streaming capabilities, extensive configuration options, and supports various modes like streaming, query, and interactive mode. Users can manage thread-based context, sliding window history, and provide custom context from any source. The CLI also offers model and thread listing, advanced configuration options, and supports GPT-4, GPT-3.5-turbo, and Perplexity's models. Installation is available via Homebrew or direct download, and users can configure settings through default values, a config.yaml file, or environment variables.

Holloway's Upscaler is a consolidation of various compiled open-source AI image/video upscaling products for a CLI-friendly image and video upscaling program. It provides low-cost AI upscaling software that can run locally on a laptop, programmable for albums and videos, reliable for large video files, and works without GUI overheads. The repository supports hardware testing on various systems and provides important notes on GPU compatibility, video types, and image decoding bugs. Dependencies include ffmpeg and ffprobe for video processing. The user manual covers installation, setup pathing, calling for help, upscaling images and videos, and contributing back to the project. Benchmarks are provided for performance evaluation on different hardware setups.

MFLUX is a line-by-line port of the FLUX implementation in the Huggingface Diffusers library to Apple MLX. It aims to run powerful FLUX models from Black Forest Labs locally on Mac machines. The codebase is minimal and explicit, prioritizing readability over generality and performance. Models are implemented from scratch in MLX, with tokenizers from the Huggingface Transformers library. Dependencies include Numpy and Pillow for image post-processing. Installation can be done using `uv tool` or classic virtual environment setup. Command-line arguments allow for image generation with specified models, prompts, and optional parameters. Quantization options for speed and memory reduction are available. LoRA adapters can be loaded for fine-tuning image generation. Controlnet support provides more control over image generation with reference images. Current limitations include generating images one by one, lack of support for negative prompts, and some LoRA adapters not working.

Factorio Learning Environment is an open source framework designed for developing and evaluating LLM agents in the game of Factorio. It provides two settings: Lab-play with structured tasks and Open-play for building large factories. Results show limitations in spatial reasoning and automation strategies. Agents interact with the environment through code synthesis, observation, action, and feedback. Tools are provided for game actions and state representation. Agents operate in episodes with observation, planning, and action execution. Tasks specify agent goals and are implemented in JSON files. The project structure includes directories for agents, environment, cluster, data, docs, eval, and more. A database is used for checkpointing agent steps. Benchmarks show performance metrics for different configurations.

AIMET is a library that provides advanced model quantization and compression techniques for trained neural network models. It provides features that have been proven to improve run-time performance of deep learning neural network models with lower compute and memory requirements and minimal impact to task accuracy. AIMET is designed to work with PyTorch, TensorFlow and ONNX models. We also host the AIMET Model Zoo - a collection of popular neural network models optimized for 8-bit inference. We also provide recipes for users to quantize floating point models using AIMET.

Superpipe is a lightweight framework designed for building, evaluating, and optimizing data transformation and data extraction pipelines using LLMs. It allows users to easily combine their favorite LLM libraries with Superpipe's building blocks to create pipelines tailored to their unique data and use cases. The tool facilitates rapid prototyping, evaluation, and optimization of end-to-end pipelines for tasks such as classification and evaluation of job departments based on work history. Superpipe also provides functionalities for evaluating pipeline performance, optimizing parameters for cost, accuracy, and speed, and conducting grid searches to experiment with different models and prompts.

A high-performance TensorFlow Lite library for React Native that utilizes JSI for power, zero-copy ArrayBuffers for efficiency, and low-level C/C++ TensorFlow Lite core API for direct memory access. It supports swapping out TensorFlow Models at runtime and GPU-accelerated delegates like CoreML/Metal/OpenGL. Easy VisionCamera integration allows for seamless usage. Users can load TensorFlow Lite models, interpret input and output data, and utilize GPU Delegates for faster computation. The library is suitable for real-time object detection, image classification, and other machine learning tasks in React Native applications.

Invariant Analyzer is an open-source scanner designed for LLM-based AI agents to find bugs, vulnerabilities, and security threats. It scans agent execution traces to identify issues like looping behavior, data leaks, prompt injections, and unsafe code execution. The tool offers a library of built-in checkers, an expressive policy language, data flow analysis, real-time monitoring, and extensible architecture for custom checkers. It helps developers debug AI agents, scan for security violations, and prevent security issues and data breaches during runtime. The analyzer leverages deep contextual understanding and a purpose-built rule matching engine for security policy enforcement.

RLAMA is a powerful AI-driven question-answering tool that seamlessly integrates with local Ollama models. It enables users to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems tailored to their documentation needs. RLAMA follows a clean architecture pattern with clear separation of concerns, focusing on lightweight and portable RAG capabilities with minimal dependencies. The tool processes documents, generates embeddings, stores RAG systems locally, and provides contextually-informed responses to user queries. Supported document formats include text, code, and various document types, with troubleshooting steps available for common issues like Ollama accessibility, text extraction problems, and relevance of answers.

Expert in electrical trade, codes, and safety practices.

Expert in bathroom plumbing issues, providing advice and solutions.

Inspect and rate futuristic AI conceived VTOL aircraft.

Upload a picture of your home wall, floor, window, driveway, roof, HVAC, and get an instant opinion.

Fully-equipped .har file inspector with image extraction

Food quality inspection expert for analyzing food images.

Roofing expert offering advice on repairs, maintenance, and inspections.

各类气瓶制造相关原理与基本特性要求

Identifies hotdogs in images.

Assess a potential home's quality using your own photos and property inspection reports

Expert on Personal Protective Equipment

Expert in testing, inspection, certification, compliant with OpenAI policies, developed on OpenAI.

Is this a bed bug?

This AI is specifically for Computer Vision usage, specifically realated to PCB component identification

Transform Your Home Search into an Epic Journey with Choose Your Own Adventure Housing – Where Every Click is a New Path!

The buddy that helps you with all things Drones. While I'm nicer than most humans, I'm still a bot, so double check my answers

What would you say if I told you there is an app on the market that can tell you if you have a hot dog or not a hot dog.

Expert in NFPA 99-2018 for medical gas system compliance and guidance.

An expert in home buying

Informative guide on road construction, maintenance, and traffic disruptions.