Best AI tools for< Inspect Model >

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.

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.

Inedit is an AI-powered editor widget that enhances your 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 a webpage. 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.

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.

People.ai is an AI-powered platform that revolutionizes the way businesses approach revenue generation. It offers a holistic solution combining automated activity capture with account and opportunity management to create a unified Go-To-Market (GTM) motion. The platform leverages generative AI to automate manual tasks, inspect account and deal health, and provide prescriptive coaching recommendations. People.ai helps businesses modernize by providing complete, accurate, and enriched data complemented by AI-driven insights to enhance sales team efficiency and effectiveness.

Ascento is an AI-powered robotics solution that enhances security by utilizing robotics and AI technology 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 operation, all-terrain capabilities, and comprehensive Robotics-as-a-Service solution. However, some disadvantages include the need for immediate cost-benefits, training and onboarding requirements, and potential limitations in certain weather conditions.

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.

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.

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.

Aviso is an end-to-end AI revenue platform that offers conversational intelligence and RevOps sales leadership bootcamp. It provides a single platform for accurate, prescriptive, and repeatable revenue execution by consolidating underperforming sales apps with an integrated AI platform. Aviso's AI Brain delivers personalized insights using AI Chief of Staff and bespoke Agentic workflows. The platform helps in extracting insights, monitoring deal progression, and running analytics to optimize rep performance and prioritize GTM activities.

Saara Inc offers AI tools for eCommerce to maximize profits by reducing returns, cutting costs, boosting loyalty, and increasing profits through AI-powered automation and smart agents. Their solutions focus on tackling key challenges in eCommerce such as high return rates, rising operational costs, and customer churn. By improving loyalty, reducing expenses, and streamlining processes with smart automation and AI agents, Saara Inc 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.

Inspecti.App is a game-changing property inspection and reporting generator designed to revolutionize the way Inventory Clerks conduct property inspections. By leveraging AI technology, Inspecti simplifies and automates the inspection process, saving time and improving accuracy. The platform eliminates manual work, enhances efficiency, and delivers comprehensive inspection reports in a fraction of the time compared to traditional methods. With features like AI-driven object detection, same-day report delivery, and tailored portfolio management, Inspecti empowers users to streamline property inspections and reduce operational costs. The application prioritizes personal interactions, compliance readiness, and consistent experience, making it a valuable tool for property professionals seeking to optimize their inspection workflows.

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 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.

Forust is a lightweight package for building gradient boosted decision tree ensembles. The algorithm code is written in Rust with a Python wrapper. It implements the same algorithm as XGBoost and provides nearly identical results. The package was developed to better understand XGBoost, as a fun project in Rust, and to experiment with adding new features to the algorithm in a simpler codebase. Forust allows training gradient boosted decision tree ensembles with multiple objective functions, predicting on datasets, inspecting model structures, calculating feature importance, and saving/loading trained boosters.

This repository provides a Python implementation of a method that leverages pre-trained large language models to construct and utilize world models for model-based task planning. It includes scripts to generate domain models using natural language descriptions, correct domain models based on feedback, and support plan generation for tasks in different domains. The code has been refactored for better readability and includes tools for validating PDDL syntax and handling corrective feedback.

PyOllaMx is a chatbot application that serves as a gateway to both Ollama and Apple MlX models. It allows users to chat with these models through a native MacOS interface, eliminating the need for external applications like Bing or Chat-GPT. The tool provides a versatile and user-friendly experience for interacting with different models, enabling tasks such as model discovery, model management, chatting, and web searching. PyOllaMx simplifies the workflow for users who want to leverage Ollama and MlX models on their Mac devices.

sktime is a Python library for time series analysis that provides a unified interface for various time series learning tasks such as classification, regression, clustering, annotation, and forecasting. It offers time series algorithms and tools compatible with scikit-learn for building, tuning, and validating time series models. sktime aims to enhance the interoperability and usability of the time series analysis ecosystem by empowering users to apply algorithms across different tasks and providing interfaces to related libraries like scikit-learn, statsmodels, tsfresh, PyOD, and fbprophet.

Netron is a viewer for neural network, deep learning and machine learning models. It supports a wide range of model formats, including ONNX, TensorFlow Lite, Core ML, Keras, Caffe, Darknet, MXNet, PaddlePaddle, ncnn, MNN and TensorFlow.js. Netron also has experimental support for PyTorch, TorchScript, TensorFlow, OpenVINO, RKNN, MediaPipe, ML.NET and scikit-learn.

Inspect AI is a framework developed by the UK AI Safety Institute for evaluating large language models. It offers various built-in components for prompt engineering, tool usage, multi-turn dialog, and model graded evaluations. Users can extend Inspect by adding new elicitation and scoring techniques through additional Python packages. The tool aims to provide a comprehensive solution for assessing the performance and safety of language 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

GGUF tools is a library designed to manipulate GGUF files commonly used in machine learning projects. The main goal of this library is to provide accessible code that documents GGUF files for the llama.cpp project. The utility implements subcommands to show detailed info about GGUF files, compare two LLMs, inspect tensor weights, and extract models from Mixtral 7B MoE. The library is under active development with well-commented code and a simple API. However, it has limitations in handling quantization formats.

model.nvim is a tool designed for Neovim users who want to utilize AI models for completions or chat within their text editor. It allows users to build prompts programmatically with Lua, customize prompts, experiment with multiple providers, and use both hosted and local models. The tool supports features like provider agnosticism, programmatic prompts in Lua, async and multistep prompts, streaming completions, and chat functionality in 'mchat' filetype buffer. Users can customize prompts, manage responses, and context, and utilize various providers like OpenAI ChatGPT, Google PaLM, llama.cpp, ollama, and more. The tool also supports treesitter highlights and folds for chat buffers.

Langfuse is a powerful tool that helps you develop, monitor, and test your LLM applications. With Langfuse, you can: * **Develop:** Instrument your app and start ingesting traces to Langfuse, inspect and debug complex logs, and manage, version, and deploy prompts from within Langfuse. * **Monitor:** Track metrics (cost, latency, quality) and gain insights from dashboards & data exports, collect and calculate scores for your LLM completions, run model-based evaluations, collect user feedback, and manually score observations in Langfuse. * **Test:** Track and test app behaviour before deploying a new version, test expected in and output pairs and benchmark performance before deploying, and track versions and releases in your application. Langfuse is easy to get started with and offers a generous free tier. You can sign up for Langfuse Cloud or deploy Langfuse locally or on your own infrastructure. Langfuse also offers a variety of integrations to make it easy to connect to your LLM applications.

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.

AgentDojo is a dynamic environment designed to evaluate prompt injection attacks and defenses for large language models (LLM) agents. It provides a benchmark script to run different suites and tasks with specified LLM models, defenses, and attacks. The tool is under active development, and users can inspect the results through dedicated documentation pages and the Invariant Benchmark Registry.

**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

The Ramalama project simplifies working with AI by utilizing OCI containers. It automatically detects GPU support, pulls necessary software in a container, and runs AI models. Users can list, pull, run, and serve models easily. The tool aims to support various GPUs and platforms in the future, making AI setup hassle-free.

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.

This repository contains Refact WebUI for fine-tuning and self-hosting of code models, which can be used inside Refact plugins for code completion and chat. Users can fine-tune open-source code models, self-host them, download and upload Lloras, use models for code completion and chat inside Refact plugins, shard models, host multiple small models on one GPU, and connect GPT-models for chat using OpenAI and Anthropic keys. The repository provides a Docker container for running the self-hosted server and supports various models for completion, chat, and fine-tuning. Refact is free for individuals and small teams under the BSD-3-Clause license, with custom installation options available for GPU support. The community and support include contributing guidelines, GitHub issues for bugs, a community forum, Discord for chatting, and Twitter for product news and updates.

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.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.

Inspect and rate futuristic AI conceived VTOL aircraft.

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

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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

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

Expert in electrical trade, codes, and safety practices.

Your expert on NEXCO Nagayoshi project.