Best AI tools for< Analyze Insights >
10 - AI tool Sites
GPT Workspace
GPT Workspace is an AI tool that integrates ChatGPT and Gemini directly into Google Workspace applications such as Docs, Sheets, Slides, Drive, and Gmail. It enhances productivity by providing features like categorizing, summarizing, classifying, cleaning, and extracting data, generating content, slides, taglines, blogs, and speeches, suggesting ways to improve writing clarity, and more. With a focus on privacy and user control, GPT Workspace offers a seamless and efficient AI-powered experience within the familiar Google Workspace environment.
Multytude
Multytude is an AI-driven Influencer-Led Prompted Listening Tool designed for brands and agencies to gather qualitative consumer insights efficiently. By leveraging the power of influencers and AI, Multytude combines the scale and speed of social listening with the prompting ability of surveys and focus groups. The platform enables brands to proactively harness strategic insights by making crowds talk on topics that matter, providing brand advice using AI technology.
Trill
Trill is an AI-powered research assistant designed to streamline the user research process. It provides relevant insights and observations based on project objectives, offers instant themes and categories without the need for manual coding, and allows users to organize findings into digestible reports using templates and an editor similar to Notion. Currently in beta, Trill aims to help users move from interviews to insights quickly and efficiently.
Chat2CSV
The website offers an AI-powered tool for easy data visualization through natural language commands. Users can transform CSV data into various charts without the need for complex coding. The platform provides a wide range of chart types, smart AI support, and prioritizes data security and privacy. It simplifies data visualization tasks, making it intuitive and versatile for users to create visual insights effortlessly.
AI Product Validation Tool
This AI-powered tool assists in validating product ideas by generating interview questions, surveys, and polls. It enables users to identify their target audience, gather feedback, and analyze insights to refine their product development process.
Disco AI
Disco AI is an AI-powered social learning platform that aims to supercharge social learning experiences. It offers a comprehensive set of features including cohort-based learning, AI co-pilot, Slack integration, learning products, automations, insights & analytics, custom branding, and advanced integrations. The platform caters to various use cases such as accelerators, incubators, cohort-based learning, virtual academies, membership communities, certification programs, upskilling programs, and professional associations. Disco AI empowers users to deliver transformative learning experiences, engage with community members, and drive revenue growth through personalized and scalable AI tools.
Tablepad
Tablepad is an AI-powered data analytics tool that allows users to upload, view, and query data effortlessly. With Tablepad, users can generate insights and create charts without the need for coding skills. The tool supports various file formats and offers automated visual insights by generating graphs and charts based on plain English questions. Tablepad simplifies data exploration and visualization, making it easy for users to uncover valuable insights from their data.
AI Top Rank
AI Top Rank is an AI tool designed to gather feedback and feature requests from users. It provides a platform for users to share their ideas, suggestions, and feedback on various topics. The tool helps in organizing and prioritizing feedback to improve products or services. With AI capabilities, it offers intelligent insights and analysis to drive decision-making processes. AI Top Rank aims to enhance user engagement and satisfaction by incorporating user feedback into product development.
Vidscriber
Vidscriber is an AI-powered tool that allows users to chat with any media content by providing lightning-fast transcriptions and powerful chat models. Users can upload various media formats, such as webinars, podcasts, or YouTube videos, to accelerate learning, uncover key insights, and enhance understanding. Vidscriber simplifies content sharing, making it ideal for education, teamwork, and expanding audience reach. The tool offers transparent pricing with different tiers to suit individual needs, including a free tier for trying it out. Vidscriber helps users save time by quickly finding answers and transforming audiovisual content into actionable insights.
M-AI
M-AI is an AI-driven sales automation platform that revolutionizes the sales process by leveraging cutting-edge AI technology. The platform offers features such as effortless prospecting, automatic outreach, seamless scheduling, AI-driven automation, and AI-powered insights. It helps businesses streamline their sales efforts, manage leads efficiently, and drive better results through AI-driven solutions. M-AI blends innovation with practicality to deliver exceptional results for over 150 companies, transforming the future of sales with AI-driven automation.
20 - Open Source AI Tools
AI-Bootcamp
The AI Bootcamp is a comprehensive training program focusing on real-world applications to equip individuals with the skills and knowledge needed to excel as AI engineers. The bootcamp covers topics such as Real-World PyTorch, Machine Learning Projects, Fine-tuning Tiny LLM, Deployment of LLM to Production, AI Agents with GPT-4 Turbo, CrewAI, Llama 3, and more. Participants will learn foundational skills in Python for AI, ML Pipelines, Large Language Models (LLMs), AI Agents, and work on projects like RagBase for private document chat.
Customer-Service-Conversational-Insights-with-Azure-OpenAI-Services
This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.
genai-for-marketing
This repository provides a deployment guide for utilizing Google Cloud's Generative AI tools in marketing scenarios. It includes step-by-step instructions, examples of crafting marketing materials, and supplementary Jupyter notebooks. The demos cover marketing insights, audience analysis, trendspotting, content search, content generation, and workspace integration. Users can access and visualize marketing data, analyze trends, improve search experience, and generate compelling content. The repository structure includes backend APIs, frontend code, sample notebooks, templates, and installation scripts.
ExplainableAI.jl
ExplainableAI.jl is a Julia package that implements interpretability methods for black-box classifiers, focusing on local explanations and attribution maps in input space. The package requires models to be differentiable with Zygote.jl. It is similar to Captum and Zennit for PyTorch and iNNvestigate for Keras models. Users can analyze and visualize explanations for model predictions, with support for different XAI methods and customization. The package aims to provide transparency and insights into model decision-making processes, making it a valuable tool for understanding and validating machine learning models.
Discord-AI-Selfbot
Discord-AI-Selfbot is a Python-based Discord selfbot that uses the `discord.py-self` library to automatically respond to messages mentioning its trigger word using Groq API's Llama-3 model. It functions as a normal Discord bot on a real Discord account, enabling interactions in DMs, servers, and group chats without needing to invite a bot. The selfbot comes with features like custom AI instructions, free LLM model usage, mention and reply recognition, message handling, channel-specific responses, and a psychoanalysis command to analyze user messages for insights on personality.
digma
Digma is a Continuous Feedback platform that provides code-level insights related to performance, errors, and usage during development. It empowers developers to own their code all the way to production, improving code quality and preventing critical issues. Digma integrates with OpenTelemetry traces and metrics to generate insights in the IDE, helping developers analyze code scalability, bottlenecks, errors, and usage patterns.
phoenix
Phoenix is a tool that provides MLOps and LLMOps insights at lightning speed with zero-config observability. It offers a notebook-first experience for monitoring models and LLM Applications by providing LLM Traces, LLM Evals, Embedding Analysis, RAG Analysis, and Structured Data Analysis. Users can trace through the execution of LLM Applications, evaluate generative models, explore embedding point-clouds, visualize generative application's search and retrieval process, and statistically analyze structured data. Phoenix is designed to help users troubleshoot problems related to retrieval, tool execution, relevance, toxicity, drift, and performance degradation.
lawyer-llama
Lawyer LLaMA is a large language model that has been specifically trained on legal data, including Chinese laws, regulations, and case documents. It has been fine-tuned on a large dataset of legal questions and answers, enabling it to understand and respond to legal inquiries in a comprehensive and informative manner. Lawyer LLaMA is designed to assist legal professionals and individuals with a variety of law-related tasks, including: * **Legal research:** Quickly and efficiently search through vast amounts of legal information to find relevant laws, regulations, and case precedents. * **Legal analysis:** Analyze legal issues, identify potential legal risks, and provide insights on how to proceed. * **Document drafting:** Draft legal documents, such as contracts, pleadings, and legal opinions, with accuracy and precision. * **Legal advice:** Provide general legal advice and guidance on a wide range of legal matters, helping users understand their rights and options. Lawyer LLaMA is a powerful tool that can significantly enhance the efficiency and effectiveness of legal research, analysis, and decision-making. It is an invaluable resource for lawyers, paralegals, law students, and anyone else who needs to navigate the complexities of the legal system.
extension-gen-ai
The Looker GenAI Extension provides code examples and resources for building a Looker Extension that integrates with Vertex AI Large Language Models (LLMs). Users can leverage the power of LLMs to enhance data exploration and analysis within Looker. The extension offers generative explore functionality to ask natural language questions about data and generative insights on dashboards to analyze data by asking questions. It leverages components like BQML Remote Models, BQML Remote UDF with Vertex AI, and Custom Fine Tune Model for different integration options. Deployment involves setting up infrastructure with Terraform and deploying the Looker Extension by creating a Looker project, copying extension files, configuring BigQuery connection, connecting to Git, and testing the extension. Users can save example prompts and configure user settings for the extension. Development of the Looker Extension environment includes installing dependencies, starting the development server, and building for production.
inspectus
Inspectus is a versatile visualization tool for large language models. It provides multiple views, including Attention Matrix, Query Token Heatmap, Key Token Heatmap, and Dimension Heatmap, to offer insights into language model behaviors. Users can interact with the tool in Jupyter notebooks through an easy-to-use Python API. Inspectus allows users to visualize attention scores between tokens, analyze how tokens focus on each other during processing, and explore the relationships between query and key tokens. The tool supports the visualization of attention maps from Huggingface transformers and custom attention maps, making it a valuable resource for researchers and developers working with language models.
langwatch
LangWatch is a monitoring and analytics platform designed to track, visualize, and analyze interactions with Large Language Models (LLMs). It offers real-time telemetry to optimize LLM cost and latency, a user-friendly interface for deep insights into LLM behavior, user analytics for engagement metrics, detailed debugging capabilities, and guardrails to monitor LLM outputs for issues like PII leaks and toxic language. The platform supports OpenAI and LangChain integrations, simplifying the process of tracing LLM calls and generating API keys for usage. LangWatch also provides documentation for easy integration and self-hosting options for interested users.
obsei
Obsei is an open-source, low-code, AI powered automation tool that consists of an Observer to collect unstructured data from various sources, an Analyzer to analyze the collected data with various AI tasks, and an Informer to send analyzed data to various destinations. The tool is suitable for scheduled jobs or serverless applications as all Observers can store their state in databases. Obsei is still in alpha stage, so caution is advised when using it in production. The tool can be used for social listening, alerting/notification, automatic customer issue creation, extraction of deeper insights from feedbacks, market research, dataset creation for various AI tasks, and more based on creativity.
RVC_CLI
**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
LLMonFHIR
LLMonFHIR is an iOS application that utilizes large language models (LLMs) to interpret and provide context around patient data in the Fast Healthcare Interoperability Resources (FHIR) format. It connects to the OpenAI GPT API to analyze FHIR resources, supports multiple languages, and allows users to interact with their health data stored in the Apple Health app. The app aims to simplify complex health records, provide insights, and facilitate deeper understanding through a conversational interface. However, it is an experimental app for informational purposes only and should not be used as a substitute for professional medical advice. Users are advised to verify information provided by AI models and consult healthcare professionals for personalized advice.
phospho
Phospho is a text analytics platform for LLM apps. It helps you detect issues and extract insights from text messages of your users or your app. You can gather user feedback, measure success, and iterate on your app to create the best conversational experience for your users.
Awesome-Segment-Anything
Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.
EDA-GPT
EDA GPT is an open-source data analysis companion that offers a comprehensive solution for structured and unstructured data analysis. It streamlines the data analysis process, empowering users to explore, visualize, and gain insights from their data. EDA GPT supports analyzing structured data in various formats like CSV, XLSX, and SQLite, generating graphs, and conducting in-depth analysis of unstructured data such as PDFs and images. It provides a user-friendly interface, powerful features, and capabilities like comparing performance with other tools, analyzing large language models, multimodal search, data cleaning, and editing. The tool is optimized for maximal parallel processing, searching internet and documents, and creating analysis reports from structured and unstructured data.
airbroke
Airbroke is an open-source error catcher tool designed for modern web applications. It provides a PostgreSQL-based backend with an Airbrake-compatible HTTP collector endpoint and a React-based frontend for error management. The tool focuses on simplicity, maintaining a small database footprint even under heavy data ingestion. Users can ask AI about issues, replay HTTP exceptions, and save/manage bookmarks for important occurrences. Airbroke supports multiple OAuth providers for secure user authentication and offers occurrence charts for better insights into error occurrences. The tool can be deployed in various ways, including building from source, using Docker images, deploying on Vercel, Render.com, Kubernetes with Helm, or Docker Compose. It requires Node.js, PostgreSQL, and specific system resources for deployment.
FinRobot
FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.
LLM-Viewer
LLM-Viewer is a tool for visualizing Language and Learning Models (LLMs) and analyzing performance on different hardware platforms. It enables network-wise analysis, considering factors such as peak memory consumption and total inference time cost. With LLM-Viewer, users can gain valuable insights into LLM inference and performance optimization. The tool can be used in a web browser or as a command line interface (CLI) for easy configuration and visualization. The ongoing project aims to enhance features like showing tensor shapes, expanding hardware platform compatibility, and supporting more LLMs with manual model graph configuration.
20 - OpenAI Gpts
WhiteBridgeGPT
๐๐ Crafting personalized reports, offering quick summaries and in-depth insights about individuals for enhanced engagement strategies. ๐๐ค
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Politician Trade Tracker
AI assistant for analyzing Congress members' trades for investment insights.
PSG insider
A PSG expert providing detailed team history, player stats, and match insights.
Insta Insight Advisor
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PerspectiveBot
Provide TOPIC & different views to compare: Gateway to Informed Comparisons. Harness AI-powered insights to analyze and score different viewpoints on any topic, delivering balanced, data-driven perspectives for smarter decision-making.
Behavioral Insights Researcher
Analyzes behavioral data to understand user interactions and preferences, improving product designs.
History Perspectives
I analyze historical events, offering insights from multiple perspectives.
Media Bias Checker by UnbiasedNYT
I analyze political bias in news, offering neutral, factual insights.
Wowza Bias Detective
I analyze cognitive biases in scenarios and thoughts, providing neutral, educational insights.
Earnings Analyzer
I assist you in understanding the details of a company's financial results based on provided earnings data. If you have an earnings report you'd like me to analyze, feel free to share it, and I'll provide detailed insights and interpretations!
FormGPT
Build beautiful forms and surveys for free. Analyze the submission data to uncover insights.
Message Header Analyzer
Analyzes email headers for security insights, presenting data in a structured table view.
Book Wizard
Analyzes book covers to provide summaries, insights, actions, and recommendations.
OpenXI Crisis Explainer
Analyzes the OpenAI crisis with insights and factual interpretation.
Data Analysis - SERP
it helps me analyze serp results and data from certain websites in order to create an outline for the writer
Content Evaluator
Analyzes and rates your writing using insights derived from studying LinkedIn influencers' top performing posts from the last 4 years.