Best AI tools for< Identify Critical Heads >

Small Hours is an AI-powered Root Cause Analysis (RCA) tool designed to minimize downtime and maximize efficiency for engineering teams. It offers automated RCA 24/7, streamlining on-call rotations, and providing intelligent triage of issues. The tool supports OpenTelemetry for seamless integration with any stack, hooks into existing alarms to identify critical issues, and allows for connecting codebases and runbooks as context and instructions. Small Hours is built by former engineers of Amazon and is optimized for enterprise velocity and scale, with a focus on resolving issues faster and providing accurate fixes.

Degreed is an AI-driven learning platform that offers skill-building solutions for employees, from onboarding to retention. It partners with leading vendors to provide skills-first learning experiences. The platform leverages AI to deliver efficient and effective learning experiences, personalized skill development, and data-driven insights. Degreed helps organizations identify critical skill gaps, provide personalized learning paths, and measure the impact of upskilling and reskilling initiatives. With a focus on workforce transformation, Degreed empowers companies to drive business results through continuous learning and skill development.

yesnoerror is an autonomous AI agent developed by DeSci initiative that scans scientific papers to uncover errors, inconsistencies, and flawed methods that human reviewers may have missed. The tool utilizes blockchain technology and AI to audit science at scale, aiming to enhance scientific integrity through automated error detection. By analyzing papers from renowned repositories like arXiv, bioRxiv, and medRxiv, yesnoerror helps researchers identify and correct critical issues in research, such as mathematical errors and data discrepancies.

LogicLoop is an all-in-one operations automation platform that allows users to set up alerts and automations on top of their data. It is designed to help businesses monitor their operations, identify risks, and take action to prevent problems. LogicLoop can be used by businesses of all sizes and industries, and it is particularly well-suited for businesses that are looking to improve their efficiency and reduce their risk.

SpeedLegal is a technological startup that uses Machine Learning technology (specifically Deep Learning, LLMs and genAI) to highlight the terms and the key risks of any contract. We analyze your documents and send you a simplified report so you can make a more informed decision before signing your name on the dotted line.

PubCompare is a powerful AI-powered tool that helps scientists search, compare, and evaluate experimental protocols. With over 40 million protocols in its database, PubCompare is the largest repository of trusted experimental protocols. PubCompare's AI-powered search features allow users to find similar protocols, highlight critical steps, and evaluate the reproducibility of protocols based on in-protocol citations. PubCompare is available from any computer and requires no download.

Imandra is a company that provides automated logical reasoning for Large Language Models (LLMs). Imandra's technology allows LLMs to build mental models and reason about them, unlocking the potential of generative AI for industries where correctness and compliance matter. Imandra's platform is used by leading financial firms, the US Air Force, and DARPA.

Visier is a people analytics and workforce planning software that provides insights to drive business impact. It offers solutions to solve critical people challenges, such as identifying star leaders, boosting revenue growth, managing through recessions, retaining top talent, hiring the right people, making smarter compensation decisions, creating a happier workplace, delivering on diversity goals, and promoting internal mobility. Visier helps businesses and employees succeed together by simplifying the people analytics process and enabling data-driven decision-making.

Vidrovr is a video analysis platform that uses machine learning to process unstructured video, image, or audio data. It provides business insights to help drive revenue, make strategic decisions, and automate monotonous processes within a business. Vidrovr's technology can be used to minimize equipment downtime, proactively plan for equipment replacement, leverage AI to empower mission objectives and decision making, monitor persons or topics of interest across various media sources, ensure critical infrastructure is monitored 24/7/365, and protect ecological assets.

Hirezen is an AI-powered interviewing tool designed to simplify the interview process for interviewers and hiring teams. It generates tailored interview plans with questions, helps in leading better conversations, identifies critical traits during interviews, assists in crafting meaningful feedback, and empowers users to become better interviewers. The tool aims to streamline the interviewing process and enhance the overall candidate experience.

MindBridge is a global leader in financial risk discovery and anomaly detection. The MindBridge AI Platform drives insights and assesses risks across critical business operations. It offers various products like General Ledger Analysis, Company Card Risk Analytics, Payroll Risk Analytics, Revenue Risk Analytics, and Vendor Invoice Risk Analytics. With over 250 unique machine learning control points, statistical methods, and traditional rules, MindBridge is deployed to over 27,000 accounting, finance, and audit professionals globally.

Essense is an AI-powered platform that specializes in transforming qualitative customer feedback and competitor reviews into actionable insights. By focusing on the most critical customer needs, the platform helps businesses improve product adoption, engagement, and overall customer satisfaction. Essense enables companies to make informed decisions regarding product development, marketing strategies, and competitive positioning through advanced AI analytics.

Dataminr is a leading AI company that provides real-time event, risk, and threat detection. Its revolutionary real-time AI Platform discovers the earliest signals of events, risks, and threats from within public data. Dataminr's products deliver critical information first—so organizations can respond quickly and manage crises effectively.

Poggio.io is an AI-powered solution designed for enterprise sellers to enhance their sales process. By harnessing AI agents, Poggio helps sellers build winning account plans, create business cases, and stay informed about important changes in their accounts. The platform enables users to conduct expert-level account research in seconds, tailor messaging based on value propositions, and save time on researching to focus more on selling. Poggio also assists in generating account plans quickly, staying prepared for critical interactions, and building meaningful connections with prospects.

Idea Validator is an AI-powered tool that helps entrepreneurs validate their business ideas instantly. It provides detailed reports on business viability, target audience, ideal team, business model, and more, all within minutes. Trusted by over 1750 entrepreneurs, Idea Validator offers a rapid turnaround time, affordability, and comprehensive insights to kick-start and grow business ideas. The tool covers all aspects of starting a business, ensuring users don't miss any critical components. With features like real-time web search integration, personalized reports, and expert business advisors, Idea Validator is a valuable resource for idea validation and development.

Government Technology provides email newsletters that deliver the latest news and updates on various topics relevant to government leaders, including technology trends, artificial intelligence, cybersecurity, digital communities, emergency management, government business, higher education, and K-12 education. These newsletters aim to keep subscribers informed about critical developments and best practices in their respective fields.

BigPanda is an AI-powered ITOps platform that helps businesses automatically identify actionable alerts, proactively prevent incidents, and ensure service availability. It uses advanced AI/ML algorithms to analyze large volumes of data from various sources, including monitoring tools, event logs, and ticketing systems. BigPanda's platform provides a unified view of IT operations, enabling teams to quickly identify and resolve issues before they impact business-critical services.

Skeptic Reader is a Chrome plugin that helps users detect bias and logical fallacies in real-time while browsing the internet. It uses GPT-4 technology to identify potential biases and fallacies in news articles, social media posts, and other online content. The plugin provides users with counter-arguments and suggestions for further research, helping them to make more informed decisions about the information they consume. Skeptic Reader is designed to promote critical thinking and media literacy, and it is a valuable tool for anyone who wants to navigate the online world with a more discerning eye.

ChainFuse is an AI-powered customer analytics application designed for support-focused teams. It helps businesses track trends, receive critical alerts, and gain weekly insights to minimize churn and enhance user satisfaction. By unifying siloed customer data and connecting various communication channels, ChainFuse provides a comprehensive view of the customer's social journey. The application leverages AI storytelling to simplify data analysis, identify leads, visualize real-time trends, and provide actionable insights. ChainFuse aims to prevent negative experiences, lost opportunities, and revenue loss by empowering businesses to understand their customers better and improve customer support.

Nametag is an identity verification solution designed specifically for IT helpdesks. It helps businesses prevent social engineering attacks, account takeovers, and data breaches by verifying the identity of users at critical moments, such as password resets, MFA resets, and high-risk transactions. Nametag's unique approach to identity verification combines mobile cryptography, device telemetry, and proprietary AI models to provide unmatched security and better user experiences.

DuoAttention is a framework designed to optimize long-context large language models (LLMs) by reducing memory and latency during inference without compromising their long-context abilities. It introduces a concept of Retrieval Heads and Streaming Heads to efficiently manage attention across tokens. By applying a full Key and Value (KV) cache to retrieval heads and a lightweight, constant-length KV cache to streaming heads, DuoAttention achieves significant reductions in memory usage and decoding time for LLMs. The framework uses an optimization-based algorithm with synthetic data to accurately identify retrieval heads, enabling efficient inference with minimal accuracy loss compared to full attention. DuoAttention also supports quantization techniques for further memory optimization, allowing for decoding of up to 3.3 million tokens on a single GPU.

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

Awesome-Attention-Heads is a platform providing the latest research on Attention Heads, focusing on enhancing understanding of Transformer structure for model interpretability. It explores attention mechanisms for behavior, inference, and analysis, alongside feed-forward networks for knowledge storage. The repository aims to support researchers studying LLM interpretability and hallucination by offering cutting-edge information on Attention Head Mining.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

This repository is dedicated to the pruning of large language models (LLMs). It aims to serve as a comprehensive resource for researchers and practitioners interested in the efficient reduction of model size while maintaining or enhancing performance. The repository contains various papers, summaries, and links related to different pruning approaches for LLMs, along with author information and publication details. It covers a wide range of topics such as structured pruning, unstructured pruning, semi-structured pruning, and benchmarking methods. Researchers and practitioners can explore different pruning techniques, understand their implications, and access relevant resources for further study and implementation.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

Open Parse is a Python library for visually discerning document layouts and chunking them effectively. It is designed to fill the gap in open-source libraries for handling complex documents. Unlike text splitting, which converts a file to raw text and slices it up, Open Parse visually analyzes documents for superior LLM input. It also supports basic markdown for parsing headings, bold, and italics, and has high-precision table support, extracting tables into clean Markdown formats with accuracy that surpasses traditional tools. Open Parse is extensible, allowing users to easily implement their own post-processing steps. It is also intuitive, with great editor support and completion everywhere, making it easy to use and learn.

OpenLIT is an OpenTelemetry-native GenAI and LLM Application Observability tool. It's designed to make the integration process of observability into GenAI projects as easy as pie – literally, with just **a single line of code**. Whether you're working with popular LLM Libraries such as OpenAI and HuggingFace or leveraging vector databases like ChromaDB, OpenLIT ensures your applications are monitored seamlessly, providing critical insights to improve performance and reliability.

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

Aiogram & Django API Template is a robust and secure Django template with advanced features like Docker integration, Celery for asynchronous tasks, Sentry for error tracking, Django Rest Framework for building APIs, and more. It provides scalability options, up-to-date dependencies, and integration with AWS S3 for storage. The template includes configuration guides for secrets, ports, performance tuning, application settings, CORS and CSRF settings, and database configuration. Security, scalability, and monitoring are emphasized for efficient Django API development.

Zshot is a highly customizable framework for performing Zero and Few shot named entity and relationships recognition. It can be used for mentions extraction, wikification, zero and few shot named entity recognition, zero and few shot named relationship recognition, and visualization of zero-shot NER and RE extraction. The framework consists of two main components: the mentions extractor and the linker. There are multiple mentions extractors and linkers available, each serving a specific purpose. Zshot also includes a relations extractor and a knowledge extractor for extracting relations among entities and performing entity classification. The tool requires Python 3.6+ and dependencies like spacy, torch, transformers, evaluate, and datasets for evaluation over datasets like OntoNotes. Optional dependencies include flair and blink for additional functionalities. Zshot provides examples, tutorials, and evaluation methods to assess the performance of the components.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Call Center AI is an AI-powered call center solution leveraging Azure and OpenAI GPT. It allows for AI agent-initiated phone calls or direct calls to the bot from a configured phone number. The bot is customizable for various industries like insurance, IT support, and customer service, with features such as accessing claim information, conversation history, language change, SMS sending, and more. The project is a proof of concept showcasing the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI for an automated call center solution.

I identify flaws in debates and outline reasoning errors.

Multilingual analytical critic.

A critical thinker for analyzing questions and improving answers

Enthusiastic about truth in academic papers, critical and analytical.

Friendly GPT simplifying terms and conditions, with focus on critical aspects for users.

Identify key claims and sniff past the BS with your personal AI Logic Checker and Fallacy Expert.

如名所示，我帮你核查事实性信息，分析逻辑谬误，训练并增强你的批判性思维肌肉。

Test ideas for cognitive biases or challenge your own views. Member of the Hipster Energy Team. https://hipster.energy/team

Detects and advises on cognitive biases in decision-making.

Specialist in HACCP food safety management systems

Guides users through understanding cognitive biases and fallacies

Persuasive guide on biases, " Should be taught to all at a young age", inspired by Musk's advocacy.

A guide for analyzing propaganda, based on historical and factual insights.

I assist in idea validation with a curious and analytical approach against Biases , using visuals for clarity.

Just send us an image of a scene from a video work and i will guess the name of the work!

Identify and explain mental models for various scenarios.

Analyzes images to identify landmarks and shares historical insights and captivating facts.

Identify and cherish your vintage

Food diary to help you identify food intolerance

Identify and clarify personal values to cultivate a strong sense of purpose and self-confidence