Best AI tools for< Identify Performance Bottlenecks >

ScrumDesk is an online scrum and kanban project management tool for agile teams. It supports objectives and key results, user stories mapping, retrospectives, root cause analysis and many great agile practices. Since 2007.

Netify provides network intelligence and visibility. Its solution stack starts with a Deep Packet Inspection (DPI) engine that passively collects data on the local network. This lightweight engine identifies applications, protocols, hostnames, encryption ciphers, and other network attributes. The software can be integrated into network devices for traffic identification, firewalling, QoS, and cybersecurity. Netify's Informatics engine collects data from local DPI engines and uses the power of a public or private cloud to transform it into network intelligence. From device identification to cybersecurity risk detection, Informatics provides a way to take a proactive approach to manage network threats, bottlenecks, and usage. Lastly, Netify's Data Feeds provide data to help vendors understand how applications behave on the Internet.

ManageBetter is a performance management platform that uses AI to help businesses improve employee performance. It offers a range of features, including continuous feedback, performance reviews, employee insights, and project achievement tracking. ManageBetter is designed to be easy to use and efficient, saving managers time and helping them to focus on developing their teams.

Blobr is an AI tool designed to optimize ad spend effortlessly. It utilizes AI to analyze ad campaigns, ad copies, and performance to identify optimizations that save time and money. By continuously monitoring keywords, KPIs, and products, Blobr provides deep insights and correlations, suggesting improvements and new keywords. The tool helps in budget allocation, finding duplicates, recommending ad changes, and analyzing ad performance data. Blobr operates 24/7, offering proactive insights and recommendations to enhance ad campaigns and improve ROI.

Bidmatic.io is a publisher-centric monetization platform that helps publishers maximize their revenue through programmatic advertising. It offers a range of features including header bidding, programmatic direct sales, and access to premium demand partners. Bidmatic.io's AI-powered optimization technology helps publishers select the best set of partners for each auction in real-time, maximizing yield and ad quality. The platform also provides detailed and transparent reporting, allowing publishers to track their performance and identify optimization opportunities.

Flamel.ai is a social media management platform designed specifically for multi-location brands and franchises. It enables businesses to manage social media content and engagement across all of their locations from a centralized platform. Flamel.ai uses AI to help businesses create personalized and engaging content that resonates with local audiences. The platform also provides analytics and insights to help businesses track their social media performance and identify areas for improvement.

Retorio is a cutting-edge Behavioral Intelligence (BI) Platform that fuses machine learning with scientific findings from psychology and organizational research to ultimately take learning and development to a new level within organizations. At the core of Retorio’s capabilities are its AI-powered immersive video simulations. Through these engaging role-plays, learners using Retorio get to train and develop the necessary skills through realistic scenarios. Furthermore, the personalized, on-demand feedback learners receive allows for immediate behavior change and performance improvement. Retorio’s training platform transcends the limitation of scalability and redefines how individuals and teams train and develop, bringing talent development to a new dimension.

Inspectorio is an AI-powered supply chain management platform that helps businesses transform their production chains. It digitizes and connects supply chain management processes within a single tool, enabling intelligent analysis and scalability of operations. Inspectorio's platform empowers teams to achieve strategic sustainability and sourcing goals through data-driven insights, increased transparency, and operational efficiencies.

Perspect is an AI-powered platform designed for high-performance software teams. It offers real-time insights into team contributions and impact, optimizing developer experience, and rewarding high-performers. With 50+ integrations, Perspect enables visualization of impact, benchmarking performance, and uses machine learning models to identify and eliminate blockers. The platform is deeply integrated with web3 wallets and offers built-in reward mechanisms. Managers can align resources around crucial KPIs, identify top talent, and prevent burnout. Perspect aims to enhance team productivity and employee retention through AI and ML technologies.

This website is an AI tool that helps senior developers analyze AI tech debt. AI tech debt is the technical debt that accumulates when AI systems are developed and deployed. It can be difficult to identify and quantify AI tech debt, but it can have a significant impact on the performance and reliability of AI systems. This tool uses a variety of techniques to analyze AI tech debt, including static analysis, dynamic analysis, and machine learning. It can help senior developers to identify and quantify AI tech debt, and to develop strategies to reduce it.

LogRocket is a session replay, product analytics, and issue detection platform that helps software teams deliver the best web and mobile experiences. With LogRocket, you can see exactly what users experienced on your app, as well as DOM playback, console and network logs, errors, and performance data. You can also surface the most impactful user issues with JavaScript errors, network errors, stack traces, automatic triaging, and alerting. LogRocket also provides product analytics to help you understand how users are interacting with your app, and UX analytics to help you visualize how users experience your app at both the individual and aggregate level.

InSummary is an AI-powered tool that automates the creation of performance reviews and status reports. It connects with your calendar and uses this data to generate personalized and insightful reports that save you time and effort. With InSummary, you can easily identify and communicate your work focus and accomplishments, get feedback from peers, and share your progress with your team and managers.

WorkViz is an AI-powered performance tool designed for remote teams to visualize productivity, maximize performance, and foresee the team's potential. It offers features such as automated daily reports, employee voice expression through emojis, workload management alerts, productivity solutions, and intelligent summaries. WorkViz ensures data security through guaranteed audit, desensitization, and SSL security protocols. The application has received positive feedback from clients for driving improvements, providing KPIs and benchmarks, and simplifying daily reporting. It helps users track work hours, identify roadblocks, and improve team performance.

VideaHealth is a dental AI platform trusted by dentists and DSOs. It enhances diagnostics and streamlines workflows using clinical AI to identify and convert treatments across major oral conditions. The platform combines practice management system data with AI insights to elevate patient care and empower dental practices. VideaHealth offers advanced FDA-cleared detection algorithms to detect suspect diseases, provides AI-powered insights for data-driven decisions, and delivers real-time chairside assistance to dentists.

Graphio is an AI-driven employee scoring and scenario builder tool that leverages continuous, real-time scoring with AI agents to assess potential, predict flight risks, and identify future leaders. It replaces subjective evaluations with AI-driven insights to ensure accurate, unbiased decisions in talent management. Graphio uses AI to remove bias in talent management, providing real-time, data-driven insights for fair decisions in promotions, layoffs, and succession planning. It offers compliance features and rules that users can control, ensuring accurate and secure assessments aligned with legal and regulatory requirements. The platform focuses on security, privacy, and personalized coaching to enhance employee engagement and reduce turnover.

TechTarget is a leading provider of purchase intent data and marketing services for the technology industry. Our data-driven solutions enable technology companies to identify and engage with their target audiences, and to measure the impact of their marketing campaigns. We offer a range of products and services, including:

Dicer.ai is a performance marketing SaaS platform that helps clients optimize their ad creatives and campaign strategies to drive more conversions. Our platform is built by expert marketers and powered by AI, bridging the gap between creative, analytics, and media buying.

Level AI is a provider of artificial intelligence (AI)-powered solutions for call centers. Its products include GenAI-automated Quality Assurance, Contact Center and Business Analytics, GenAI-powered VoC Insights, AgentGPT Real-Time Agent Assist, Agent Coaching, Agent Screen Recording, and Artificial Intelligence Integrations. Level AI's solutions are designed to help businesses improve customer experience, increase efficiency, and reduce costs. The company's customers include some of the world's leading customer service organizations, such as Brex and ezCater.

Hexometer is an AI-powered website monitoring tool that helps businesses protect and grow their online presence. It continuously monitors websites for availability, performance, user experience, SEO, health, and security issues, and alerts businesses when problems are detected. Hexometer also provides businesses with insights into their website's performance and helps them identify opportunities for improvement.

Giskard is a testing platform for AI models that helps protect companies against biases, performance, and security issues in AI models. It offers automated detection of performance, bias, and security issues, unifies AI testing practices, and ensures compliance with the EU AI Act. Giskard provides an open-source Python library for data scientists and an enterprise collaborative hub to control all AI risks in one place. It aims to address the shortcomings of current MLOps tools in handling AI risks and compliance.

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.

SuperBench is a validation and profiling tool for AI infrastructure. It provides a comprehensive set of tests and benchmarks to evaluate the performance and reliability of AI systems. The tool helps users identify bottlenecks, optimize configurations, and ensure the stability of their AI infrastructure. SuperBench is designed to streamline the validation process and improve the overall efficiency of AI deployments.

GuideLLM is a powerful tool for evaluating and optimizing the deployment of large language models (LLMs). By simulating real-world inference workloads, GuideLLM helps users gauge the performance, resource needs, and cost implications of deploying LLMs on various hardware configurations. This approach ensures efficient, scalable, and cost-effective LLM inference serving while maintaining high service quality. Key features include performance evaluation, resource optimization, cost estimation, and scalability testing.

The Neutone SDK is a tool designed for researchers to wrap their own audio models and run them in a DAW using the Neutone Plugin. It simplifies the process by allowing models to be built using PyTorch and minimal Python code, eliminating the need for extensive C++ knowledge. The SDK provides support for buffering inputs and outputs, sample rate conversion, and profiling tools for model performance testing. It also offers examples, notebooks, and a submission process for sharing models with the community.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.

Scalene is a high-performance CPU, GPU, and memory profiler for Python that provides detailed information and runs faster than many other profilers. It incorporates AI-powered proposed optimizations, allowing users to generate optimization suggestions by clicking on specific lines or regions of code. Scalene separates time spent in Python from native code, highlights hotspots, and identifies memory usage per line. It supports GPU profiling on NVIDIA-based systems and detects memory leaks. Users can generate reduced profiles, profile specific functions using decorators, and suspend/resume profiling for background processes. Scalene is available as a pip or conda package and works on various platforms. It offers features like profiling at the line level, memory trends, copy volume reporting, and leak detection.

Neural Speed is an innovative library designed to support the efficient inference of large language models (LLMs) on Intel platforms through the state-of-the-art (SOTA) low-bit quantization powered by Intel Neural Compressor. The work is inspired by llama.cpp and further optimized for Intel platforms with our innovations in NeurIPS' 2023

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.

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.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

Qwen is a series of large language models developed by Alibaba DAMO Academy. It outperforms the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen models outperform the baseline models of similar model sizes on a series of benchmark datasets, e.g., MMLU, C-Eval, GSM8K, MATH, HumanEval, MBPP, BBH, etc., which evaluate the models’ capabilities on natural language understanding, mathematic problem solving, coding, etc. Qwen-72B achieves better performance than LLaMA2-70B on all tasks and outperforms GPT-3.5 on 7 out of 10 tasks.

PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.

Enthusiastic Java code optimizer with a focus on clarity and encouragement.

Expert on computing performance, inspired by Brendan Gregg.

Assists in optimizing SQL code with best practices and efficiency tips.

为 Java 代码优化提供高级解决方案

Expert in Vue.js performance optimization, offering tailored advice.

优化代码，提升运行速度的专家

AI-powered sports analytics expert for sportsmind.io users.

Does Pool Performance of Elite Triathletes Predict Open-Water Performance?

Guides project success through comprehensive performance monitoring.

Optimizes supplier performance for organizational efficiency and growth.

A career coach aiding in writing self-evaluations.

I'm your go-to for sports analysis and visualisations.

Drives financial performance improvement via strategic analysis and advice.

Enhances organizational performance through strategic skills development initiatives.

Analisi dettagliate e statistiche per il fantacalcio. Strategie, formazioni vincenti, e suggerimenti di mercato per la Serie A. Perfetto per chi cerca il podio nel proprio campionato. Aggiornamenti continui sui giocatori, performance e infortuni. Tutto quello che serve per la tua squadra ideale

Badminton Performance Analyst

Maximize your Stock Portfolio Performance with the Pareto Principle

Summarizes Indian companies, excluding financial performance in news.

Analyzes AFL draft data to evaluate clubs' historical performance

Guides in creating a Work Contribution Record Table.