Best AI tools for< Track Engineering Metrics >

Faros AI is an AI-driven platform designed to enhance engineering productivity by providing personalized insights, guidance, and recommendations. It helps technology teams reduce bottlenecks, optimize software delivery, and improve speed and quality. The platform offers a comprehensive BI solution for software engineering, with features like AI guidance, customizable analytics, and high-security data ingestion. Faros AI is built by engineers for engineers, compatible with various data sources, and tailored to meet enterprise-scale requirements.

Stepsize AI is an AI-powered reporting tool for software development teams. It analyzes issue tracker activity to generate automated weekly updates on team and project progress. Stepsize AI provides metrics with automatic commentary, project-level AI insights, and intelligent delivery risk surfacing. It offers tailored insights, complete visibility, and unified focus, helping teams stay aligned and make timely decisions.

Upsend is an AI-powered platform designed to help software engineering candidates prepare for technical interviews. It offers mock coding interviews with personalized feedback to enhance interview performance and increase job offer conversion rates. With industry-standard metrics and actionable insights, Upsend aims to simulate real interview scenarios and provide a comprehensive preparation experience for candidates.

Elessar is an AI-powered platform designed to enhance engineering productivity by providing automatic documentation, reporting, and visibility for development teams. It seamlessly integrates with existing ecosystems, generates pull request changelogs, automates Notion documentation, offers Slack bot functionality, provides VS Code extension for easy code understanding, and links with Linear for issue tracking. Elessar ensures data privacy and security by following SOC II compliant policies and encrypting data at rest and in transit. It does not use data for training AI models. With Elessar, organizations can streamline communication, improve visibility, and boost productivity.

Reform is a modern logistics software development platform that provides pre-built modules and AI capabilities to help teams build logistics applications quickly and efficiently. It offers features such as document AI for automating data capture, universal TMS integrations for seamless connectivity, embeddable customer dashboards for real-time data visibility, and more.

ApplyPass is an automated job search AI tool designed to help job seekers optimize their job application process. It offers features such as resume optimization, automated job applications, tracking progress, and personalized profile overhaul. ApplyPass aims to save time for job seekers by applying to hundreds of jobs across platforms, enhancing visibility, and increasing interview opportunities. With a focus on software engineers, ApplyPass combines custom machine learning algorithms and human review to ensure optimized resumes for better job prospects. The tool also provides additional services like resume writing, LinkedIn optimization, and interview preparation.

Wilco is an AI-powered learning platform that offers personalized, immersive, and endless learning experiences for individuals, employees, customers, and candidates. It provides a comprehensive library of AI and technical training curriculum, adaptive learning technology, and a creator platform for generating hands-on labs. Wilco's AI engine tracks user progress and community data, offering a unique and engaging learning environment. The platform is trusted by leading products and offers quests in various programming languages, making learning fun and interactive.

Rabbit r1 is an AI tool that offers AI in action for just $199 without any subscription required. It provides a playground for learning and teaching AI, along with research resources and newsroom updates. Users can explore the rabbit os for unlimited AI stock options. The tool also allows users to make purchases and track orders seamlessly.

Dart is an AI project management software designed to streamline task execution, subtask generation, project planning, and duplicate detection. It offers features like intelligent task management, sprints, roadmaps, calendar views, document storage, meeting notes, and seamless integrations with other workplace tools. Dart is used by engineering teams, product managers, business leaders, designers, and sales professionals to enhance productivity and project outcomes.

Broadcast is an AI-powered meeting notes tool that helps managers capture meeting notes, track decisions, and automate follow-ups. It integrates with popular product development tools and provides tailored outputs based on the meeting type. Broadcast also offers automated weekly recaps, syncs action items with other tools, and provides explainability for its AI-generated summaries. It is designed to help managers lead without busywork and is trusted by engineering managers, founders, and heads of product.

Spinach is an AI-powered meeting assistant that helps users run efficient meetings by summarizing conversations, automating post-meeting work, and capturing action items. It supports 100 languages and integrates seamlessly with various tools like calendars, video meetings, and project management platforms. Spinach ensures enterprise-grade security with encryption and privacy features, making it a reliable solution for teams looking to streamline their workflow and boost productivity.

PromptLeo is a prompt engineering platform designed to empower organizations in effectively applying Generative AI. It offers a simple interface for prompt engineers to create, test, and change prompts, integrating Generative AI into daily workflows without the need to store prompts in text files. With features like prompt templates, feedback loop & iterations, access to multiple models, and a dedicated prompt engineering library, PromptLeo aims to streamline prompt management and versioning, enhance prompt performance tracking, and facilitate collaboration among team members.

Codei is an AI-powered platform designed to help individuals land their dream software engineering job. It offers features such as application tracking, question generation, and code evaluation to assist users in honing their technical skills and preparing for interviews. Codei aims to provide personalized support and insights to help users succeed in the tech industry.

Aim is an open-source, self-hosted AI Metadata tracking tool designed to handle 100,000s of tracked metadata sequences. Two most famous AI metadata applications are: experiment tracking and prompt engineering. Aim provides a performant and beautiful UI for exploring and comparing training runs, prompt sessions.

Privado AI is a privacy engineering tool that bridges the gap between privacy compliance and software development. It automates personal data visibility and privacy governance, helping organizations to identify privacy risks, track data flows, and ensure compliance with regulations such as CPRA, MHMDA, FTC, and GDPR. The tool provides real-time visibility into how personal data is collected, used, shared, and stored by scanning the code of websites, user-facing applications, and backend systems. Privado offers features like Privacy Code Scanning, programmatic privacy governance, automated GDPR RoPA reports, risk identification without assessments, and developer-friendly privacy guidance.

Bemi is an Automatic Audit Trail tool designed for PostgreSQL databases. It allows users to track data changes reliably without the need for complex engineering or costly infrastructure. Bemi offers seamless setup, contextualized data tracking, and secure data storage with military-grade encryption. It integrates with popular ORM frameworks and provides a robust audit trail for audit & compliance, observability & troubleshooting, and data recovery.

Meibel is an AI platform that empowers product and engineering leaders to accelerate their generative AI vision from pilot to production with explainable AI. The platform provides complete visibility, control, and confidence to quickly build and deploy production-ready AI systems that deliver measurable business value. Meibel offers intuitive tools for AI development, seamless data integration, enterprise-ready security, measurable impact tracking, and a future-proof platform that evolves alongside AI technology.

Untools is an AI-powered personal management toolset designed to help users make better, faster, and more confident decisions. It offers a unique blend of features that prioritize urgency and importance, such as the Eisenhower Matrix and AI Assistant for data-backed decision-making. Users can track past decisions, gain insights, and improve their decision-making process. Untools caters to professionals like entrepreneurs, researchers, and neurodivergent individuals, helping them reduce impulsive choices, prevent distractions, and improve focus. The app provides affordable pricing options and is supported by a team of experienced professionals in product design and software engineering.

DVC Studio is a collaboration tool for machine learning teams. It provides seamless data and model management, experiment tracking, visualization, and automation. DVC Studio is built for ML researchers, practitioners, and managers. It enables model organization and discovery across all ML projects and manages model lifecycle with Git, unifying ML projects with the best DevOps practices. DVC Studio also provides ML experiment tracking, visualization, collaboration, and automation using Git. It applies software engineering and DevOps best-practices to automate ML bookkeeping and model training, enabling easy collaboration and faster iterations.

NewAIForYou is a comprehensive directory of the best AI tools available in 2024. The platform is designed to help users discover and explore a wide range of AI applications that cater to various needs and industries. With daily updates, users can stay informed about the latest AI products and innovations. From image generation to storytelling, engineering calculations, video production, form building, and more, NewAIForYou offers a diverse selection of tools to enhance creativity, productivity, and efficiency.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

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.

A repository sharing the panorama of the methodology literature on Transformer architecture upgrades in Large Language Models for handling extensive context windows, with real-time updating the newest published works. It includes a survey on advancing Transformer architecture in long-context large language models, flash-ReRoPE implementation, latest news on data engineering, lightning attention, Kimi AI assistant, chatglm-6b-128k, gpt-4-turbo-preview, benchmarks like InfiniteBench and LongBench, long-LLMs-evals for evaluating methods for enhancing long-context capabilities, and LLMs-learning for learning technologies and applicated tasks about Large Language Models.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

The 'llms' repository is a comprehensive guide on Large Language Models (LLMs), covering topics such as language modeling, applications of LLMs, statistical language modeling, neural language models, conditional language models, evaluation methods, transformer-based language models, practical LLMs like GPT and BERT, prompt engineering, fine-tuning LLMs, retrieval augmented generation, AI agents, and LLMs for computer vision. The repository provides detailed explanations, examples, and tools for working with LLMs.

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.

A curated list of Generative AI projects, tools, artworks, and models

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

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.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

The `Call-for-Reviewers` repository aims to collect the latest 'call for reviewers' links from various top CS/ML/AI conferences/journals. It provides an opportunity for individuals in the computer/ machine learning/ artificial intelligence fields to gain review experience for applying for NIW/H1B/EB1 or enhancing their CV. The repository helps users stay updated with the latest research trends and engage with the academic community.

Unstract is a no-code platform that enables users to launch APIs and ETL pipelines to structure unstructured documents. With Unstract, users can go beyond co-pilots by enabling machine-to-machine automation. Unstract's Prompt Studio provides a simple, no-code approach to creating prompts for LLMs, vector databases, embedding models, and text extractors. Users can then configure Prompt Studio projects as API deployments or ETL pipelines to automate critical business processes that involve complex documents. Unstract supports a wide range of LLM providers, vector databases, embeddings, text extractors, ETL sources, and ETL destinations, providing users with the flexibility to choose the best tools for their needs.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

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