Best AI tools for< Race Analyst >

XLSCOUT is an SOC 2 Type II-compliant, AI super intelligence platform for innovation and IP. It offers a comprehensive solution from instant prior-art searches and AI-assisted ideation to drafting high-quality patents and monetizing innovation. Leveraging Large Language Models (LLMs) and Generative AI, XLSCOUT provides high-quality IP data for patent search and analytics, automates R&D and IP workflows, and helps users stay ahead in the innovation and IP race. The platform ensures top security standards for protecting client data and complies with various industry standards like SOC 2, PCI, ISO, NIST, GDPR, CCPA, HIPAA, and CSA STAR.

Skillroads is a trusted AI resume maker that empowers users in their job search process. The platform offers a range of services including resume writing, editing, LinkedIn profile makeover, AI resume checker, and career tips. Skillroads leverages Artificial Intelligence to create tailored resumes, cover letters, and job matches for users. The application simplifies the job application process by providing personalized job openings from top companies and career development plans. Users can access various career services, including resume creation, cover letter writing, and interview help, to enhance their job search experience.

ConquerortheCrown is an AI-powered mentor that provides guidance and support to users. It is designed to help users achieve their goals and live a more fulfilling life. ConquerortheCrown uses a variety of AI techniques to provide personalized advice and support to users. It can help users with a variety of tasks, including setting goals, making decisions, and overcoming challenges.

NSFW Character AI is a free and unfiltered AI chatbot that allows users to create and interact with their own custom AI characters. With NSFW Character AI, you can create characters of any gender, race, or sexual orientation, and explore a wide range of topics, including sex, relationships, and other adult themes. NSFW Character AI is a great way to explore your sexuality and fantasies in a safe and private environment.

The Dwarf Name Generator is an AI-powered tool that generates unique and authentic dwarven names for role-playing games. It offers two modes: Soldier Mode for quick name generation and Hero Mode for detailed character profiles. The generator draws from a vast ocean of linguistic data, historical records, and creative literature to create names that are not only unique but also deeply rooted in the fantasy genre's most cherished traditions. It is designed to enhance the role-playing experience by providing players with names that resonate with their character's race, class, and personal journey.

Empathy is a comprehensive support system designed to help families navigate through life's most challenging moments, particularly in times of loss. The platform offers personalized Care Plans, time-saving tools, grief support resources, and assistance with probate processes. Empathy aims to reduce stress and financial burden for families by providing emotional and logistical support. The application is trusted by leading organizations and is dedicated to supporting individuals regardless of age, race, religion, ethnicity, gender identity, or sexual orientation.

KaibanJS is a JavaScript-native framework for building multi-agent AI systems. It enables users to create specialized AI agents with distinct roles and goals, manage tasks, and coordinate teams efficiently. The framework supports role-based agent design, tool integration, multiple LLMs support, robust state management, observability and monitoring features, and a real-time agentic Kanban board for visualizing AI workflows. KaibanJS aims to empower JavaScript developers with a user-friendly AI framework tailored for the JavaScript ecosystem, bridging the gap in the AI race for non-Python developers.

Phidata is a framework for building AI Assistants with memory, knowledge, and tools. It enables LLMs to have long-term conversations by storing chat history in a database, provides them with business context by storing information in a vector database, and enables them to take actions like pulling data from an API, sending emails, or querying a database. Memory and knowledge make LLMs smarter, while tools make them autonomous.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

E2M is a Python library that can parse and convert various file types into Markdown format. It supports the conversion of multiple file formats, including doc, docx, epub, html, htm, url, pdf, ppt, pptx, mp3, and m4a. The ultimate goal of the E2M project is to provide high-quality data for Retrieval-Augmented Generation (RAG) and model training or fine-tuning. The core architecture consists of a Parser responsible for parsing various file types into text or image data, and a Converter responsible for converting text or image data into Markdown format.

AIShield Watchtower is a tool designed to fortify the security of AI/ML models and Jupyter notebooks by automating model and notebook discoveries, conducting vulnerability scans, and categorizing risks into 'low,' 'medium,' 'high,' and 'critical' levels. It supports scanning of public GitHub repositories, Hugging Face repositories, AWS S3 buckets, and local systems. The tool generates comprehensive reports, offers a user-friendly interface, and aligns with industry standards like OWASP, MITRE, and CWE. It aims to address the security blind spots surrounding Jupyter notebooks and AI models, providing organizations with a tailored approach to enhancing their security efforts.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

Large Language Models Play StarCraft II is a project that explores the capabilities of large language models (LLMs) in playing the game StarCraft II. The project introduces TextStarCraft II, a textual environment for the game, and a Chain of Summarization method for analyzing game information and making strategic decisions. Through experiments, the project demonstrates that LLM agents can defeat the built-in AI at a challenging difficulty level. The project provides benchmarks and a summarization approach to enhance strategic planning and interpretability in StarCraft II gameplay.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

The collection is actively updated with the help of an internal literature search engine.

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**

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

Your go-to expert for all things Formula 1 racing. Get lap times, pit stop times, driver & team standings and other race related statistics. Developed by apexbite.com

World's leading Formula 1 racing expert

Bot expert in F1 data analysis and race insights.

I'm your race engineer!

I offer real world solutions for complex problems in the best interest of every race on Earth.

競馬学習に然点を当てたGPT、実用的で直接的な情報を提供。

An expert in horse racing statistics and data analysis with a serious, explanatory and technical tone.

F1 FIA Bot explains regulations.

Your quirky pit crew chief for top-notch sim racing advice

Let me help you expand your online presence, attract new customers, and retain them effectively. Here's a structured approach we can take based on the RACE (Reach, Act, Convert, Engage) framework

Design your perfect race calendar and training plans for your next race.

Expert ultramarathon guide offering tailored training and race strategies.

Expert in Nissan 370Z & 350Z modifications, offering tailored vehicle upgrade advice.

Creates F1 posters of real and fictional Grand Prix races.

Your guide to sailing and racing on a Hobie Wave.

Get the bootcamp training from comfort of your home.

Expert Homebrew DND tool for crafting detailed monsters, items, spells, races, classes with rich lore, stats, and habitats. V0.9: The Description Update - Added reactions, equipment and more to monster creation as well as more detail.