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Figure is a pioneering AI robotics company that is revolutionizing the global workforce by introducing the world's first commercially-viable autonomous humanoid robot. By combining cutting-edge AI technology with the dexterity of the human form, Figure aims to enhance human capabilities, address labor shortages, and improve workplace safety. The company's innovative approach is reshaping industries such as manufacturing, logistics, warehousing, and retail, offering a glimpse into the future of AI-driven robotics.

Verble is an AI speech-writing assistant that helps users master the art of verbal persuasion and storytelling. With over 7500 speeches written, Verble guides users through the process of creating impactful speeches for various occasions, from business pitches to wedding speeches. The tool offers a chat feature to kickstart the speech preparation, creates organized drafts based on user input, and provides smart editing techniques inspired by renowned speakers. Verble aims to empower individuals to share their stories effectively and confidently, offering a user-friendly interface and innovative speaker techniques.

Shufti Pro is an award-winning global identity verification platform that provides businesses with a suite of tools to verify the identities of their customers. The platform uses artificial intelligence (AI) to automate the identity verification process, making it faster, more accurate, and more secure. Shufti Pro's solutions are used by businesses in a variety of industries, including banking, fintech, crypto, forex, gaming, insurance, education, healthcare, e-commerce, and travel.

Hive AI provides a suite of AI models and solutions for understanding, searching, and generating content. Their AI models can be integrated into applications via APIs, enabling developers to add advanced content understanding capabilities to their products. Hive AI's solutions are used by businesses in various industries, including digital platforms, sports, media, and marketing, to streamline content moderation, automate image search and authentication, measure sponsorships, and monetize ad inventory.

Zopto is an AI-powered LinkedIn Automation & Omni-channel Sales Platform trusted by thousands of companies for driving sales through omni-channel outreach. The platform leverages advanced AI technology to streamline business development processes, removing guesswork and manual effort. With features like omnichannel campaigns, real-time reporting, secure prospecting, and an AI-powered campaign assistant named Zhoo, Zopto offers a comprehensive solution for lead generation and customer engagement. The platform's cloud-based software, proprietary platform, and unlimited support ensure a seamless user experience and efficient lead generation strategies.

ThirdEye Data is a data and AI services & solutions provider that enables enterprises to improve operational efficiencies, increase production accuracies, and make informed business decisions by leveraging the latest Data & AI technologies. They offer services in data engineering, data science, generative AI, computer vision, NLP, and more. ThirdEye Data develops bespoke AI applications using the latest data science technologies to address real-world industry challenges and assists enterprises in leveraging generative AI models to develop custom applications. They also provide AI consulting services to explore potential opportunities for AI implementation. The company has a strong focus on customer success and has received positive reviews and awards for their expertise in AI, ML, and big data solutions.

NeuReality is an AI-centric solution designed to democratize AI adoption by providing purpose-built tools for deploying and scaling inference workflows. Their innovative AI-centric architecture combines hardware and software components to optimize performance and scalability. The platform offers a one-stop shop for AI inference, addressing barriers to AI adoption and streamlining computational processes. NeuReality's tools enable users to deploy, afford, use, and manage AI more efficiently, making AI easy and accessible for a wide range of applications.

Iambic Therapeutics is a cutting-edge AI-driven drug discovery platform that tackles the most challenging design problems in drug discovery, addressing unmet patient need. Its physics-based AI algorithms drive a high-throughput experimental platform, converting new molecular designs to new biological insights each week. Iambic's platform optimizes target product profiles, exploring multiple profiles in parallel to ensure that molecules are designed to solve the right problems in disease biology. It also optimizes drug candidates, deeply exploring chemical space to reveal novel mechanisms of action and deliver diverse high-quality leads.

Transcriptmate is an AI-powered audio to text transcription tool that offers automatic transcription with high accuracy. Users can easily convert audio files to text in just 2 clicks, with the option to add features like diarization and AI content crafting. The tool supports multiple languages, provides transcriptions in various formats, and ensures safe payments. Transcriptmate is recommended by customers for its efficiency, accuracy, and user-friendly interface.

Dhisana AI is an AI-powered platform that offers AI Assistants to automate and scale essential roles across organizations, including marketing, sales, customer support, and operations. It enables users to automate tasks, boost productivity, simplify booking processes, collaborate efficiently, and organize and track information effortlessly. The platform provides efficient assistance, personalized customer interactions, and smart solutions to enhance business operations and drive growth.

Google.org is a philanthropic organization that aims to bring the best of Google to help solve humanity's biggest challenges. They combine funding, innovation, and technical expertise to support underserved communities and provide opportunities for everyone. The organization focuses on using AI to address various issues, such as increasing college graduation rates, supporting robotics programs for middle schoolers, and funding projects that align with the UN's Sustainable Development Goals. Google.org is committed to making long-term investments in social impact initiatives, including racial justice and COVID-19 relief efforts. They collaborate with innovative nonprofits and social enterprises to amplify their impact using Google's resources.

The Coalition for Health AI (CHAI) is an AI application that provides guidelines for the responsible use of AI in health. It focuses on developing best practices and frameworks for safe and equitable AI in healthcare. CHAI aims to address algorithmic bias and collaborates with diverse stakeholders to drive the development, evaluation, and appropriate use of AI in healthcare.

Disprz is a Skills & Learning Platform designed to accelerate onboarding, job readiness, career mobility, and upskilling/reskilling to address talent gaps. It offers AI-driven personalized skilling, mobile-first frontline enablement, feature-rich mobile learning, decision support dashboard & analytics, and a marketplace ecosystem. The platform simplifies skills and roles, provides market intelligence on trending skills, and helps in identifying critical skills aligned with business strategy. It enables personalized learning experiences, career growth opportunities, leadership talent pipeline creation, and data-driven decision-making for learning investments.

World Summit AI is the most important summit for the development of strategies on AI, spotlighting worldwide applications, risks, benefits, and opportunities. It gathers global AI ecosystem stakeholders to set the global AI agenda in Amsterdam every October. The summit covers groundbreaking stories of AI in action, deep-dive tech talks, moonshots, responsible AI, and more, focusing on human-AI convergence, innovation in action, startups, scale-ups, and unicorns, and the impact of AI on economy, employment, and equity. It addresses responsible AI, governance, cybersecurity, privacy, and risk management, aiming to deploy AI for good and create a brighter world. The summit features leading innovators, policymakers, and social change makers harnessing AI for good, exploring AI with a conscience, and accelerating AI adoption. It also highlights generative AI and limitless potential for collaboration between man and machine to enhance the human experience.

Omdena is an AI platform that focuses on building AI solutions for real-world problems through global collaboration. They offer services ranging from local AI development to enterprise-level products, fostering talent development, and enabling AI professionals to make a positive impact. Omdena runs AI innovation challenges, deployment & product engineering, enterprise AI solutions, and grassroots AI initiatives. The platform empowers learners with quality education in machine learning and artificial intelligence, removing financial and geographic barriers. Omdena has successfully developed over 650 solutions, worked with 250+ organizations, and is trusted by impact-driven organizations worldwide.

Cresta AI is a generative AI platform built for the contact center and trained on your data. It provides a suite of products that use AI to improve contact center performance, including Conversation Intelligence, Agent Assist, Knowledge Assist, and Virtual Agent. Cresta AI is used by leading companies in a variety of industries, including financial services, healthcare, and retail.

Google DeepMind is an AI tool developed by Google with a mission to build AI responsibly to benefit humanity. The platform offers various AI technologies such as Gemini, AlphaFold, Imagen, Veo, and more, to address complex challenges across different domains. Google DeepMind focuses on research, education, and career development in the AI ecosystem, emphasizing responsibility, safety, and inclusivity. The platform aims to empower users with cutting-edge AI models and breakthroughs, enabling them to explore the transformative potential of artificial intelligence.

Mainstay is a Student Success Coaching platform that combines human-centered approaches with AI technology to guide learners towards success. The platform provides personalized success coaching for students, saves time for staff, and offers insights for institutional leaders to understand and respond to student needs instantly. Mainstay uses the Science of Coaching and the SPARK Coaching Model to elevate student and staff performance. The platform focuses on human connections, belonging, and success for all learners by addressing barriers and engaging students with cultural relevance and personalization.

DEUS is a data and artificial intelligence company that empowers organizations to advance value creation by unlocking the true value within their data and applying AI services. They offer services in data science, engineering, design, and strategy, partnering with organizations to benefit people, business, and society. DEUS also focuses on addressing wicked problems and societal challenges through human-centered artificial intelligence initiatives. They help organizations launch AI projects that create real value and partner across the product and service lifecycle.

Genesis Therapeutics is a cutting-edge platform that leverages molecular AI technology to discover and develop highly potent and selective medicines. Their proprietary Generative AI for Drug Discovery (GEMS) platform combines AI and physics research to identify drug candidates against challenging targets with unprecedented speed and accuracy. The company's innovative approach, powered by collaborative minds across AI and biotech, is revolutionizing the drug discovery process.

Prometheus-Eval is a repository dedicated to evaluating large language models (LLMs) in generation tasks. It provides state-of-the-art language models like Prometheus 2 (7B & 8x7B) for assessing in pairwise ranking formats and achieving high correlation scores with benchmarks. The repository includes tools for training, evaluating, and using these models, along with scripts for fine-tuning on custom datasets. Prometheus aims to address issues like fairness, controllability, and affordability in evaluations by simulating human judgments and proprietary LM-based assessments.

OpenAdapt is an open-source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). It aims to automate repetitive GUI workflows by leveraging the power of LMMs. OpenAdapt records user input and screenshots, converts them into tokenized format, and generates synthetic input via transformer model completions. It also analyzes recordings to generate task trees and replay synthetic input to complete tasks. OpenAdapt is model agnostic and generates prompts automatically by learning from human demonstration, ensuring that agents are grounded in existing processes and mitigating hallucinations. It works with all types of desktop GUIs, including virtualized and web, and is open source under the MIT license.

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.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

This repository provides a curated list of open-source projects that implement instruction-tuned large language models (LLMs) with reinforcement learning from human feedback (RLHF). The projects are evaluated in terms of their openness across a predefined set of criteria in the areas of Availability, Documentation, and Access. The goal of this repository is to promote transparency and accountability in the development and deployment of LLMs.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

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.

Awesome-LLM-in-Social-Science is a repository that compiles papers evaluating Large Language Models (LLMs) from a social science perspective. It includes papers on evaluating, aligning, and simulating LLMs, as well as enhancing tools in social science research. The repository categorizes papers based on their focus on attitudes, opinions, values, personality, morality, and more. It aims to contribute to discussions on the potential and challenges of using LLMs in social science research.

JSON Repair is a toolkit designed to address JSON anomalies that can arise from Large Language Models (LLMs). It offers a comprehensive solution for repairing JSON strings, ensuring accuracy and reliability in your data processing. With its user-friendly interface and extensive capabilities, JSON Repair empowers developers to seamlessly integrate JSON repair into their workflows.

StableToolBench is a new benchmark developed to address the instability of Tool Learning benchmarks. It aims to balance stability and reality by introducing features such as a Virtual API System with caching and API simulators, a new set of solvable queries determined by LLMs, and a Stable Evaluation System using GPT-4. The Virtual API Server can be set up either by building from source or using a prebuilt Docker image. Users can test the server using provided scripts and evaluate models with Solvable Pass Rate and Solvable Win Rate metrics. The tool also includes model experiments results comparing different models' performance.

StableToolBench is a new benchmark developed to address the instability of Tool Learning benchmarks. It aims to balance stability and reality by introducing features like Virtual API System, Solvable Queries, and Stable Evaluation System. The benchmark ensures consistency through a caching system and API simulators, filters queries based on solvability using LLMs, and evaluates model performance using GPT-4 with metrics like Solvable Pass Rate and Solvable Win Rate.

LangSim is a tool developed to address the challenge of using simulation tools in computational chemistry and materials science, which typically require cryptic input files or programming experience. The tool provides a Large Language Model (LLM) extension with agents to couple the LLM to scientific simulation codes and calculate physical properties from a natural language interface. It aims to simplify the process of interacting with simulation tools by enabling users to query the large language model directly from a Python environment or a web-based interface.

MME-RealWorld is a benchmark designed to address real-world applications with practical relevance, featuring 13,366 high-resolution images and 29,429 annotations across 43 tasks. It aims to provide substantial recognition challenges and overcome common barriers in existing Multimodal Large Language Model benchmarks, such as small data scale, restricted data quality, and insufficient task difficulty. The dataset offers advantages in data scale, data quality, task difficulty, and real-world utility compared to existing benchmarks. It also includes a Chinese version with additional images and QA pairs focused on Chinese scenarios.

LAMBDA is a code-free multi-agent data analysis system that utilizes large models to address data analysis challenges in complex data-driven applications. It allows users to perform complex data analysis tasks through human language instruction, seamlessly generate and debug code using two key agent roles, integrate external models and algorithms, and automatically generate reports. The system has demonstrated strong performance on various machine learning datasets, enhancing data science practice by integrating human and artificial intelligence.

SatoshiVM Pioneers NFT is a collection of NFTs issued by SatoshiVM team to reward early contributors. The repository contains information about the NFT collection, including the contract address and winner list.

Acte is a framework designed to build GUI-like tools for AI Agents. It aims to address the issues of cognitive load and freedom degrees when interacting with multiple APIs in complex scenarios. By providing a graphical user interface (GUI) for Agents, Acte helps reduce cognitive load and constraints interaction, similar to how humans interact with computers through GUIs. The tool offers APIs for starting new sessions, executing actions, and displaying screens, accessible via HTTP requests or the SessionManager class.

The Radicalbit AI Monitoring Platform provides a comprehensive solution for monitoring Machine Learning and Large Language models in production. It helps proactively identify and address potential performance issues by analyzing data quality, model quality, and model drift. The repository contains files and projects for running the platform, including UI, API, SDK, and Spark components. Installation using Docker compose is provided, allowing deployment with a K3s cluster and interaction with a k9s container. The platform documentation includes a step-by-step guide for installation and creating dashboards. Community engagement is encouraged through a Discord server. The roadmap includes adding functionalities for batch and real-time workloads, covering various model types and tasks.

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