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AI Customer Support

Enhance your customer support with our AI-powered assistant. It uses artificial intelligence to analyze documents, contracts, and previous interactions, reducing response times and providing personalized support. Empower your team, improve customer satisfaction.

AI Document Assistant

Unlock valuable insights and make data-driven decisions with our AI Insights Suite. We index all your documents and data. Get smart decision support with our AI-driven solution. It indexes documents, offers valuable insights, and assists in making informed choices, saving you time and boosting productivity.

AI Scrum Bot

Streamline your agile project management with our AI Scrum Bot. This intelligent assistant helps teams by answering questions, facilitating backlog management, and organizing retrospectives. Powered by artificial intelligence, it enhances collaboration, efficiency, and productivity in your scrum process.

AI Sales Bot

AI Sales Bot – your new teammate that never sleeps! It converses with customers in fully natural language across all channels, answers questions round the clock, and learns from your sales materials to keep conversations insightful and engaging. It’s your next step towards simplified, efficient, and enhanced customer interactions and sales processes.

Custom AI Solutions for Your Business

We specialize in crafting unique AI applications to meet your specific needs. Whether it’s machine learning or natural language processing, we’ve got the right AI solution to help you achieve your business goals.

AI News

  • The Missing Piece: Combining Foundation Models and Open-Endedness for Artificial Superhuman Intelligence ASI

    The Missing Piece: Combining Foundation Models and Open-Endedness for Artificial Superhuman Intelligence ASI Recent Advances in Artificial Intelligence Recent advances in artificial intelligence, driven by foundation models, have enabled impressive progress. However, achieving artificial general intelligence remains a significant challenge. A critical missing component is a formal description of what it would take for an…

  • DiffUCO: A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization

    Practical AI Solutions for Combinatorial Optimization Value of AI in Combinatorial Optimization Sampling from complex, high-dimensional target distributions is essential in scientific fields such as predicting molecular configurations and combinatorial optimization. However, achieving unbiased samples is challenging. DiffUCO, a diffusion model framework, overcomes these challenges and outperforms other methods across various benchmarks. DiffUCO: A Breakthrough…

  • Whisper WebGPU: Real-Time in-Browser Speech Recognition with OpenAI Whisper

    Whisper WebGPU: Real-Time in-Browser Speech Recognition with OpenAI Whisper Achieving real-time speech recognition directly within a web browser has long been a sought-after milestone. Whisper WebGPU by a Hugging Face Engineer (nickname ‘Xenova’) is a groundbreaking technology that leverages OpenAI’s Whisper model to bring real-time, in-browser speech recognition to fruition. This remarkable development is a…

  • Breaking the Language Barrier for All: Sparsely Gated MoE Models Bridge the Gap in Neural Machine Translation

    Breaking the Language Barrier for All: Sparsely Gated MoE Models Bridge the Gap in Neural Machine Translation Machine translation, a critical area within natural language processing (NLP), focuses on developing algorithms to automatically translate text from one language to another. This technology is essential for breaking down language barriers and facilitating global communication. Recent advancements…

  • List of Activities and Their Corresponding Suitable LLMs in the Artificial Intelligence AI World Right Now: A Comprehensive Guide

    Choosing the Right Large Language Models (LLMs) for AI Tasks Hard Document Understanding: Claude Opus Claude Opus excels at understanding complex documents like legal texts, scientific papers, and technical manuals. It is ideal for legal research, academic analysis, and technical documentation reviews. Coding: GPT-4 Turbo GPT-4 Turbo is renowned for generating, debugging, and optimizing code…

  • FusOn-pLM: Advancing Precision Therapy for Fusion Oncoproteins through Enhanced Protein Language Modeling

    Practical Solutions for Precision Therapy with FusOn-pLM Enhanced Protein Language Modeling for Fusion Oncoproteins FusOn-pLM is a cutting-edge protein language model specifically designed to target fusion oncoproteins, which play a crucial role in cancer development, especially in pediatric cases. Traditional drug design methods often struggle to effectively target these complex proteins due to their disordered…

  • Top Artificial Intelligence AI Courses by Microsoft

    Top Artificial Intelligence AI Courses by Microsoft Fundamentals of machine learning This course provides a foundational understanding of machine learning, including core concepts, types, and considerations for training and evaluating models. It also covers deep learning fundamentals and the use of automated machine learning in Azure Machine Learning service. Create machine learning models This course…

  • Taming Long Audio Sequences: Audio Mamba Achieves Transformer-Level Performance Without Self-Attention

    Practical Solutions for Audio Classification Transformers and Audio Classification Audio classification has advanced with the adoption of transformer-based architectures, offering improved performance and the ability to handle various tasks through a unified approach, especially for functions requiring extensive contextual understanding and diverse input data types. Challenges and Solutions The computational complexity associated with transformers, particularly…

  • Sharpening LLMs: The Sharpest Tools and Essential Techniques for Precision and Clarity

    The Sharpest Tools and Essential Techniques for Precision and Clarity The ability to discern relevant and essential information from noise is crucial in AI, especially in large language models (LLMs). Explore the essential tools & techniques for refining LLMs and delivering precise, actionable insights. Retrieval-Augmented Generation (RAG): Providing Relevant Context RAG combines retrieval mechanisms with…

  • Message-Passing Monte Carlo (MPMC): A New State-of-the-Art Machine Learning Model that Generates Low-Discrepancy Points

    Practical AI Solutions for Monte Carlo and Quasi-Monte Carlo Methods Monte Carlo (MC) and Quasi-Monte Carlo (QMC) Methods MC methods are widely used for simulating real-world systems, especially in finance, numerical integration, and optimization, but they require a large number of samples for precision. QMC is a useful substitute for MC, using a point set…

  • Unveiling Chain-of-Thought Reasoning: Exploring Iterative Algorithms in Language Models

    Unveiling Chain-of-Thought Reasoning: Exploring Iterative Algorithms in Language Models Practical Solutions and Value: Chain-of-Thought (CoT) reasoning enhances the capabilities of Language Models (LLMs) by enabling them to perform more complex reasoning tasks. Despite being trained for next-token prediction, LLMs can generate detailed steps in their responses, resembling logical reasoning. Researchers have identified specialized attention mechanisms,…

  • Zyphra Introduces Zyda Dataset: A 1.3 Trillion Token Dataset for Open Language Modeling

    Zyphra Introduces Zyda Dataset: A 1.3 Trillion Token Dataset for Open Language Modeling Practical Solutions and Value Zyphra has released Zyda, a groundbreaking 1.3 trillion-token open dataset for language modeling. Zyda combines high-quality open datasets, refining them through rigorous filtering and deduplication to offer unparalleled size, quality, and accessibility. Key Features of Zyda Unmatched Token…

  • Researchers at UC Berkeley Propose a Neural Diffusion Model that Operates on Syntax Trees for Program Synthesis

    Practical AI Solutions for Code Generation and Error Correction Challenges and Existing Approaches Large language models (LLMs) revolutionize code generation but face challenges due to their autoregressive nature. Researchers are working on methodologies to utilize LLMs effectively in code generation and error correction. University of California, Berkeley’s Innovative Approach Researchers at UC Berkeley introduce an…

  • Demonstration ITerated Task Optimization (DITTO): A Novel AI Method that Aligns Language Model Outputs Directly with User’s Demonstrated Behaviors

    Practical AI Solutions for Language Models Improving Language Model Outputs Language models (LMs) can be enhanced using methods such as supervised fine-tuning and reinforcement learning with human feedback. However, these methods often require large datasets and may result in generic outputs. Addressing Challenges Several strategies have been developed to overcome these challenges, including Preference Finetuning,…

  • Meet Qwen2-72B: An Advanced AI Model With 72B Parameters, 128K Token Support, Multilingual Mastery, and SOTA Performance

    The Qwen2-72B: Revolutionizing AI with Advanced Capabilities Key Features and Performance The Qwen Team has introduced the Qwen2-72B, a cutting-edge language model with 72 billion parameters, setting new standards in size, performance, and versatility. It is part of the Qwen2 series, designed to enhance language understanding, generation, and multilingual tasks. Advanced Architecture and Benchmarking Powered…

  • SaySelf: A Machine Learning Training Framework That Teaches LLMs To Express More Accurate Fine-Grained Confidence Estimates

    Language Learning Models (LLMs) and Confidence Estimations Language Learning Models (LLMs) are skilled at reasoning and providing accurate answers. However, they may struggle with honesty about their mistakes and can provide incorrect responses when faced with unfamiliar questions. It is crucial to determine how to obtain trustworthy confidence estimations from LLMs, especially for responses longer…

  • Modeling Cultural Accumulation in Artificial Reinforcement Learning Agents

    Modeling Cultural Accumulation in Artificial Reinforcement Learning Agents Practical Solutions and Value Cultural accumulation, the ability to learn skills and accumulate knowledge across generations, is crucial for human success. However, current artificial learning systems face challenges in achieving effective cultural accumulation. Our research proposes robust models that balance social learning and independent exploration, enabling artificial…

  • This AI Research Discusses Achieving Efficient Large Language Models (LLMs) by Eliminating Matrix Multiplication for Scalable Performance

    Practical Solutions for Efficient Large Language Models (LLMs) Optimizing Matrix Multiplication for Enhanced Performance Neural network topologies heavily rely on matrix multiplication (MatMul) for essential processes. Utilizing linear algebra libraries like cuBLAS and CUDA enables MatMul operations to be effectively parallelized and accelerated, greatly improving performance. Reducing Memory Use and Lowering Energy Consumption Research has…

  • 10 GPTs for Software Developers

    Practical AI Solutions for Software Developers Revolutionary GPT Features OpenAI has introduced GPTs, which are custom versions of ChatGPT tailored to specific tasks such as writing, productivity, research, and more. These GPTs are accessible to anyone with an internet connection and a ChatGPT account, offering invaluable resources for developers of all skill levels. Trending GPTs…

  • CheckMate: An Adaptable AI Platform for Evaluating Language Models by Their Interactions with Human Users

    CheckMate: An Adaptable AI Platform for Evaluating Language Models by Their Interactions with Human Users Large Language Models (LLMs) like ChatGPT and GPT-4 have significantly advanced, allowing natural language interactions. However, evaluating their performance in real-time human-machine interactions is essential for improving accuracy. Practical Solutions and Value CheckMate, introduced by researchers from leading universities, addresses…

Unified by Technology

Our teams are a diverse group of talented individuals working remotely from different corners of the world. With members proficient in seven languages, we value and embrace diversity. However, what truly unites us is our shared passion for the language of modern technology. We come together to collaborate, innovate, and harness the power of cutting-edge technology to create exceptional solutions.