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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

  • Advancing Reliable Question Answering with the CRAG Benchmark

    Advancing Reliable Question Answering with the CRAG Benchmark Large Language Models (LLMs) have transformed Natural Language Processing (NLP), especially in Question Answering (QA). However, LLMs still struggle with generating accurate responses, leading to the challenge of “hallucination.” Retrieval-Augmented Generation (RAG) offers a promising solution to address this issue by improving the knowledge base of LLMs.…

  • Can Machines Plan Like Us? NATURAL PLAN Sheds Light on the Limits and Potential of Large Language Models

    Natural Language Processing (NLP) in AI NLP uses algorithms to understand and generate human language, aiming to bridge the gap between human communication and computer understanding. It covers language translation, sentiment analysis, and language generation, providing essential tools for technological advancements and human-computer interaction. Challenges in Planning Tasks using Large Language Models (LLMs) Efficient planning…

  • Researchers at the University of Illinois have developed AI Agents that can Autonomously Hack Websites and Find Zero-Day Vulnerabilities

    Researchers at the University of Illinois have developed AI Agents that can Autonomously Hack Websites and Find Zero-Day Vulnerabilities Practical AI Solutions and Value AI is advancing rapidly, allowing autonomous AI agents to discover real-world zero-day vulnerabilities and execute website hacks. The researchers’ AI agents, using a system called HPTSA, have proven to be highly…

  • The Evolution of Chinese Large Language Models (LLMs)

    The Evolution of Chinese Large Language Models (LLMs) Yi Yi models, with 34B and 6B parameter versions, combine semantic language spaces with visual representations, ensuring reliable results and strong performance on a range of tasks. HF Page: 01-ai GitHub Page: 01-ai/Yi QWEN QWEN series performs exceptionally well in a variety of downstream tasks and stands…

  • Hallucination in Large Language Models (LLMs) and Its Causes

    Practical Solutions for Hallucination in Large Language Models (LLMs) Understanding Hallucinations Large language models (LLMs) such as Llama, PaLM, and GPT-4 have revolutionized natural language processing but are prone to producing factually incorrect or inconsistent content. It’s crucial to understand the types and causes of hallucinations to mitigate their impact. Types of Hallucinations Factuality Hallucination:…

  • From Low-Level to High-Level Tasks: Scaling Fine-Tuning with the ANDROIDCONTROL Dataset

    Practical Solutions for AI-driven Automation From Low-Level to High-Level Tasks: Scaling Fine-Tuning with the ANDROIDCONTROL Dataset Discover how AI can redefine your way of work. Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI. Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes. Select an AI Solution: Choose…

  • Top Artificial Intelligence AI Courses from GitLab

    Practical AI Solutions from GitLab Code Suggestions Learn to enhance coding efficiency with GitLab Duo Code Suggestions, leveraging AI for code completion and generation. ML Models to Online Apps Transform ML models into online apps using GitLab DevSecOps Platform and Vertex AI for seamless integration. Train ML Models with GPU-Enabled Runners Accelerate ML model training…

  • Micro Agent: An AI Agent that Writes and Fixes Code for You

    Practical AI Solution: Micro Agent Developers often face challenges with AI-generated code not functioning as expected, leading to time-consuming debugging and refinement. Traditional tools provide some relief but still require significant manual effort to perfect the code. Introducing Micro Agent Micro Agent is a new tool that automates code generation and refinement, eliminating the need…

  • Weekly Artificial Intelligence AI Webinars Alert (June 10-16, 2024): LLMs, RAG, Web Apps, AWS, GPT-4o, and many more…

    Weekly Artificial Intelligence AI Webinars Alert (June 10-16, 2024): LLMs, RAG, Web Apps, AWS, GPT-4o, and many more… Stay ahead in the rapidly evolving world of artificial intelligence with our curated selection of webinars this week. Explore the latest advancements in machine learning and large language models (LLMs), and discover their practical applications across various…

  • Perplexica: The Open-Source Solution Replicating Billion Dollar Perplexity for AI Search Tools

    In today’s information age, finding specific information you need can feel like searching for a needle in a haystack Search engines act as a powerful tool for saving time and effort, but they often fail to provide effective results. The open-source project Perplexica addresses the limitations of traditional search engines by leveraging advanced AI technologies…

  • xECGArch: A Multi-Scale Convolutional Neural Network CNN for Accurate and Interpretable Atrial Fibrillation Detection in ECG Analysis

    Practical AI Solutions for Healthcare Enhancing Cardiovascular Disease Detection with xECGArch Deep learning methods, such as xECGArch, offer practical solutions for accurate and interpretable atrial fibrillation (AF) detection in ECG analysis. These methods excel in matching or surpassing the diagnostic performance of healthcare professionals, providing valuable insights for clinical integration. Key Features of xECGArch xECGArch…

  • From Limited Tasks to General AI: AGENTGYM Evolves Agents with Diverse Environments and Autonomous Learning

    Practical AI Solutions for Evolving Agents Introduction Artificial intelligence (AI) research aims to develop agents capable of performing diverse tasks autonomously. The goal is to create versatile AI systems that can handle real-world challenges. Challenges in AI A significant challenge in AI is creating agents that can learn and adapt independently across different tasks and…

  • A Comprehensive Study by BentoML on Benchmarking LLM Inference Backends: Performance Analysis of vLLM, LMDeploy, MLC-LLM, TensorRT-LLM, and TGI

    Practical AI Solutions for Businesses A Comprehensive Study on Benchmarking LLM Inference Backends Integrating AI solutions like LMDeploy, vLLM, MLC-LLM, TensorRT-LLM, and TGI can significantly enhance business operations. Key Insights from the Study The study highlights the importance of inference backends in large language models, emphasizing their impact on user experience and operational costs. Performance…

  • Decoding Decoder-Only Transformers: Insights from Google DeepMind’s Paper

    The Challenge in Natural Language Processing (NLP) A major challenge in NLP is the limitations of decoder-only Transformers, affecting the performance of large language models (LLMs) in essential tasks like counting or copying sequences accurately. Current Solutions and Practical Value Current methods involve increasing model complexity and enhancing training datasets, but they are computationally expensive.…

  • Buffer of Thoughts (BoT): A Novel Thought-Augmented Reasoning AI Approach for Enhancing Accuracy, Efficiency, and Robustness of LLMs

    Introducing Buffer of Thoughts (BoT) The Buffer of Thoughts (BoT) is a novel thought-augmented reasoning AI approach designed to enhance the accuracy, efficiency, and robustness of Large Language Models (LLMs) such as GPT-4, PaLM, and LLaMA in various reasoning tasks. Practical Solutions and Value BoT addresses the limitations of existing single-query and multi-query reasoning systems…

  • What is Dataset Distillation Learning? A Comprehensive Overview

    Dataset Distillation Learning: A Comprehensive Overview Introduction Dataset distillation is an innovative approach to address the challenges posed by the ever-growing size of datasets in machine learning. It focuses on creating a compact, synthetic dataset that encapsulates the essential information of a larger dataset, enabling efficient and effective model training. Key Findings The study explores…

  • Top Artificial Intelligence AI Courses from Salesforce

    Top Artificial Intelligence AI Courses from Salesforce Practical AI Solutions for Career Advancement In today’s age, learning AI is crucial as companies increasingly rely on it for efficiency, automation, and personalization. Salesforce offers short courses on Trailhead, covering essential AI skills to help you become the AI hero your company needs, positioning you for new…

  • ABodyBuilder3: A Scalable and Precise Model for Antibody Structure Prediction

    Practical AI Solutions for Antibody Structure Prediction ABodyBuilder3: Enhancing Accuracy and Scalability Accurately predicting antibody structures is crucial for therapeutic applications. ABodyBuilder3, developed by researchers from Exscientia and the University of Oxford, offers advanced solutions for predicting antibody structures. Key improvements include integrating language model embeddings for enhanced accuracy in predicting CDR loops, refining relaxation…

  • Google AI Proposes a Machine Learning Framework for Understanding AI Models in Medical Imaging

    Google AI Proposes a Machine Learning Framework for Understanding AI Models in Medical Imaging Recent advancements in machine learning have been actively used to improve the domain of healthcare. Despite performing remarkably well on various tasks, these models are often unable to provide a clear understanding of how specific visual changes affect ML decisions. Google…

  • Deciphering Doubt: Navigating Uncertainty in LLM Responses

    Quantifying Uncertainty in Large Language Models (LLMs) This paper explores the domain of uncertainty quantification within large language models (LLMs) to identify scenarios where uncertainty in response to queries is significant. Properly identifying uncertainties is crucial for enhancing the reliability and truthfulness of LLM responses, especially to detect and mitigate inaccurate responses generated by these…

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.