Discover Simplicity with AI

At AI Lab, we create smart AI tools that help you streamline your business and improve customer interactions. Our tailor-made solutions free up your time, letting you focus on what you do best – growing your business.

Unleash Your Creative Potential with AI Products for Business

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

  • This AI Paper Dives into Embodied Evaluations: Unveiling the Tong Test as a Novel Benchmark for Progress Toward Artificial General Intelligence

    Researchers at the National Key Laboratory of General Artificial Intelligence have proposed a new benchmark for evaluating Artificial General Intelligence (AGI) called the Tong Test. This test focuses on complex environments and emphasizes the importance of ability and value-oriented evaluation rather than task-oriented evaluation. The Tong Test includes features such as infinite tasks, self-driven task…

  • Accenture creates a Knowledge Assist solution using generative AI services on AWS

    Accenture has collaborated with AWS to create Knowledge Assist, a generative AI solution that helps enterprises connect people to information efficiently. Using AWS generative AI services, Knowledge Assist can comprehend vast amounts of unstructured content and provide precise answers to user questions. By improving knowledge retention and reducing training time, this solution has proven to…

  • CMU Researchers Introduce AdaTest++: Enhancing the Auditing of Large Language Models through Advanced Human-AI Collaboration Techniques

    CMU researchers have introduced AdaTest++, an advanced auditing tool for Large Language Models (LLMs). The tool streamlines the auditing process, enhances sensemaking, and facilitates communication between auditors and LLMs. AdaTest++ includes features such as prompt templates, organizing tests into schemas, top-down and bottom-up exploration, and validation and refinement. It has demonstrated remarkable effectiveness in uncovering…

  • Robust time series forecasting with MLOps on Amazon SageMaker

    This blog post discusses the importance of time series forecasting in data-driven decision-making and explores a robust time series forecasting model using Amazon SageMaker. It highlights the use of MLOps infrastructure for automating the model development process and explains the steps involved in training and deploying the model. The post also provides an overview of…

  • This AI Paper Introduces Quilt-1M: Harnessing YouTube to Create the Largest Vision-Language Histopathology Dataset

    The research team behind QUILT-1M has introduced a groundbreaking solution to the scarcity of comprehensive datasets in histopathology. By leveraging educational histopathology videos on YouTube, they have curated a dataset of 1 million paired image-text samples. The dataset outperforms existing models and has the potential to benefit computer scientists and histopathologists in their research and…

  • Meta Teams Up with Microsoft Bing to Introduce AI Chatbot Across Its Platforms

    Meta has partnered with Microsoft Bing to launch an AI chatbot across its platforms, including WhatsApp, Messenger, and Instagram. The chatbot, powered by Meta AI, offers features such as answering queries, text generation, and language translation. Additionally, Meta is introducing 28 AI characters for messaging and personalized AI stickers. The company also plans to enhance…

  • Top 5 AI Tools Every Scrum Master and Team Should Consider

    In today’s tech-savvy environment, AI tools are revolutionizing how we approach work, and Scrum is no exception. Integrating AI can streamline tasks, optimize processes, and offer valuable insights. Here are the top five AI tools that every Scrum Master and Agile team should have on their radar: Incorporating these AI tools into your Scrum and…

  • Can Scrum Masters Use Provocative Tones to Manage Team Conflicts?

    In the dynamic world of Agile and Scrum, communication is key. But what happens when that communication takes on a provocative tone? The question arises: Can Scrum Masters effectively use what’s often termed “ragebait” or “clickbait” techniques within their teams? “Ragebait” or “clickbait” is a strategy primarily seen in digital media, designed to elicit strong…

  • Prompt Engineering Tips, a Neural Network How-To, and Other Recent Must-Reads

    Here are ten recent standout articles from Towards Data Science – Medium: 1. “New ChatGPT Prompt Engineering Technique: Program Simulation” by Giuseppe Scalamogna explains a prompt-engineering technique that simulates a program to improve the performance of ChatGPT. 2. “How to Program a Neural Network” by Callum Bruce provides a step-by-step guide for coding neural networks…

  • An Introduction to Sprint Goals

    This blog post from LeadingAgile discusses the importance of sprint goals in agile transformation. The post explores what sprint goals are, why they are important, and how to create them. The post also provides contact information for Vic Bonacci and Dave Prior, and offers information on CSM and CSPO training.

  • Meet ReVersion: A Novel AI Diffusion-Based Framework to Address the Relation Inversion Task from Images

    ReVersion is an AI diffusion-based framework that aims to address the Relation Inversion task from images. It focuses on capturing object relations and allows users to generate images that correspond to specific relationships. The framework incorporates a preposition prior and a relation-steering contrastive learning scheme to improve relation inversion results. The ReVersion Benchmark is also…

  • Meta announces new generative interactive AI experiences

    Meta announced a range of new generative and interactive AI experiences at its Connect conference. The new AI features focus on driving engagement on Meta’s WhatsApp, Messenger, and Instagram platforms. Highlights include the Meta AI assistant, AI characters based on influencers, stickers and image editing features, and the AI Studio platform for building third-party AIs.…

  • Incredible Ways to Use ChatGPT Vision

    ChatGPT Vision, with its new voice and image capabilities, offers numerous incredible ways for users to enhance their lives and businesses. Examples include building software by drawing a picture, recreating websites from screenshots, logic reasoning based on image inputs, converting Figma designs into React components, describing images, assisting with homework, and turning whiteboard notes into…

  • Edge 330: Inside DSPy: Stanford University’s LangChain Alternative

    DSPy is a new alternative to language model programming frameworks like LangChain and LlamaIndex. It offers a unique approach to the field and is gaining attention in the LLM community, along with Microsoft’s Semantic Kernel.

  • Unlocking Multimodal AI with Open AI: GPT-4V’s Vision Integration and Its Impact

    GPT-4V, known as GPT-4 with vision, integrates image analysis into large language models (LLMs), expanding their capabilities. GPT-4V completed training in 2022 and is now available for early access. The model combines text and vision capabilities, presenting new opportunities and challenges. OpenAI has evaluated and addressed risks, particularly regarding images of individuals. They continue to…

  • Companies are hiring creative writers to train AI models

    Companies are hiring creative writers to improve the writing abilities of AI models. AI-authored books lack quality, so companies like Appen and Scale AI are seeking writers to create datasets for training. The need for specific creative writing data arises as AI models struggle with creativity and underserved languages. These jobs offer up to $50…

  • This AI Paper Introduces the COVE Method: A Novel AI Approach to Tackling Hallucination in Language Models Through Self-Verification

    Researchers from Meta AI and ETH Zurich have introduced a new method called COVE (Chain-of-Verification) to tackle hallucinations in language models. By using verification questions to assess and improve initial responses, they achieved greater accuracy in generating responses. The study shows that this approach offers significant improvements in performance. For more details, refer to the…

  • User-centric design in AI products ensures usability and satisfaction.

    User-centric design is essential in AI products to create experiences that feel human. While AI can process data quickly, it cannot understand user frustration nor provide intuitive solutions without user-centric design. Speaking in a language users understand and cultivating trust are crucial. Customization is necessary to cater to individual needs. Overall, the focus should always…

  • Can’t wait for our robot overlords to take over the world!

    AI in modern product development is more about enhancing user experiences and driving innovation rather than taking over the world. It involves making machines think and learn like humans through mathematics, algorithms, and data. AI enables personalized user experiences, data-driven decision making, continuous improvement, scalability, enhanced security, and collaboration between humans and machines. It holds…

  • Fundamentals of AI in Modern Product Development

    Ah, the enchanting realm of Artificial Intelligence! Remember the days when the term “AI” evoked images of robots taking over the world? Well, let’s debunk that myth right off the bat. Today, AI is less about world domination and more about elevating our daily experiences, especially in the world of product development. So, buckle up…

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.