• Gemini: Google Stirs Controversy Again with Generative AI Product Announcement

    Google announced its new AI model, Gemini, on December 6, 2023. In this blog, we will delve into the controversy surrounding this announcement and outline the steps the company should take to avoid similar setbacks in future product launches.

    Read more

  • Unlocking the Potential of SLMs: A Look at Microsoft’s Orca 2

    Microsoft researchers are tackling the challenge of enhancing the reasoning abilities of small language models (SLMs). They demonstrate through Orca 2 that, despite operating with significantly fewer parameters than their large language model (LLM) counterparts, SLMs can offer a more accessible, efficient, and versatile AI solution when coupled with suitable training methods and optimized, synthetic…

    Read more

  • Five Trends That Defined AI in 2023

    Artificial Intelligence (AI) has taken incredible strides in 2023, shaping a future where innovation meets responsibility. In this post, we will dive into the key highlights that defined this transformative year in the AI landscape.

    Read more

  • Reinventing Government in the Age of AI

    “Reinventing Government”, a book penned in the early ’90s, set forth principles for transforming bureaucratic governments into entrepreneurial entities. This post explores the potential of applying these principles today using artificial intelligence (AI) technology to enhance efficiency and cost-effectiveness. However, it also acknowledges the key challenges that come with integrating AI into public sector operations…

    Read more

  • Navigating The US-China AI Cold War

    Artificial intelligence (AI) is reshaping the world, with the United States (US)  and China at the forefront of this technological revolution. While both nations have distinct motivations and objectives for seeking AI leadership, the outcome of their competition will have profound economic, military, and political ramifications. This competition is not just about technological advancement; it’s…

    Read more

  • Machine Learning in Finance: Opportunities and Challenges

    This post explores current applications of ML in finance and the associated challenges.

    Read more

  • Principles-Guided AI: Exploring the Potential of Constitutional AI

    In this post, we’ll delve into Constitutional AI (CAI), a novel approach proposed by Anthropic for AI system development. We will explain what CAI is, how it differs from conventional AI methods, and how it can help create AI systems that are more aligned with human values and less likely to cause harm.

    Read more

  • BloombergGPT: An Overview of a Language Model Tailored for Finance

    While general purpose large language models (LLMs)  like GPT-3 are incredibly versatile, their performance on domain-specific tasks is often less impressive. This blog post will delve into the development and performance of BloombergGPT and its significance for the finance industry.

    Read more

  • Ethical AI: The Foundation for a Brighter Digital Future

    This blog post examines the concept of ethical AI, synthesizing crucial insights from recent research and guidelines. By embracing an ethical framework that takes these guidelines into account, AI stakeholders can ensure that AI is developed, implemented, and used in a way that benefits all.

    Read more

  • Demystifying AI: A Guide to the Key Concepts

    You may have come across terms like machine learning, neural networks, and generative AI, but what exactly do they mean? In this blog post, we’ll delve into these AI concepts. We’ll explain these concepts clearly and simply, giving you the core knowledge you need to navigate the ever-changing world of AI.

    Read more