Unlocking Data and AI
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Subscribe • Previous Issues Keys to a Robust Fleet of Custom LLMs The rising popularity of Generative AI is driving companies to adopt custom large language models (LLMs) to address concerns about intellectual property, and data security and privacy. Custom LLMs can safeguard proprietary data while also meeting specific needs, delivering enhanced performance and accuracy for improved user experiences and operations. Tailoring…
Subscribe • Previous Issues Ivy: Streamlining AI Model Deployment & Development In an age where data drives decision-making and automation, deep learning (DL) has become a cornerstone of many industries, influencing everything from healthcare to finance. DL has become pervasive with applications in a wide range of fields, including computer vision, natural language processing, voice applications, and robotics. The rise of Generative…
Subscribe • Previous Issues The Financial Services Sector’s March into Generative AI During my time as a quant at a hedge fund, I was struck by the asset management industry’s willingness to adopt cutting-edge technologies. Hedge funds are constantly looking for new ways to gain an edge in the increasingly competitive financial markets. They are quick to invest in and experiment with…
Subscribe • Previous Issues What We Can Learn from the FTC’s OpenAI Probe The recent investigation launched by the U.S. Federal Trade Commission (FTC) into OpenAI is a sign of the growing regulatory scrutiny of AI technology and the potential risks it poses. As we build AI models and applications, we must proactively consider the questions listed in the FTC letter. These…
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