Category Archives: Uncategorized

Ray Summit is an indispensable event for anyone keen on delving into Ray’s significant role in many AI and machine learning platforms. Next week’s summit will showcase talks from leading experts, hands-on workshops, and opportunities for networking. For those eager to be at the cutting edge of AI innovations and applications, missing this summit isn’tContinue reading “2023 Ray Summit Preview”

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 AI and Large LanguageContinue reading “Ivy: Streamlining AI Model Deployment and Development”

MLOps, or Machine Learning Operations, brings together Machine Learning, DevOps, and Data Engineering, facilitating automation across the entire ML lifecycle—from data acquisition to model deployment and oversight. It streamlines the deployment, management, and scaling of machine learning models in practical applications. By integrating tools like cloud computing and containerization, MLOps aims to accelerate deployment, enhanceContinue reading “MLOps in Action: Exploring Industry-Specific Requirements”

As technology advances, it is increasingly intertwined with every aspect of our society, including copyright law. The rise of artificial intelligence (AI) has raised a number of fundamental questions and challenges for copyright law, as Generative AI systems are now capable of producing text, images, video, and audio that would traditionally be protected by copyrightContinue reading “The Future of Creativity: The Intersection of AI and Copyright”

New Models, Tools, and Infrastructures for an AI-Driven Future. The tech community converges on San Francisco this week as Google Cloud hosts its first in-person “Next” event since 2019. More than just a tech showcase, this event puts on display advancements in Infrastructure, Data and AI, Workspace Collaboration, and Cybersecurity. A notable focus is theContinue reading “AI and Machine Learning at Google Cloud Next ’23”

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 novel technologies and data streamsContinue reading “The Financial Services Sector’s March into Generative AI”

Llama was Meta AI’s most performant LLM for researchers and non-commercial use cases. It was more parameter-efficient than other large commercial LLMs, meaning that it could achieve comparable performance to larger models with fewer parameters. In fact, Llama outperformed GPT-3 on many benchmarks, despite being smaller. Llama 2 is the successor to Llama and hasContinue reading “Llama’s Emerging Ecosystem”

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 questions address the risks of AIContinue reading “What We Can Learn from the FTC’s OpenAI Probe”