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What You Need to Know About GPT-4 and PaLM 2

Subscribe • Previous Issues Behind the Curtain: Unpacking GPT-4 and PaLM 2 As AI technology continues to evolve, we are witnessing a shift in the openness of systems. Leading-edge AI models, such as GPT-4 (OpenAI) and PaLM 2 (Google), are trending towards being less open than their predecessors. This shift is being driven by a number of factors, including the mounting costs…

The AI Conference in SF: The Future of AI is Now!

Subscribe • Previous Issues The AI Conference: Bridge the gap between research and practice I am elated to announce my role as Program Chair for The AI Conference, a unique event designed to bridge the gap between research and practical applications. While I have continued to serve as co-chair and program committee member for numerous AI and Data conferences since taking a…

The Future of Prompt Engineering: Getting The Most Out of LLMs

Subscribe • Previous Issues What I Talk About When I Talk About Prompting In recent months, my approach to constructing NLP pipelines and applications has shifted from integrating various libraries to using large language models (LLMs) via their APIs. This transition has resulted in a slight increase in latency and cost (due to the replacement of free libraries), but it has also…

Unleashing LLMs in Cybersecurity: A Playbook for All Industries

Subscribe • Previous Issues Large Language Models in Cybersecurity Despite the fact that large language models (LLMs) are still in their infancy, organizations across all industries and domains are already showing considerable interest in them. I thought that it would be useful to describe how LLMs will be implemented within companies by focusing on cybersecurity, a specialized area of activity within IT…


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