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 specializedContinue reading “Unleashing LLMs in Cybersecurity: A Playbook for All Industries”
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Building LLM-powered Apps: What You Need to Know
Subscribe • Previous Issues Building LLM-powered Applications The past few weeks have been exciting for developers interested in deploying AI-powered applications. The field is evolving quickly, and it is now possible to build AI-powered applications without having to spend months or years learning the ins and outs of machine learning. This opens up a whole new worldContinue reading “Building LLM-powered Apps: What You Need to Know”
Alignment in AI: Key to Safe and Beneficial Systems
Subscribe • Previous Issues Get Started on Aligning AI Alignment is a topic that has garnered significant attention and research in the field of AI. It is a critical challenge in AI and machine learning that seeks to ensure that machines behave in ways that are beneficial. More precisely, alignment refers to the idea that an AIContinue reading “Alignment in AI: Key to Safe and Beneficial Systems”
Maximizing the Potential of Large Language Models
Subscribe • Previous Issues The LLM Three-Pronged Strategy: Tune, Prompt, Reward As language models become increasingly common, it becomes crucial to employ a broad set of strategies and tools in order to fully unlock their potential. Foremost among these strategies is prompt engineering, which involves the careful selection and arrangement of words within a prompt or queryContinue reading “Maximizing the Potential of Large Language Models”
The Future of Search and How You Can Shape It
Subscribe • Previous Issues Navigating the Future of Search ChatGPT has revived interest in search. It revealed that a blend of artificial intelligence and a prompt-driven interface is exceptionally well-matched for search applications. As a result of ChatGPT, some well-funded search startups are emphasizing their use of large language models (LLM) and launching chatbot-like interfaces. ChatGPT hasContinue reading “The Future of Search and How You Can Shape It”
Unveiling the Future of AI: Insights on AI Chips, Knowledge Graphs, and AI Regulations
Subscribe • Previous Issues AI Chips: Past, Present, Future In a recent collaboration with Assaf Araki of Intel Capital, we delve into specialized hardware for Artificial Intelligence. The training of massive AI models has historically been dominated by Nvidia GPUs and Google TPUs. There is a significant challenge facing new entrants to the market: the lack ofContinue reading “Unveiling the Future of AI: Insights on AI Chips, Knowledge Graphs, and AI Regulations”
Revolutionizing Data Science: The Latest Trends in Automation, Experimentation, and Language Model Evaluation
Subscribe • Previous Issues Data Exchange Podcast 1. Evaluating Language Models. As more general-purpose models are widely used, the need for tools to help developers pick models that fit their needs and understand the models’ limitations increases. Percy Liang is Associate Professor of Computer Science and Statistics, and Director of the new Center for Research on FoundationContinue reading “Revolutionizing Data Science: The Latest Trends in Automation, Experimentation, and Language Model Evaluation”
2023 Trends And Themes: Data, Machine Learning, AI
Subscribe • Previous Issues FREE Report: 2023 Opportunities and Trends In our annual report, we’ve compiled the most important information on the cutting-edge trends in data infrastructure, machine learning, and artificial intelligence. It’s a must-read for anyone who wants to stay informed on the key issues shaping these fields. With 13 sections covering everything from the latestContinue reading “2023 Trends And Themes: Data, Machine Learning, AI”
Our Top Book Pick for 2022
Subscribe • Previous Issues Data Science in Context Our book of the year is a collaboration between a team of highly regarded experts in the fields of AI and data science. This book provides a comprehensive overview of what students and practitioners need to know to use data science more effectively and ethically. Filled with practical, real-worldContinue reading “Our Top Book Pick for 2022”
We Need Efficient and Transparent Language Models
Subscribe • Previous Issues Data Exchange podcast Efficient Methods for Natural Language Processing: Roy Schwartz is Professor of NLP at The Hebrew University of Jerusalem. We discuss an important survey paper that Roy co-wrote that presented a broad overview of existing methods to improve NLP efficiency through the lens of NLP pipelines. Building a premier industrial AIContinue reading “We Need Efficient and Transparent Language Models”