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”

Taking time series modeling and stream processing mainstream

Subscribe • Previous Issues Trends and Opportunities in Time Series Time series is an area that has given rise to publicly traded companies, a variety of open source tools, and startups that have collectively raised over a billion dollars. The global market for time series analysis software is expected to grow at a compound annual rate ofContinue reading “Taking time series modeling and stream processing mainstream”

Data and AI job markets are slowing down

Subscribe • Previous Issues Hot technology job market is losing its sizzle If you have the right skills you’re probably still getting inundated with messages from recruiters. But beware that the overall job market is softening. We’re seeing large percentage declines (year-over-year) across a variety of data and AI keyword searches. Exceptions include “data governance” (essentially flat),Continue reading “Data and AI job markets are slowing down”

Embed Retrieve Win

Subscribe • Previous Issues The Vector Database Index If you work with text or images, chances are embeddings are already a key part of your machine learning and analytic pipelines. Embeddings are low-dimensional spaces into which higher-dimensional vectors can be mapped into. They can represent many kinds of data, whether a piece of text, an image orContinue reading “Embed Retrieve Win”