“Lawyers who use AI will replace lawyers who don’t.” That was the coda of a presentation given at the recent HPC User Forum in Tucson by Arizona State University law professor Gary Marchant, a graduate of Harvard Law School and a professor at ASU since 1999. Marchant’s presentation at the Forum, hosted by Hyperion Research, was one of the conference’s most talked-about sessions. In this interview, Marchant shares his observations on how generative AI and large language models….
Large Language Models: The Largeness, the Power and the ‘Emergent’ Mystery
September 22, 2023 by Leave a Comment
Large language models fit the classic model of a red-hot technology in an early stage of commercial viability: there’s more talk about it than knowledge, and FOMO – the fear that your competitors are implementing it at your peril – is helping to drive explosive demand. There’s also an allure and mystery around LLMs: some of the awe-inspiring “zero shot” things they do surprise even the data scientists who trained the models (more on this below). Against this backdrop….
Code Intelligence Launches LLM-Powered AI-Assistant for Software Security
September 13, 2023 by Leave a Comment
Bonn, Germany, September 13th, 2023 – Code Intelligence today announced CI Spark, an LLM-powered AI-assistant for software security testing. CI Spark automatically identifies attack surfaces and suggests test code for them, enabling developers to reduce the manual effort needed to generate powerful white-box tests from multiple hours down to a few minutes, the company said, adding […]
MLCommons: MLPerf Results Show AI Performance Gains
June 27, 2023 by
Today ML Commons announced new results from two industry-standard MLPerf benchmark suites: Training v3.0, which measures the performance of training machine learning models, and Tiny v1.1, which measures how quickly a trained neural network can process new data for extremely low-power devices in the smallest form factors. To view the results and to find additional […]
Generative AI: Databricks to Acquire MosaicML for $1.3B
June 26, 2023 by
San Francisco-based data and AI startup Databricks today announced a $1.3 billion deal to acquire generative AI platform MosaicML, whose large language models (MPT-7B and MPT-30B) have more than 3.3 million downloads. The goal of the acquisition: reduce the time and cost of large language model training for generative AI, the companies said. Databricks, which […]
Galileo Launches LLM Diagnostics and Explainability Platform
June 20, 2023 by
San Francisco — June 20, 2023 — Today, Galileo, a machine-learning (ML) data intelligence company for LLMs and computer vision, announced a suite of tools called Galileo LLM Studio — now available for waitlist signups here. As organizations of all sizes and across industries begin to consider the potential applications of generative AI, it is more important than ever […]
Comet Unveils ‘LLMOps’ Tools and Integrations for Large Language Model Workflow
April 19, 2023 by
New York – April 19, 2023 – Comet, maker of a platform for managing models ranging from training runs to production monitoring, today announced a new suite of tools designed to revolutionize the workflow surrounding large language models (LLMs). Comet said the tools “mark the beginning of a new market category, known as LLMOps.” With […]
Cerebras Announces 2 AI Partnerships – for Large Language Model Training and ‘Generative AI’ Content Creation
November 29, 2022 by
Cerebras Systems, maker of the “dinner plate sized” AI processor, announced two alliances today, one with Cirrascale Cloud Services, provider of deep learning solutions for AVs, NLP and computer vision, and with Jasper, maker of an AI content platform for AI-based copywriting and content creation. Under the Cirrascale-Cerebras partnership, the two companies announced the availability […]
