In this contributed article, Varun Singh, President and co-founder of Moveworks, sees rockets as a fitting analogy for AI language models. While the core engines impress, he explains the critical role of Vernier Thrusters in providing stability for the larger engine. Likewise, large language models need the addition of smaller, specialized models to enable oversight and real-world grounding. With the right thrusters in place, enterprises can steer high-powered language models in the right direction.
Unveiling Jamba: AI21’s Groundbreaking Hybrid SSM-Transformer Open-Source Model
April 26, 2024 by Leave a Comment
AI21, a leader in AI systems for the enterprise, unveiled Jamba, the production-grade Mamba-style model – integrating Mamba Structured State Space model (SSM) technology with elements of traditional Transformer architecture. Jamba marks a significant advancement in large language model (LLM) development, offering unparalleled efficiency, throughput, and performance.
Nature Communications Publishes Zapata AI Research on Generative AI for Optimization
April 23, 2024 by Leave a Comment
Zapata Computing Holdings Inc. (Nasdaq: ZPTA), the Industrial Generative AI company, announced that its foundational research on generator-enhanced optimization (GEO) has been published in the esteemed Nature Communications journal. The research, titled “Enhancing Combinatorial Optimization with Classical and Quantum Generative Models,” introduces Generator-Enhanced Optimization (GEO), a novel optimization method that leverages the power of generative modeling to suggest high-quality candidate solutions to complex optimization problems.
Vero AI Evaluates 10 Leading Generative AI Models Using Its Comprehensive VIOLET Framework to Gauge Responsible AI
April 17, 2024 by Leave a Comment
Vero AI, an analytical engine and scoreboard that helps enterprises fully harness the potential of advanced technology including artificial intelligence while minimizing risk, announced the findings of its inaugural “Generating Responsibility: Assessing AI Using AI” report.
How Can Companies Protect their Data from Misuse by LLMs?
April 10, 2024 by Leave a Comment
In this contributed article, Jan Chorowski, CTO at AI-firm Pathway, highlights why LLM safety begins at the model build and input stage, rather than the output stage – and what this means in practice; how LLM models can be engineered with safety at the forefront, and the role that a structured LLM Ops model plays; and the role of data chosen to train models, and how businesses can appropriately select the right data to feed into LLMs
Opaque Systems Extends Confidential Computing to Augmented Language Model Implementations
April 8, 2024 by 1 Comment
In this contributed article, editorial consultant Jelani Harper discusses how Opaque Systems recently unveiled Opaque Gateway, a software offering that broadens the utility of confidential computing to include augmented prompt applications of language models. One of the chief use cases of the gateway technology is to protect the data privacy, data sovereignty, and data security of organizations’ data that frequently augments language model prompts with enterprise data sources.
Counteracting Financial Crimes with Generative Models
April 2, 2024 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper discusses generative models, synthetic data, and combating financial crimes. Generative models are gradually reshaping the nature of financial crimes. They can help and hinder both investigators and the fraudsters perpetuating criminal activity.
Intel Gaudi 2 Remains Only Benchmarked Alternative to NV H100 for GenAI Performance
March 27, 2024 by Leave a Comment
Newest MLPerf results for Intel Gaudi 2 accelerator and 5th Gen Intel Xeon demonstrate how Intel is raising the bar for generative AI performance across its portfolio and with its ecosystem partners.
NEC Develops Marketing Strategy Planning & Effectiveness Simulation Technology Using Generative AI
March 26, 2024 by Leave a Comment
NEC Corporation (NEC; TSE: 6701) has developed a marketing strategy planning & effectiveness simulation technology that utilizes generative AI to identify latent needs of customers and generate optimal measures. According to an NEC survey, this is the world’s first technology that can automatically visualize customer interests and preferences (i.e. psychograhic attributes), generate measures, and predict customer responses to those measures. NEC aims to launch services with this technology in 2024
The Essential Role of Clean Data in Unleashing the Power of AI
March 22, 2024 by Leave a Comment
In this contributed article, Stephanie Wong, Director of Data and Technology Consulting at DataGPT, highlights how in the fast-paced world of business, the pursuit of immediate growth can often overshadow the essential task of maintaining clean, consolidated data sets. With AI technology, the importance of data hygiene becomes even more apparent, as language models heavily rely on it.
