Unveiling Jamba: AI21’s Groundbreaking Hybrid SSM-Transformer Open-Source Model

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

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.

Video Highlights: Gemini Ultra — How to Release an AI Product for Billions of Users — with Google’s Lisa Cohen

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Lisa Cohen, Google’s Director of Data Science and Engineering, to discuss the launch of Gemini Ultra. Discover the capabilities of this cutting-edge large language model and how it stands toe-to-toe with GPT-4.

Vero AI Evaluates 10 Leading Generative AI Models Using Its Comprehensive VIOLET Framework to Gauge Responsible AI 

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.

Avoid these 7 Common Business-related Mistakes On Data Projects

This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 7 common business-related mistakes on data projects that all stem from failures in planning, preparation and communication.

Video Highlights: Deep Reinforcement Learning for Maximizing Profits — with Prof. Barrett Thomas

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Dr. Barrett Thomas, an esteemed Research Professor in at the University of Iowa’s College of Business, to delve deep into Markov decision processes and how they relate to Deep Reinforcement Learning.

Video Highlights: Gradient Boosting: XGBoost, LightGBM and CatBoost — with Kirill Eremenko

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Kirill Eremenko to walk listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost.

Cloud Migration Alone Won’t Solve Data Quality. Here’s Why CDOs Need a More Holistic Approach

In this contributed article, Emmet Townsend, VP of Engineering at Inrupt, discusses how cloud migration is just one step to achieving comprehensive data quality programs, not the entire strategy.

Video Highlights: The Best AI Startup Opportunities — with Venture Capitalist Rudina Seseri

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, sits down with Rudina Seseri from Glasswing Ventures to answer the question: “What has Glasswing Ventures done for the company beyond capital investment?” Rudina describes how her company uses data to assess venture capital investments, the secret sauce of successful AI startups, and why she feels generative AI is only the start of a much broader impact that AI will make in communities and businesses.

Intel Gaudi 2 Remains Only Benchmarked Alternative to NV H100 for GenAI Performance

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.