It’s clear that 2023 is the year of generative AI, with the explosion of interest in new large language models (LLMs) such as ChatGPT. Numerous companies are integrating AI into their services (e.g., Microsoft Bing, Google Bard, Adobe Creative Cloud, …
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. We’ve heard from many of our followers that this feature will enable them to catch up …
Please find the results for your assignment on this page. The details you gave were as follows…Request Source:automatedAIRequest Process:documentGenerator Execution organization Key Value Description Contract ID 563 OPS1 Task ID 2177 Auto-created tasks that will be used to create underlying …
In the wake of the chaos at OpenAI, a resolution was swiftly reached, although it was not a foregone conclusion. The situation required decisive intervention from Microsoft CEO Satya Nadella to steer things back to stability. This scenario has highlighted …
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 capabilities of the cutting-edge Gemini Ultra LLM and …
Video Highlights: The 3 Steps of LLM Training with Lisa Cohen Read more »
In today’s fast-paced digital landscape, businesses constantly seek ways to enhance the efficiency, scalability, and reliability of their operations. A pivotal aspect of these endeavors is the migration of critical systems to a cloud, where the choice of database architecture …
Navigating Cloud Migration: Choosing right Database for Cloud Migration of Your Data Read more »
Coming to Z by HP AI Studio, NVIDIA CUDA-X Data Processing Libraries Boost Python Pandas Software for Millions of Data Scientists HP Amplify — NVIDIA and HP Inc. today announced that NVIDIA CUDA-X™ data processing libraries will be integrated with HP …
NVIDIA and HP Supercharge Data Science and Generative AI on Workstations Read more »
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights …
In the sprawling desert of technological advancement, “AI washing” emerges as a mirage, luring businesses and consumers with the allure of artificial intelligence (AI). This term refers to the practice of companies overstating their AI capabilities, creating a deceptive facade …
With the Right Productization, Stream-Trigger Augmented Generation (STAG) Architectures Will Expand The Business Applications for AI In my recent work, I’ve explored how AI can evolve from reactive bots, like ChatGPT, which answers user queries, to proactive systems that monitor …
Overcoming the Technical and Design Hurdles for Proactive AI Systems Read more »