Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines. The combination of a LLM, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.
SambaNova Unveils New AI Chip, the SN40L, Powering its Full Stack AI Platform
September 19, 2023 by Leave a Comment
SambaNova Systems, makers of the purpose-built, full stack AI platform, announced a revolutionary new chip, the SN40L. The SN40L will power SambaNova’s full stack large language model (LLM) platform, the SambaNova Suite, with its revolutionary new design: on the inside it offers both dense and sparse compute, and includes both large and fast memory, making it a truly “intelligent chip.”
Kinetica Launches Native Large Language Model for Language-to-SQL on Enterprise Data
September 18, 2023 by Leave a Comment
Kinetica, the speed layer for generative AI and real-time analytics, announced a native Large Language Model (LLM) combined with Kinetica’s innovative architecture that allows users to perform ad-hoc data analysis on real-time, structured data at speed using natural language. Unlike with public LLMs, no external API call is required and data never leaves the customer’s environment.
Anyscale Teams With NVIDIA to Supercharge LLM Performance and Efficiency
September 18, 2023 by Leave a Comment
Anyscale, the AI infrastructure company built by the creators of Ray, the world’s fastest-growing open-source unified framework for scalable computing, today announced a collaboration with NVIDIA to further boost the performance and efficiency of large language model (LLM) development on Ray and the Anyscale Platform for production AI.
Generative AI Report: Nutanix Simplifies Adoption of Generative AI with New Nutanix GPT-in-a-Box Solution
August 28, 2023 by Leave a Comment
Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced the Nutanix GPT-in-a-Box™ solution for customers looking to jump-start their artificial intelligence (AI) and machine learning (ML) innovation, while maintaining control over their data. The new offering is a full-stack software-defined AI-ready platform, along with services to help organizations size and configure hardware and software infrastructure suitable to deploy a curated set of large language models (LLMs) using the leading open source AI and MLOps frameworks on the Nutanix Cloud Platform™. It allows customers to easily procure AI-ready infrastructure to fine-tune and run generative pre-trained transformers (GPT), including LLMs at the edge or in their datacenter.
Introducing Kyligence Copilot: The AI Copilot for Data to Excel Your KPIs
August 23, 2023 by Leave a Comment
Kyligence Copilot is an AI Copilot for data that is built on the foundation of the Kyligence Zen metrics platform. It leverages the power of a large language model powered by Azure OpenAI, offering users the ability to search for metrics, conduct in-depth analysis, gain valuable insights, and enable the automatic creation of dashboards using intuitive, natural language conversations centered around business metrics. This seamless integration significantly reduces business users’ barriers to leveraging data, boosting their overall work efficiency.
Survey: More than 75% of Enterprises Don’t Plan to Use Commercial LLMs in Production Citing Data Privacy as Primary Concern
August 23, 2023 by Leave a Comment
Predibase, the commercially available low-code declarative ML platform for developers, today released a new report, “Beyond the Buzz: A Look at Large Language Models in Production.” Based on survey data from organizations experimenting with LLMs, the report offers insight into real-world concerns, opportunities, and priorities for organizations as they embrace AI and LLMs.
How Can You Effectively Select the Correct Language Model to Align with Your Business Needs and Goals?
August 18, 2023 by 1 Comment
In this contribute article, Garry M. Paxinos, CTO of netTALK CONNECT, believes that not all language models are the same: How can you effectively select the right language model that aligns with your business needs and goals? What capabilities cannot go unnoticed when analyzing language models?
Generative AI Report: Deci Releases Powerful Open-Source Generative AI Model, DeciCoder, to Redefine Code Generation for Developers
August 17, 2023 by Leave a Comment
Deci, the deep learning company harnessing AI to build AI, released DeciCoder, its inaugural foundation model in generative AI helping users generate programming language code. This groundbreaking Large Language Model (LLM), dedicated to code generation with 1 billion parameters and an expansive 2048-context window, surpasses results released in equivalent models and effectively redefines the standards of efficient code generation.
Empowering Agents, Delighting Customers: The Role of Smart Bots in Elevating Customer Support
August 15, 2023 by Leave a Comment
In this contributed article, Nate MacLeitch, Founder and CEO of QuickBlox, discusses how businesses can use generative AI to enhance their customer service capabilities while working in tandem with human agents, rather than replacing them.
