In this contributed article, George Davis, founder and CEO of Frame AI, howlights how we find ourselves at an early, crucial stage in the AI R&D lifecycle. Excitement over AI’s potential is dragging it into commercial development well before reliable engineering practices have been established. Architectural patterns like RAG are essential in moving from theoretical models to deployable solutions.
Overcoming the Technical and Design Hurdles for Proactive AI Systems
March 6, 2024 by Leave a Comment
Video Highlights: A Code-Specialized LLM Will Realize AGI — with Jason Warner
March 2, 2024 by Leave a Comment
In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by poolside co-founder and CEO Jason Warner who sheds light on how code-specialized LLMs could vastly outperform generalized counterparts like GPT-4.
Securing GenAI in the Enterprise
February 28, 2024 by Leave a Comment
Opaque Systems released a new whitepaper titled “Securing GenAI in the Enterprise.” Enterprises are chomping at the bit to use GenAI to their benefit but they are stuck. Data privacy is the number one factor that stalls GenAI initiatives. Concerns about data leaks, malicious use, and ever-changing regulations loom over the exciting world of Generative AI (GenAI), specifically large language models (LLMs).
Microsoft Expands AI Reach with Partnership with French Start-up Mistral
February 28, 2024 by Leave a Comment
Microsoft has taken another notable step forward in the realm of artificial intelligence by announcing a strategic partnership with Mistral, a French AI start-up based in Paris. This move further exemplifies Microsoft’s commitment to broaden its presence in the rapidly evolving AI industry beyond its existing alliance with OpenAI and at a global scale.
A Brief Overview of the Strengths and Weaknesses Artificial Intelligence
February 26, 2024 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper suggests that since there are strengths and challenges for each form of AI, prudent organizations will combine these approaches for the most effective results. Certain solutions in this space combine vector databases and applications of LLMs alongside knowledge graph environs, which are ideal for employing Graph Neural Networks and other forms of advanced machine learning.
DataStax and LlamaIndex Partner to Make Building RAG Applications Easier than Ever for GenAI Developers
February 20, 2024 by Leave a Comment
DataStax, the Gen AI data company, today announced its out-of-the-box retrieval augmented generation (RAG) solution, RAGStack, is now generally available powered by LlamaIndex as an open source framework, in addition to LangChain. DataStax RAGStack for LlamaIndex is also the first partner to support an integration (currently in public preview) with LlamaIndex’s LlamaParse, which gives developers using Astra DB a simple API to efficiently parse and transform complex PDFs into vectors in minutes.
How Are Conversational and Generative AI Tools Impacting Communication?
February 16, 2024 by 1 Comment
In this contributed article, Nate MacLeitch, CEO of QuickBlox, believes that communication is good; AI-enhanced communication is great. AI’s ability to offer services like tone assistance, quick-answer responses, real-time translation, and audio-to-text conversions facilitates collaborative efforts among professionals, patients, and customers, regardless of their background.
Video Highlights: Technical Intro to Transformers and LLMs — with Kirill Eremenko
February 10, 2024 by Leave a Comment
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 explore what goes into well-crafted LLMs, what makes Transformers so powerful, and how to succeed as a data scientist in this new age of generative AI.
Generative AI Report – 1/30/2024
January 30, 2024 by Leave a Comment
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.
The insideBIGDATA IMPACT 50 List for Q1 2024
January 18, 2024 by Leave a Comment
The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.
