In this contributed article, Josh Reini, Developer Relations Data Scientist, TruEra, discusses how gaining the required confidence to deploy GenAI apps at scale can be challenging, and structured evaluation has gained recognition as a key requirement on the path from science experiment to customer value. Evaluation frameworks can play a critical role in this journey by allowing developers to run experiments faster and gain systematic validation for production readiness. Connecting such an evaluation framework with a scaled observability platform brings confidence in production. This article explores five practical steps to move LLM applications from early prototypes to scaled, production applications.
Fine-Tune Your LLMs or Face AI Failure
March 11, 2024 by Leave a Comment
In this contributed artticle, Dr. Muddu Sudhakar, CEO and Co-founder of Aisera, focuses on the downsides of general-purpose Gen AI platforms and why enterprises can derive more value from a fine-tuned model approach.
Video Highlights: The 3 Steps of LLM Training with Lisa Cohen
March 9, 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 Lisa Cohen, Google’s Director of Data Science and Engineering, to discuss the capabilities of the cutting-edge Gemini Ultra LLM and how it stands toe-to-toe with GPT-4.
Overcoming the Technical and Design Hurdles for Proactive AI Systems
March 6, 2024 by Leave a Comment
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.
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.
