AI Consulting Partner / Solution Architect / Technical Product Manager
This is an *excellent* overview of the state of the art in embedding models to power AI retrieval. I’m adding ColBERT V2 and Late Interaction to my backlog of things to experiment with https://lnkd.in/euW_Af2V
If you missed our webinar, Scaling AI Beyond Vectors with #datascienceconnect, you can watch it here. Aakarsh Ramchandani, Chief Strategy Officer, Ravenpack (Bigdata.com), and Jon Bratseth, CEO and Founder of Vespa.ai, discuss strategies for leveraging generative AI beyond #vectordatabases. Topics include scaling AI systems for performance, combining #machinelearning with search capabilities for enhanced retrieval-augmented generation (#RAG) and best practices for getting started with generative AI.
Lead Design Engineer @ Tata Elxsi | Innovating for Jaguar Land Rover | Powertrain | Specializing in Project Management, New Product Development, & Advanced Wiring Harness Solutions.
just finished the course reading Prompt Engineering: How to Talk to the AIs. It was an insightful journey into the world of AI communication, offering practical tips and techniques to effectively interact with AI systems.
The focus on active inference fundamentally alters the power dynamics in the AI field. It moves away from the "super intelligent model" paradigm to one where models can iteratively arrive at correct answers. This shift potentially levels the playing field, allowing companies not primarily focused on model development to compete more effectively. Maybe like a web of AI models?
💎 A strong LLM evaluation pipeline is both iterative and multifaceted. 🛠️ Our CEO breaks down how to systematically evaluate your AI systems using the new open-source tool, Opik:
🚀 Building GenAI applications with LLMs and RAGs? A strong evaluation pipeline is your secret weapon. I just shared a thread on X that breaks down how to systematically test and improve your AI systems. Dive into the details here: https://lnkd.in/evYKswjN
🚀 Building GenAI applications with LLMs and RAGs? A strong evaluation pipeline is your secret weapon. I just shared a thread on X that breaks down how to systematically test and improve your AI systems. Dive into the details here: https://lnkd.in/evYKswjN
How to Harness the Power of Top AI Tools for Game-Changing Results
📢 Webinar recording: Earlier this week, our CEO Jon Bratseth and Ravenpack CSO Aakarsh Ramchandrani shared fascinating perspectives on the current state and future of RAG. In an engaging fireside-style exchange, they: • 🔍 Unpacked real-world RAG implementation strategies • 💡 Revealed key lessons learned from practical applications • 🔮 Offered forward-looking insights into AI's trajectory in 2025 Missed the live session? YouTube link is in the comments 👇 #AI #Vespa #RAG #VectorDatabase
Harnessing the capabilities of AI in real-time and at scale is crucial for many industries today. Delighted to share insights on "Powering AI in real-time and at scale with Real-Time Intelligence." Check out this comprehensive video that delves into the topic: [Powering AI in real-time and at scale with Real-Time Intelligence](https://lnkd.in/e5TNCMYZ). Let's explore how real-time intelligence can transform your business operations and drive innovation. Don't miss out on this opportunity to stay ahead in the AI landscape!
How to talk with a GenAI model? In my new article on Towards AI, I talk about: a) Prompt Engineering, b) Advanced Prompts, c) Setting Temperature and Top-p parameters, d) Quantized Model Optimization, and e) Grammar-constrained Sampling. #datascience #genai #llms
AI Consulting Partner / Solution Architect / Technical Product Manager
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