More on Extropic from their website: given the dawn of the Generative-AI-first era, could we fundamentally reimagine what is a “computer”? One could imagine a computer which, instead of suppressing the natural entropy of the world, achieves symbiosis with it, leveraging it as
GENERATIVE AI
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Customer-Centric Approach Shapes Generative AI Product Roadmap
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“We didn’t start with the fixation on the components…we started with our long established customer partnerships.”
— DataRobot (@DataRobot) 3 janvier 2024
Our Chief Customer Officer Jay Schuren shares how a focus on creating measurable impact with #generativeAI for our customers shapes our roadmap.
Learn more:… pic.twitter.com/FwDCsFSr7n“We didn’t start with the fixation on the components…we started with our long established customer partnerships.” Our Chief Customer Officer Jay Schuren shares how a focus on creating measurable impact with #generativeAI for our customers shapes our roadmap. Learn more:
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AI-Driven Consumer Behavior Shift Accelerating Market Changes
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As marketers and business leaders, a recurring theme we need to pay close attention to moving forward is the rapid shift in consumer behavior that will occur with new technologies. This has always been the case, but we are on an accelerated timeline with AI. Here’s an example
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Foundation Model Transparency Index Reveals Commercial AI Opacity
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The launch of the Foundation Model Transparency Index started a conversation about the lack of openness in commercial models. https://
stanford.io/47uBcGk -
ChatGPT UI/UX Efficiency and AI Progress with Jerry Liu
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ChatGPT enhances UI/UX efficiency by 30% by simplifying AI interaction, transforming coding and creative tasks. Jerry Liu's talk demystifies AI's progress, exploring multimodal models, RAG systems, and their impact on data interaction: https://
youtu.be/kZxl4gpe3OM -
Tooling and Storage: Essential Tech Stack for LLM Management
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Jerry emphasizes the importance of tooling and storage for large dataset management in AI, particularly LLMs. Tech stack knowledge is crucial for prompt retrieval, fine-tuning, and effective LLM use.
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Prompt Engineering: Balancing Simplicity and Enterprise Utility in RAG
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@jerryjliu0 highlights prompt engineering, which is integral to AI development and RAG systems, balancing setup simplicity with application utility in enterprises.
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Multimodal AI Integration: Seamless Text, Image, Video, Audio Experience
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Multimodal AI like Gemini enhances user experiences by integrating text, image, video, and audio with low latency, suggesting a future of seamless data interaction.
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Self-Play Fine-Tuning Converts Weak Language Models Strong
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Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Chen et al.: https://
arxiv.org/abs/2401.01335 #Artificialintelligence #DeepLearning #MachineLearning -
RAG Webinar: Build Generative AI Workflows with Real-Time Data
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Join our upcoming webinar to learn how to use retrieval-augmented generation (#RAG) to build an end-to-end #generativeAI workflow using domain-specific, real-time data. Register now: https://
nvda.ws/46ZlLpe