🆕💡🎧 Paco Nathan & I discuss the latest in AI technology: from Ray Compiled Graphs streamlining multi-GPU tasks to Llama 3.2's multimodal breakthroughs. Explore how structured data is enhancing RAG and the role of Graphs in real-world applications. Dive into AI scaling challenges, the rise of open-source tools, and the ongoing debate about model size vs. efficiency. 🚀 https://lnkd.in/gyGckghq
The Data Exchange Podcast
Broadcast Media Production and Distribution
San Francisco, California 1,814 followers
An independent podcast focused on data, machine learning and AI.
About us
The Data Exchange produces an independent podcast and newsletter focused on data, machine learning and AI. The goal is to be more than just a podcast but to create a community to help people make better decisions. It is produced by the Gradient Flow.
- Website
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https://thedataexchange.media/
External link for The Data Exchange Podcast
- Industry
- Broadcast Media Production and Distribution
- Company size
- 2-10 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
Locations
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Primary
San Francisco, California, US
Employees at The Data Exchange Podcast
Updates
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Reimagining Code: The AI-Driven Transformation of Programming and Data Analytics https://lnkd.in/gRs7KJ9t
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🆕💡🎧 Open-source software: Security boon or bane? Mars Lan of Metaphor Data delves into the complexities of open-source security, exploring vulnerabilities, supply chain risks, and best practices for safeguarding your applications. He also describes how technical, semantic, and social graphs enhance data governance, improve collaboration, and data discovery. #GraphRAG #RAG #LLM #opensource #security 🚀 https://lnkd.in/ggdMgUEv
The Security Debate: How Safe is Open-Source Software?
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🆕💡🎧 Yishay Carmiel of Meaning on how Generative AI is revolutionizing voice technology as we know it! Dive into groundbreaking developments in speech recognition, voice synthesis, and real-time voice conversion. Explore how neural codecs are enhancing voice compression and quality 🙌 We'll address the ethical considerations and security challenges of these advancements. Discover future directions and opportunities in AI-driven voice applications. Be part of the conversation on the responsible use of voice AI. 🚀 https://lnkd.in/gB2p2pVB
Generative AI in Voice Technology
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🆕💡🎧 Aurimas Griciūnas of neptune.ai on essential strategies for training, scaling, and deploying LLMs & frontier models. Learn about crucial aspects of LLM Ops, including experiment tracking, visualization challenges, and fault tolerance in long-running processes. Explore the complexities of transitioning from research to production, fine-tuning techniques, and proper evaluation methods. Gain insights into scaling GPU clusters and infrastructure, as well as the importance of observability and guardrails in AI applications 🔥 Discover cutting-edge concepts like agentic AI and multi-agent systems, and stay ahead of emerging trends shaping the future of language technology 🚀 https://lnkd.in/gkF38DVZ
Building An Experiment Tracker for Foundation Model Training
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🆕💡🎧 Monthly Roundup with Paco Nathan 🚨 Join us for a comprehensive discussion on the critical developments in AI technology and policy. We delve into California's SB 1047 and its potential to set a precedent in AI regulation. Explore the shift towards custom AI platforms. Understand AI's expanding role in military applications, including its ethical implications. Discover how generative AI is transforming analyst workflows, automating healthcare appeals, and enhancing real-time applications through flexible solutions 🚀 https://lnkd.in/dbG6BHD7
Monthly Roundup: AI Regulations, GenAI for Analysts, Inference Services, and Military Applications
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🆕🚀🎧 Petros Zerfos and Hima Patel of IBM Research on how the open-source toolkit - Data Prep Kit - can transform how AI teams handle data. From cleaning raw text and processing code to extracting documents and integrating with Ray, this scalable solution simplifies data prep for large language models 🙌 Designed with cloud-native architecture and multimodal capabilities, DPK ensures high-quality input for AI projects at any scale. 🔗 https://lnkd.in/gSKywDde
Unlocking the Power of LLMs with Data Prep Kit
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Andrew Ng on Scaling AI, Data-Centric Approaches, and Agentic Workflows. https://lnkd.in/gJkrvNfd
Advancing AI: Scaling, Data, Agents, Testing, and Ethical Considerations
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🆕🚀🎧 Jay Dawani of Lemurian Labs unravels the intricacies of modern AI systems as we explore the convergence of hardware and software innovation 🙌 From foundation model training to inference optimization, discover how industry leaders are pushing the boundaries of computational capabilities ✔ Dive deep into the world of GPU clusters, heterogeneous computing, and specialized AI supercomputers. Learn about the evolution of Lemurian Labs’s software stack, and the role of domain-specific languages 💡We also explore the challenges of scaling AI models, optimizing deployment strategies, and balancing performance with economic realities. 🔗 https://lnkd.in/eWc_QGyh
Bridging the Hardware-Software Divide in AI
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🆕💡🎧 Monthly Roundup with Paco Nathan We discuss the the economic pressures on LLM & Foundation Model creators 🛑 Explore the trend of custom AI platform development and the challenges of enterprise adoption 🔐 We also discuss software supply chain vulnerabilities in AI #llm #AI #GenerativeAI https://lnkd.in/diXtRPsm