Ben Lorica and Paco Nathan on BAML, Hunyuan Large, Disney Robotics, Drone Delivery, and Why AI Workloads Challenge Kubernetes.
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This is our monthly conversation on topics in AI and Technology with Paco Nathan, the founder of Derwen, a boutique consultancy focused on Data and AI.
Interview highlights – key sections from the video version:
Relevant Links
BAML, a language that helps you get structured data from LLMs, with the best DX possible. See “Seven Features That Make BAML Ideal for AI Developers”.
Drug repurposing: progress, challenges and recommendations
Tencent Hunyuan Large, an open-source Transformer-based Mixture of Experts (MoE) model with 389 billion parameters and 52 billion activated parameters, which supports a context length of up to 256,000 tokens.
Disney:
- Walt Disney forms business unit to coordinate use of AI, augmented reality
- Breathing Life into Disney’s Robotic Characters with Deep Reinforcement Learning
Amazon Prime Air Delivery: MK30 delivery drones have secured FAA clearance for beyond-visual-line-of-sight operations, utilizing sophisticated onboard collision avoidance technology.
Voice applications
- F5-TTS: Where Text-to-Speech Meets Zero-Shot Voice Cloning
- Moonshine: Fast and accurate automatic speech recognition (ASR) for edge devices
AI Infrastructure and Use Cases:
- From Standalone to Integrated: Evolving Vector Embedding Storage
- Why AI Workloads Challenge Kubernetes
- Understanding Multimodal LLMs
- Panama Papers Investigation using Entity Resolution and Entity Linking
Recommendations:
- [Ben] Vampire State: The Rise and Fall of the Chinese Economy by Ian Williams
- [Paco] Caste: The Origins of Our Discontents by Isabel Wilkerson
- [Paco] AI Incident Database
Related content:
- A video version of this conversation is available on our YouTube channel.
- Previous monthly roundups with Ben Lorica and Paco Nathan
- Vaibhav Gupta → Unleashing the Power of BAML in LLM Applications
- Yishay Carmiel → Generative AI in Voice Technology
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