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LLM-First: Where Tech Possibilities Meet User Value in Products and Services
Ready to explore the future of AI and wearable tech? Join us for an exclusive interview with Tom Bianculli, CTO of Zebra Technologies, as we uncover how AI and LLM-first thinking are reshaping industries and empowering the…
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Revolutionizing Learning. Building an AI Product for 15 Million Users Daily
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Disrupt or Be Disrupted: Pushing the Boundaries of AI in Niche Markets
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Academic paper
Fast and Precise: Adjusting the Planning Horizon with Adaptive Subgoal Search
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Gaussian Splatting: Crafting 3D Renders
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Academic paper
Off-Policy Correction For Multi-Agent Reinforcement Learning
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The untapped potential of AI in large enterprises. It’s more than you think!
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The Rise of Small LMs. How we integrated RAG with SLMs into embedded devices
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Computer Vision for Mobile and Edge Devices
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Let’s talk about R in RAG. Practical tips for improving your retrieval results
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Identifying high-impact AI use cases in modern enterprises. A roadmap to success
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Zero-shot object detection with Grounding DINO
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Decoding the Future: The Potential of Large Language Models | Zebra DevCon 2023
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Academic paper
TrelBERT: A pre-trained encoder for Polish Twitter
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Academic paper
Subgoal Search For Complex Reasoning Tasks
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Academic paper
Structure and Randomness in Planning and Reinforcement Learning
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Academic paper
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
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Academic paper
CARLA Real Traffic Scenarios – novel training ground and benchmark for autonomous driving
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Academic paper
Model-Based Reinforcement Learning for Atari
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Academic paper
Applying deep learning to right whale photo identification
