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Explore the future of feature stores and platforms with industry experts, discussing technical challenges, data handling, and AI system optimization for operational machine learning.
Explore data team leadership strategies, from project management to team dynamics, with insights on decision-making, change management, and effective communication in data science organizations.
Explore GetYourGuide's approach to integrating LLMs in production, from decision-making to implementation and safe deployment. Gain insights on prioritizing LLMs and streamlining their integration into product processes.
Explore the potential and limitations of AI agents, focusing on reliability, performance, and safety. Learn about current challenges and future developments in this emerging field.
Explore how Prosus AI leverages generative AI across 80+ tech companies, enhancing work impact. Gain insights from 10,000 daily AI users in a global portfolio of 800+ AI experts.
Explore LLM inference stacks, optimizing model selection, hardware, and code for cost-effective performance. Gain insights on open-source models and future developments in AI serving technology.
Explore data operations and automation in finance with Richa Sachdev. Learn to translate business goals into product decisions, optimize user experience, and leverage MLOps strategies for success.
Explore MLOps vs ML Orchestration with Ketan Umare, discussing Union.AI, Flyte, community-driven development, real-time data handling, and democratizing machine learning for broader accessibility and efficiency.
Explore techniques for automating data annotation using Large Language Models. Learn workflows, result interpretation, validation, and integration into machine learning pipelines for efficient model finetuning.
Explore LLM finetuning strategies, including low-rank adaptation, and learn to create custom LLMs using open-source software. Gain insights into various LLM applications and techniques.
Explore AI power centralization, language limitations, and open-source initiatives. Gain insights on AI transparency, accountability, and the evolving landscape of machine learning frameworks.
Explore insights on building CLIP and large language models, AI integration, and balancing tech career with family life. Gain valuable perspectives from a seasoned Deep Learning Engineer.
Explore LLM application evaluation with Shahul Es. Learn about debugging, benchmarks, custom data distributions, and fine-tuning to enhance model performance in this insightful discussion.
Explore ML platform development, community building, and advocacy at Wolt. Gain insights on onboarding data scientists, creating user-friendly documentation, and implementing DevRel strategies for effective ML deployments.
Explore expert insights on overcoming challenges in ML application production, from organizational structure to tech stack bottlenecks, with practical strategies for efficient deployment.
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