How we built it: Payment method A/B testing
Optimize your checkout experience with our industry-first no-code payment method A/B testing tool
MIT AI3 Questions: Inverting the problem of design
Exploring the potential of generative AI models in tackling design challenges in mechanical engineering using self-supervised contrastive learning approaches.
MetaHow Meta built large-scale cryptographic monitoring
Exploring how Meta implemented large-scale cryptographic monitoring to track and analyze cryptography usage at scale
Google CloudEfficiency engine: How three startups deliver results faster with Vertex AI
Explore how three startups leverage Vertex AI to accelerate innovation and deliver results faster.
AWS MLDeliver personalized marketing with Amazon Bedrock Agents
Empower marketers with Amazon Bedrock Agents for efficient personalized content creation
AWS MLGenerate financial industry-specific insights using generative AI and in-context fine-tuning
Harness generative AI and in-context fine-tuning for financial insights using industry-specific prompt engineering techniques
AWS MLGenerative AI for agriculture: How Agmatix is improving agriculture with Amazon Bedrock
Using Amazon Bedrock, Agmatix leverages generative AI to transform agriculture by enhancing R&D processes and accelerating development of higher-yielding seeds and sustainable molecules.
Google CloudHonoring our 2024 Google Cloud Partner All-stars
Celebrating excellence in 2024 with the Google Cloud Partner All-stars program highlighting AI leaders and delivery excellence
DatabricksThe role of AI in changing company structures and dynamics
Exploring the transformative impact of AI on company structures and dynamics
Google CloudHow PUMA leverages built-in intelligence with BigQuery for greater customer engagement
Discover how PUMA utilizes Google Cloud's BigQuery for advanced audience segmentation and engagement.
Berkeley AIVirtual Personas for Language Models via an Anthology of Backstories
Conditioning LLMs with rich life narratives to approximate individual human responses and improve representativeness and consistency.
Apple MLEmpirical Methods in Natural Language Processing (EMNLP) 2024
Apple presenting new research at EMNLP 2024 conference in Miami.