Sveriges mest populära poddar
Data Brew by Databricks
UtbildningTeknologi

Enterprise AI: Research to Product | Data Brew | Episode 43

38 min•10 april 2025

In this episode, Dipendra Kumar, Staff Research Scientist, and Alnur Ali, Staff Software Engineer at Databricks, discuss the challenges of applying AI in enterprise environments and the tools being developed to bridge the gap between research and real-world deployment.

Highlights include:
- The challenges of real-world AI—messy data, security, and scalability.
- Why enterprises need high-accuracy, fine-tuned models over generic AI APIs.
- How QuickFix learns from user edits to improve AI-driven coding assistance.
- The collaboration between research & engineering in building AI-powered tools.
- The evolving role of developers in the age of generative AI.

Fler avsnitt av Data Brew by Databricks

Visa alla avsnitt av Data Brew by Databricks
Reinforcement Fine-Tuning and the Future of Specialized AI Models
•40 min
Benchmarking Domain Intelligence | Data Brew | Episode 45
•32 min
SWE-bench & SWE-agent | Data Brew | Episode 44
•36 min
Multimodal AI | Data Brew | Episode 42
•42 min
Age of Agents | Data Brew | Episode 41
•41 min
Reward Models | Data Brew | Episode 40
•40 min
Retrieval, rerankers, and RAG tips and tricks | Data Brew | Episode 39
•45 min
The Power of Synthetic Data | Data Brew | Episode 38
•42 min
Secret to Production AI: Tools & Infrastructure | Data Brew | Episode 37
•37 min
Mixture of Memory Experts (MoME) | Data Brew | Episode 36
•41 min

Data Brew by Databricks med Databricks finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.