Главная
Study mode:
on
1
[] AI Quality Conference
2
[] Verena's preferred coffee
3
[] Takeaways
4
[] Ski Person of Influence
5
[] Verena's background in the last 5-10 years
6
[] Tech Evolution: Rapid Transformation
7
[] Working at Amazon and key challenges
8
[] Research-inspired suggestions
9
[] AI Updates Impact Workflows
10
[] Alexa Query Distribution Analysis
11
[] Innovative Solutions for Alexa
12
[] Robust T5 Data Prompting
13
[] Audio Data Quality Challenges
14
[28:21-] Zilliz ad
15
[] Alexa data transcription and data cleaning
16
[] Considering needs, costs, and complexity
17
[] ChatGPt is not ideal for classification
18
[] Comparison of model building using TF, IDF
19
[] Struggle to boost diversity in conference speakers
20
[] Creating safe environments helps underrepresented individuals participate
21
[] Wrap up
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the challenges and trends in Generative AI production in this insightful podcast episode featuring Verena Weber, a Generative AI Consultant. Delve into key topics such as model size, context window breakthroughs, the shift from unimodality to multimodality, and the impact of EU AI Act regulations. Learn how Gemini 1.0 and 1.5 exemplify these trends. Gain valuable insights from Weber's diverse experience in data science, NLP, and deep learning, including her time at Amazon's Alexa team. Discover practical applications of GenAI in business, strategies for improving AI systems like Alexa, and the importance of data quality in AI development. The discussion also touches on promoting diversity in tech and creating inclusive environments for underrepresented individuals in the field.

GenAI in Production - Challenges and Trends - Lecture 224

MLOps.community
Add to list
00:00
-01:32