ML Platform Podcast

Year in Review: LLMs & LLMOps, State of MLOps, and What's Next in 2024

Dec 22, 2023
Topics discussed in this podcast include the state of MLOps and LLMOps, the impact of LLMs on layoffs and ML team composition, unsolved LLM challenges, use cases that don't align with LLMs, MLOps and LLMOps predictions for 2024, and more.
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Episode notes
1
Introduction
00:00 • 2min
2
The Convergence of ML Ops and DevOps
02:06 • 7min
3
The Importance of Model Registry in Managing Machine Learning Models
09:11 • 6min
4
The Impact of Layoffs and the Composition of ML Teams
15:23 • 12min
5
The Interconnection of Testing and Software Release
27:52 • 14min
6
Importance of Model Evaluation and Challenges
41:45 • 5min
7
Agents, Context Extraction, and the Role of Vectors in Communication
47:05 • 2min
8
Challenges and Limits in High Throughput Recommender Systems
48:58 • 9min
9
Challenges of Using Language Models and the Potential for New Players
57:46 • 2min