Practical AI AI trends: a Latent Space crossover
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Jun 14, 2023 
Shawn Wang, a writer and editor at Latent Space, joins Alessio Fanelli, CTO at Decibel Partners, for an insightful discussion. They delve into open access LLMs and the evolution of model control techniques, alongside the emerging field of LLMOps. The conversation highlights the importance of prompt engineering and shares reflections from past episodes, including grassroots AI efforts in Africa. Expect a blend of practical insights and challenges that shape the future of AI technology in a rapidly changing landscape.
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Shifting AI Landscape
- Dan Whitenack recalls a time when image generation was the dominant trend in AI, prompting him to consider switching from NLP.
- Now, however, he finds himself focused solely on NLP and language models, highlighting the rapidly shifting landscape of AI.
ML Ops vs. LLM Ops
- The rise of foundation models seems to clash with traditional ML Ops practices.
- A shift is occurring from model-centric ML Ops to LLM Ops, focusing on prompt engineering, control, and evaluation.
Popular Model-Based Episodes
- Latent Space's most popular episodes revolve around specific models, like Replic Code and Amjad Eval.
- This reflects their audience's interest in practical applications, particularly code models and evaluation methods.