Challenges in AI
Rens and Patrick discuss the challenges of implementing large language models in real-time applications, highlighting issues such as cost, latency, and model evaluation. They delve into the complexities of optimizing language models for practical use and compare it to traditional machine learning approaches.In this clip
From this podcast
Beyond Coding Podcast
Generative AI, LLM Implementations and Challenges | Rens Dimmendaal | Beyond Coding Podcast #123
Related Questions
What challenges are faced in training large language models (LLMs) as discussed in the episode Jennifer Prendki Interview - Agile Machine Learning - TWiML Talk #46 and the clip Monitoring NLP Models?
What challenges are faced in training large language models (LLMs) as discussed in the episode Jennifer Prendki Interview - Agile Machine Learning - TWiML Talk #46 and the clip Monitoring NLP Models?
How do these large language models compare?