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Discussing AI community happenings, adoption challenges, and model choices
The AI community is experiencing various advancements and developments, such as the shift towards multimodality and generative AI. However, there is a notable gap between the hype surrounding AI and the actual adoption rate in practical enterprise settings. Companies are facing challenges in navigating the adoption of AI due to the abundance of options, such as using open source models, commercial API calls, or large language models from big providers. The struggle lies in integrating these different models effectively, and there is a lack of established best practices in the field. Data science teams are witnessing a shift in their day-to-day work as they explore new avenues like large language models and generative AI, leading to an increase in the variety of positions to support these evolving technologies.