1) Being up to date with the latest capabilities - this one has slowed down a bit, and my biggest self-learning experience was in August/September, and most of the intuition still works. However, although I had time to do so, it's hard to ask my team to drop 5-6 free weekends of their lives to get up to speed
2) Transition period where not everyone is on the same page about LLM - this I think is much harder, because the expectations from the executives are much different than on the ground developers using LLMs.
A lot of people could benefit on alignment of expectations, but once again, it's hard to explain what is possible and not possible if your statements will become nullified a month later with a new AI model/product/feature.
1) Being up to date with the latest capabilities - this one has slowed down a bit, and my biggest self-learning experience was in August/September, and most of the intuition still works. However, although I had time to do so, it's hard to ask my team to drop 5-6 free weekends of their lives to get up to speed
2) Transition period where not everyone is on the same page about LLM - this I think is much harder, because the expectations from the executives are much different than on the ground developers using LLMs.
A lot of people could benefit on alignment of expectations, but once again, it's hard to explain what is possible and not possible if your statements will become nullified a month later with a new AI model/product/feature.