π£οΈ LLMOps, GenAI Stacks, & ML Platform Job Displacement π¬
mikikobazeley.substack.com
This past week, I got the chance to engage in the following awesome activities:
β Hang out with my friends Ken Jee, Tina, Daliana, etc and chat about trends in data science, machine learning, and Gen AI;
β Attend Zendeskβs conference where they announced their rollout of LLM-enabled capabilities;
β Attend the Tech Comedy Roast, which offers up cogent and timely jokes & burns based on trending tech tropes.
Of course, the discussions veered to the viability of the data scientists and machine learning engineers during the age of #genai and whether there was still a future for those roles.
My personal opinions tend to be more conservative in terms of pace of growth and adoption.
However Iβd love to know whatβs on your minds.
π What are the burning questions you have?
My next couple posts will most likely cover:
π Impact of LLMs & Gen AI on the #mlops stack (if any)
π Impact on ML platform engineers (if any)
π How to keep moving forward in your data science & ML journey, even when everything feels chaotic.
π£οΈ LLMOps, GenAI Stacks, & ML Platform Job Displacement π¬
π£οΈ LLMOps, GenAI Stacks, & ML Platform Job Displacement π¬
π£οΈ LLMOps, GenAI Stacks, & ML Platform Job Displacement π¬
This past week, I got the chance to engage in the following awesome activities:
β Hang out with my friends Ken Jee, Tina, Daliana, etc and chat about trends in data science, machine learning, and Gen AI;
β Attend Zendeskβs conference where they announced their rollout of LLM-enabled capabilities;
β Attend the Tech Comedy Roast, which offers up cogent and timely jokes & burns based on trending tech tropes.
Of course, the discussions veered to the viability of the data scientists and machine learning engineers during the age of #genai and whether there was still a future for those roles.
My personal opinions tend to be more conservative in terms of pace of growth and adoption.
However Iβd love to know whatβs on your minds.
π What are the burning questions you have?
My next couple posts will most likely cover:
π Impact of LLMs & Gen AI on the #mlops stack (if any)
π Impact on ML platform engineers (if any)
π How to keep moving forward in your data science & ML journey, even when everything feels chaotic.