Statistics reveal that a significant 90% of candidates preparing for technical interviews in the field of Generative AI (GenAI) and Large Language Models (LLMs) find themselves challenged by in-depth questions. These interviews often delve into complex topics such as attention mechanisms, Q-learning, and chunking strategies. Despite having some experience, many candidates report that the resources available, particularly on platforms like YouTube, tend to cover only surface-level information. This gap in preparation becomes evident when interviewees are expected to go beyond simple API calls and document feeding, which they find too basic compared to the rigorous questioning they face. To bridge this knowledge divide, candidates are urged to seek out more comprehensive study materials and focus on understanding the intricacies of GenAI and LLMs.
Aditya
@adityawaslost
·
Mar 29 I strongly agree with what
@kirat_tw
says, that as a beginner who uses AI for most of the coding, it will hit a rock bottom, and yes, it happened with me.
What did I do?
>turned off auto-completion
>relying on documentation, articles.
>GPTs only when I don’t understand the code
Nishchal Dua
@NishchalDua
·
5h Did a bunch of GenAI workshops last few weeks with
@themastersunion
@GTMDialogues
&
@GrowthX_Club
folks. Smart people. Crazy energy. Lots of “aha!” moments4 big problems stood out:We are very very early → most people are too scared to adopt AI because of a bad 1st
AI GURU
@TheHighway2AI
·
Apr 3 Like other cutting-edge innovations, generative AI poses complications for organizations to address when rolling out initiatives. According to research by
@Simform
, 43.9% of organizations struggle with acquiring AI expertise.Link http://bit.ly/3U8Pf0B rt
@antgrasso
#GenAI
Mary_julius
@Mary_Julius21
·
Apr 4 Everyone can relate to this. So, what’s missing? AI assistants are great, but they can only function as well as the instructions given to them. You get what you give, so if you ask a vague, general question, you will get a general reply.
MundayMunday
@MundayMuse
·
19h OpenAI’s ChatGPT o1 and DeepSeek’s R1 models are currently experiencing challengers related to “overthinking”, which can negatively impact their accuracy. These language models are designed to engage in logical models are deigned to engage in logical reasoning and
All_Iz_Well
@seenosy
·
15h The questions are so tough and technical jare! You’ve to go through everything word by word.
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