Hi — I’m the creator of LLMInterview.com and wanted to suggest it transparently as a complementary resource.
Your repo is a strong general machine-learning interview guide. LLMInterview is narrower and job-specific: candidates paste the exact job description, recruiter notes, and their own background, then get a free map of likely rounds, what is recruiter-confirmed vs inferred, where their background may get pressed, and what to prioritize first. Unknowns stay labeled unknown.
Resource: https://llminterview.com/?utm_source=github&utm_medium=resource_referral&utm_campaign=resource_placement&utm_content=khangich
Methodology: https://llminterview.com/methodology
Synthetic benchmark: https://llminterview.com/hidden-risk-experiment
If it fits your resource recommendations, I’d be grateful for consideration and happy to follow your preferred contribution format.
Thanks,
Anderson
Pricing and review clarification, September 18: This is a proprietary hosted product. The free map requires no card; the optional Full Interview Map is $39 USD once per interview, not a subscription. Recruiter notes and background are optional. Personal preparation gaps depend on the information supplied, and the tool does not provide verified company questions or guarantee the actual loop.
The complete Full Interview Map example is available without purchasing. Its company, candidate and recruiter notes are all fictional, not customer evidence.
Possible annotated entry, subject to your selection criteria:
LLMInterview: Job-specific AI/LLM interview preparation. Free map; optional $39 one-time full map. Hosted proprietary service that separates recruiter-confirmed details from estimates. Submitted by its founder.
This is a clarification of the existing request, not another submission or a claim of inclusion.
Hi — I’m the creator of LLMInterview.com and wanted to suggest it transparently as a complementary resource.
Your repo is a strong general machine-learning interview guide. LLMInterview is narrower and job-specific: candidates paste the exact job description, recruiter notes, and their own background, then get a free map of likely rounds, what is recruiter-confirmed vs inferred, where their background may get pressed, and what to prioritize first. Unknowns stay labeled unknown.
Resource: https://llminterview.com/?utm_source=github&utm_medium=resource_referral&utm_campaign=resource_placement&utm_content=khangich
Methodology: https://llminterview.com/methodology
Synthetic benchmark: https://llminterview.com/hidden-risk-experiment
If it fits your resource recommendations, I’d be grateful for consideration and happy to follow your preferred contribution format.
Thanks,
Anderson
Pricing and review clarification, September 18: This is a proprietary hosted product. The free map requires no card; the optional Full Interview Map is $39 USD once per interview, not a subscription. Recruiter notes and background are optional. Personal preparation gaps depend on the information supplied, and the tool does not provide verified company questions or guarantee the actual loop.
The complete Full Interview Map example is available without purchasing. Its company, candidate and recruiter notes are all fictional, not customer evidence.
Possible annotated entry, subject to your selection criteria:
This is a clarification of the existing request, not another submission or a claim of inclusion.