AI Mock Interview Platform: System Design at Scale
Design an AI mock interview platform for one million candidates: real-time voice loop, GPU model serving, stateful sessions, scoring, failover, and cost.
11 articles
Design an AI mock interview platform for one million candidates: real-time voice loop, GPU model serving, stateful sessions, scoring, failover, and cost.
Context engineering explained for interviews: how to assemble prompts, memory, retrieval, and compression into a token budget the context window can actually hold.
Fix PyTorch CUDA out-of-memory errors with profiling, batch and sequence controls, AMP, checkpointing, allocator tuning, distributed fixes, and GPU diagnostics.
OpenAI RateLimitError has two causes that need opposite fixes: insufficient_quota (billing) and rate_limit_exceeded (throughput). Diagnose which, then fix it.
This Hugging Face message is a warning, not the real error — the crash comes later. Fix it with explicit truncation, and watch for the model_max_length sentinel trap.
If bitsandbytes loads libbitsandbytes_cpu.so, no CUDA binary matched. Upgrade bitsandbytes first, confirm a CUDA PyTorch, then fix the library path.
Two causes account for almost every ChromaDB 'collection does not exist' — using get_collection instead of get_or_create, and an ephemeral client that never persisted.
A Hugging Face 401 means the token is missing, invalid, or lacks access. Learn to tell 401 from 403 and 404, and fix gated and private repo access.
A LangChain ValidationError is a Pydantic error — and it names the exact field. Read loc/type/input, and fix the Pydantic v1 vs v2 mismatch behind most of them.
This Hugging Face error means one of two things: a Hub id that can't be found, or a local folder missing tokenizer files. Learn which, then fix it fast.
"Download failed" isn't one error. Triage it by symptom — wrong name, gated auth, network/SSL/proxy, timeout, or a corrupted cache — and apply the right fix.