AI basics: what “models” are and how they work
Practical Sensecentral guide to ai basics: what “models” are and how they…
Build a simple spam classifier (concept + steps)
Practical Sensecentral guide to build a simple spam classifier (concept + steps)…
Sentiment analysis tutorial: use cases and evaluation
Practical Sensecentral guide to sentiment analysis tutorial: use cases and evaluation covering…
Retrieval-Augmented Generation (RAG) explained simply
Practical Sensecentral guide to retrieval-augmented generation (rag) explained simply covering concepts, workflow,…
Create embeddings and semantic search (conceptual)
Practical Sensecentral guide to create embeddings and semantic search (conceptual) covering concepts,…
Fine-tuning vs RAG: what to choose and when
Practical Sensecentral guide to fine-tuning vs rag: what to choose and when…
Model evaluation: accuracy, precision/recall, and trade-offs
Practical Sensecentral guide to model evaluation: accuracy, precision/recall, and trade-offs covering concepts,…
Reduce hallucinations: practical guardrails
Practical Sensecentral guide to reduce hallucinations: practical guardrails covering concepts, workflow, comparison…
Build an AI email assistant: do’s and don’ts
Practical Sensecentral guide to build an ai email assistant: do’s and don’ts…
AI safety basics: avoid leaking secrets and PII
Practical Sensecentral guide to ai safety basics: avoid leaking secrets and pii…
