0:57
Eval-driven development. | Product Pieces: AI Solutions 57
Product Pieces
Evals, the new unit test. | Product Pieces: AI Solutions 56
Synthetic data. | Product Pieces: AI Solutions 55
Training-data quality, garbage in. | Product Pieces: AI Solutions 54
The AI data pipeline. | Product Pieces: AI Solutions 53
Designing for cost and caching. | Product Pieces: AI Solutions 52
Model routing and fallbacks. | Product Pieces: AI Solutions 51
Guardrails, by design. | Product Pieces: AI Solutions 50
Reasoning models. | Product Pieces: AI Solutions 49
Multi-agent systems. | Product Pieces: AI Solutions 48
Agents. | Product Pieces: AI Solutions 47
The Model Context Protocol (MCP). | Product Pieces: AI Solutions 46
Tool calling (function calling). | Product Pieces: AI Solutions 45
RAG vs fine-tuning vs prompting, the decision. | Product Pieces: AI Solutions 44
Fine-tuning. | Product Pieces: AI Solutions 43
Context engineering. | Product Pieces: AI Solutions 42
Chunking and retrieval quality. | Product Pieces: AI Solutions 41
Vector databases. | Product Pieces: AI Solutions 40
Embeddings. | Product Pieces: AI Solutions 39
Retrieval-augmented generation (RAG). | Product Pieces: AI Solutions 38
Grounding, stop it making things up. | Product Pieces: AI Solutions 37
Structured outputs. | Product Pieces: AI Solutions 36
Few shot, teaching by example. | Product Pieces: AI Solutions 35
System prompts and instructions. | Product Pieces: AI Solutions 34
Prompt engineering. | Product Pieces: AI Solutions 33
Pricing and margin. | Product Pieces: AI Solutions 32
The thin-wrapper trap. | Product Pieces: AI Solutions 31
The data flywheel, your real moat. | Product Pieces: AI Solutions 30
Are you data-ready? | Product Pieces: AI Solutions 29
Data is the real product. | Product Pieces: AI Solutions 28
Model lock-in and portability. | Product Pieces: AI Solutions 27
Open vs closed models. | Product Pieces: AI Solutions 26
Model selection, picking the brain. | Product Pieces: AI Solutions 25
Foundation models vs your own model. | Product Pieces: AI Solutions 24
Buy, rent or build the model. | Product Pieces: AI Solutions 23
The cost of being wrong, risk tolerance. | Product Pieces: AI Solutions 22
Augment or automate? Copilot vs autopilot. | Product Pieces: AI Solutions 21
What AI is still bad at. | Product Pieces: AI Solutions 20
What AI is genuinely good at. | Product Pieces: AI Solutions 19
AI vs traditional software, when rules win. | Product Pieces: AI Solutions 18
Is this an AI problem at all? | Product Pieces: AI Solutions 17
The capability, cost and control triangle. | Product Pieces: AI Solutions 16
Why models hallucinate. | Product Pieces: AI Solutions 15
Prompts, programming in plain English. | Product Pieces: AI Solutions 14
Parameters, weights and model size. | Product Pieces: AI Solutions 13
Transformers and attention, just enough. | Product Pieces: AI Solutions 12
The context window. | Product Pieces: AI Solutions 11
Tokens. | Product Pieces: AI Solutions 10
Large language models, plainly. | Product Pieces: AI Solutions 09
Training vs inference. | Product Pieces: AI Solutions 08
Model types, the AI zoo. | Product Pieces: AI Solutions 07
What a model is (and isn't). | Product Pieces: AI Solutions 06
Supervised, unsupervised, reinforcement. | Product Pieces: AI Solutions 05
Machine learning, in one page. | Product Pieces: AI Solutions 04
Deterministic vs probabilistic. | Product Pieces: AI Solutions 03
Generative vs predictive AI. | Product Pieces: AI Solutions 02
What an AI product actually is. | Product Pieces: AI Solutions 01
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