Explore

FactFable FactFable
How RLHF Quietly Reshaped What AI Can Do

How RLHF Quietly Reshaped What AI Can Do

An explanation of Reinforcement Learning from Human Feedback (RLHF), the training technique that made AI models like ChatGPT feel so human-like and useful.
FactFable FactFable
The Context Window Clue Most People Miss in an OpenAI Update

The Context Window Clue Most People Miss in an OpenAI Update

OpenAI's updates often contain subtle hints about the future of AI. Here’s the critical detail about the context window you may have overlooked.
FactFable FactFable
Why an OpenAI Update Does Not Automatically Fix Hallucinations

Why an OpenAI Update Does Not Automatically Fix Hallucinations

AI models like ChatGPT can confidently invent facts, a problem called 'hallucinations.' Here's why the latest software updates don't solve this core issue.
FactFable FactFable
Why Better AI Models Can Create Stranger Reliability Edge Cases

Why Better AI Models Can Create Stranger Reliability Edge Cases

As AI models become more powerful, they don't just get smarter; their failures can become more bizarre and unpredictable. Here's why.
FactFable FactFable
The Hidden Detail About retrieval-augmented generation Most Engineers Skip

The Hidden Detail About retrieval-augmented generation Most Engineers Skip

Many engineers focus on the LLM in RAG systems, but the most crucial and often-skipped detail lies in the quality of the information retrieval.
FactFable FactFable
Why Better OpenAI Models Can Make Product Decisions Harder

Why Better OpenAI Models Can Make Product Decisions Harder

As AI models like OpenAI's get smarter, they introduce new complexities around cost, scope, and predictability that can make product strategy harder.
FactFable FactFable
How gradient descent Quietly Reshaped What AI Can Do

How gradient descent Quietly Reshaped What AI Can Do

Learn about gradient descent, the simple but powerful algorithm that acts as the hidden engine behind today's most advanced artificial intelligence.
FactFable FactFable
Why Bigger Context Windows Do Not Always Mean Better Products

Why Bigger Context Windows Do Not Always Mean Better Products

Learn why the race for bigger AI context windows has hidden downsides, from higher costs and slower speeds to a surprising drop in accuracy.
FactFable FactFable
Observability Mistakes Can Hide OpenAI Update Failures

Observability Mistakes Can Hide OpenAI Update Failures

Building on OpenAI is powerful, but silent updates can cause chaos. Learn the common observability mistakes that leave your application vulnerable.
FactFable FactFable
The Real Reason few-shot learning Took Decades to Work

The Real Reason few-shot learning Took Decades to Work

Few-shot learning allows AI to learn from just a few examples, but why did it take decades to become a reality? The answer isn't just more data.
FactFable FactFable
The Model Deprecation Detail That Can Break Enterprise Workflows

The Model Deprecation Detail That Can Break Enterprise Workflows

Companies are adopting AI models at a record pace, but a subtle detail in how these models are retired can silently cripple business operations.
FactFable FactFable
The Real Meaning of Better Reasoning in an OpenAI Update

The Real Meaning of Better Reasoning in an OpenAI Update

Beyond the marketing, what does it actually mean when OpenAI claims its AI has “better reasoning”? We break down the practical implications.