RAG vs Fine-Tuning: Which One Does Your Problem Actually Need?
There’s a question that shows up in every AI project meeting eventually, usually around the time someone realises …
Abhay
4 min read
There’s a question that shows up in every AI project meeting eventually, usually around the time someone realises …
Abhay
4 min read
Human language is a glorious mess. We use “bank” for both rivers and money, end sentences with prepositions …
Abhay
5 min read
Most machine learning problems don’t care about order. Shuffle your spam emails, your cat-vs-dog photos, your loan …
Abhay
4 min read
Picture a relay race where every runner secretly changes the distance of the baton handoff between laps. The next runner …
Abhay
5 min read
Every data scientist has felt the high: you train a model, check the test score, and it reads 96%. You mentally draft …
Abhay
5 min read
Every time you chat with an AI, ask it to summarise a contract, or watch it generate an image of a corgi in a spacesuit, …
Abhay
4 min read
For the last few years, the AI playbook had exactly one move: bigger. More parameters, more GPUs, more billions. If a …
Abhay
4 min read
Large language models are brilliant conversationalists with one inconvenient flaw: they will confidently make things up …
Abhay
5 min read
Your model hits 94% accuracy in the notebook. Everyone claps. Then someone asks the question that turns triumph into …
Abhay
4 min read
Every model wants to be a star pupil. Give it enough freedom and it will happily memorise your training data down to the …
Abhay
4 min read