Home Machine Learning Computational Pondering is What You Want | by Louis Chan | Mar, 2024

Computational Pondering is What You Want | by Louis Chan | Mar, 2024

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Computational Pondering is What You Want | by Louis Chan | Mar, 2024

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Lacking puzzle piece to LLM Enterprise Augmentation

Since early final 12 months, once we led the event of an enterprise-level GenAI-as-a-service platform, we’ve understandably been bombarded with questions like “What are the artwork of possibles for …” or “Can LLM do …”

On this weblog submit, we are going to dive right into a essential ability that may allow you to reply all these questions higher — computational considering. By the tip of this weblog submit, you’ll have the solutions to:

  • What’s computational considering?
  • Why is that this related to growing LLM use circumstances?
  • What’s a four-step course of that enables us to inject computational considering into LLM use case improvement?

Computational considering is a problem-solving framework that algorithmically breaks down a job into what I prefer to name atomic duties. It entails designing a step-by-step algorithmic method to fixing an issue, figuring out similarities and inefficiencies, and evaluating the relative significance of every step.

Think about cooking a dish.

Recipe sourcing, grocery purchasing, ingredient prep, cooking steps, and dishing are the atomic duties that turn out to be a person unit of motion.

Breaking a posh job down into these atomic duties permits us to see the method clearly. If that you will want so as to add sauce later down the road, get it prepared forward in order that it’s inside arm’s attain. Should you want an ingredient sooner, perhaps put it nearer to you. You’ll now not must rush via discovering an ingredient solely to grasp that you’ve got skipped a step.

Computational considering additionally permits us to uncover transferrable data. If we’ve to cube chives for garnishing, and we’ve to cube celery for cooking, too, the 2 steps require the identical expertise and instruments. Can we then group it to cut back inefficiencies?

This framework of considering additionally permits us to plan the quantity of effort and time wanted for every step for higher predictability & robustness. How lengthy does it take to warmth a pan, chop your substances, put together the sofrito, and cook dinner your pasta…

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