Hipokamp vs AI - LLM nie potrafi tego co Ty • Jakub Pilimon, Sławek Sobótka • Beyond Code 2024

Introduction

This tutorial provides insights into the differences between the hippocampus' neural network and large language models (LLMs). By understanding the techniques for problem-solving presented in the video, you'll be equipped to better analyze and generalize complex issues in software development.

Step 1: Understanding the Hippocampus and Its Function

• The hippocampus in the brain is crucial for generalizing and transferring meanings across different contexts.
• Recognize that your ability to process and connect information mimics the way the hippocampus functions.
• Practical Advice:
  • Reflect on your experiences to identify patterns in problem-solving.
  • Use analogies from the hippocampus to relate new information to existing knowledge.

Step 2: Identifying Problem Structures

• Many problems have already been solved; the key is to build a model based on the right data structure and algorithm.
• Common structures to consider include:
  • Graphs
  • Priority queues
  • Knapsack algorithms
• Practical Advice:
  • When faced with a problem, break it down to identify its underlying structure.
  • Use flowcharts or diagrams to visualize relationships between components.

Step 3: Techniques for Inference

• Learn specific inference techniques that help dissect the core of a problem, separating it from business-specific details.
• Techniques to consider:
  • Deductive reasoning: Start with a general statement and deduce specific instances.
  • Inductive reasoning: Observe specific examples to form a general conclusion.
• Practical Advice:
  • Practice these techniques on real-world problems to enhance your analytical skills.
  • Collaborate with peers to discuss different approaches to inference.

Step 4: Comparing Neural Networks

• Understand that the neural network of the hippocampus operates differently than LLMs.
• Key Differences:
  • The hippocampus focuses on memory and learning through experience, while LLMs are trained on vast datasets to predict language patterns.
• Practical Advice:
  • Explore how these differences impact the way you approach problem-solving in coding and software development.

Conclusion

In summary, by leveraging techniques inspired by the hippocampus and understanding problem structures, you can enhance your problem-solving skills in software development. Consider applying these methods to real-world projects to refine your approach. For further exploration, engage with resources that delve deeper into neural networks and algorithms.