Discover how you can use THIS tool to enhance your local LLM and get 3 Opus tips from Claude.

Using chat GPT 3.5, I cracked the code to make my local LLM smarter. By analyzing user input and using Python code, I was able to enhance the response to questions. With a mix of local models and APIs, I even tackled complex queries like Bitcoin prices. And with anthropic CLA 3 Opus, I added a new feature in just minutes. This has been an epic journey of boosting intelligence! 🚀

Testing the Intelligence of LLM

Okay, so this is a custom test I used to check the intelligence of LLM. We are running it on chat GPT 3.5. The answer calculated by the system was 32 apples, but the correct answer is 36. By using the API, we were able to create a Python code that fixed this error and resulted in the accurate output of 36 apples.

Key Takeaways

Test OutcomeConclusion
Corrected Output36 apples
System UsedChat GPT 3.5 with API

Implementing CLA 3 Opus Features

The logic behind this system involves analyzing user input queries to determine if code is necessary to improve the answer. If yes, the system will write and execute the code, then use the context to enhance the response of the LLM.

Code Analysis Logic

should use codeDetermines when to use Python code
Code OutputStored output from executed code
Natural Language ResponseProvides helpful answers based on context

Testing Different Models

We started by using a local model on the system, switching out all functions related to open AI for our local model. Then, we tested using an API to find out the price of Bitcoin today and the upcoming weekend weather forecast for London.

Price of Bitcoin Today

Price of Bitcoin: $72287

Upcoming Weekend Weather Forecast

Weather Forecast: Overcast clouds, temperature of 13° Fahrenheit, humidity of 81%

Experimenting with CLA 3 Opus for Coding

We attempted to use an API to find out the cost and worth of one Bitcoin one year ago and compare it with today’s value. After encountering errors, we switched models and successfully obtained accurate results.

Percentage Gain Calculation

  • Cost of Bitcoin One Year Ago: $24,178
  • Current Cost: $71,000
  • Percentage Gain: 195%

Adding New Features with CLA 3 Opus

We demonstrated how easy it is to add new features to existing code using CLA 3 Opus. By simply providing instructions, we were able to prompt users for permission before executing code and generate alternative code options.

Updated Feature

Before executing code, users are prompted to confirm with "y" or "n". If "y" is pressed, the code will execute; if "n", a different code will be suggested.

In conclusion, CLA 3 Opus offers a seamless way to enhance the intelligence of LLM through advanced coding capabilities. It has proven to be efficient in handling various tasks and adding new features effortlessly. If you’re interested in accessing the code used in this demonstration, consider becoming a member for full access. Have a great day!

About the Author

All About AI
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Welcome to my channel All About AI =)Website:
How you can start to use Generative AI to help you with creative or other daily tasks.So I aim to bring Generative AI to everyone.– AI Engineering – ChatGPT – GPT-4 – Midjourney – Stable Diffusion – Python – AI AutomationWe will answer all your questions about ai, genereal questions about the future of ai and the ethics of artificial general intelligence.Follow our channel if you want to get going in this space =)
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