Practical AI: Machine Learning, Data Science, LLM

Automating code optimization with LLMs

Aug 29, 2023

45:01

Snipd AI

Mike, an AI code optimization expert, joins the hosts to discuss practical code optimizations using AI "translation" of slow to fast code. They explore the use of Language Model Driven Learning (LLMs) and Meta's Code Llama for automating code optimization. They also discuss the state of code generation models in open source and closed source ecosystems, dealing with code hallucinations, and exciting advancements in AI-driven developer tools.

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Quick takeaways

Automating code optimization using AI-driven tools like Turintech AI can improve code performance and efficiency without requiring specialized knowledge in code optimization techniques.

AI-based code optimization tools integrated into the CI-CD process are capable of optimizing code for speed, memory, and CPU usage, leading to significant improvements in execution time up to 30%.

Deep dives

Code Optimization with AI

Code optimization involves improving the performance and efficiency of code. This includes making applications faster, optimizing memory consumption, and reducing CPU usage. Traditional code optimization has been a manual process, but with the advent of AI, tools are being developed to automate and streamline the optimization process. AI-driven code optimization tools, such as those being developed by Turintech AI, leverage machine learning models to analyze code and provide recommendations for improving its performance. These tools are designed to help developers optimize their code without requiring specialized knowledge or expertise in code optimization techniques.

Using Close Source API for Application-Dependent LLM Output

04:46

Applying Multi-Objective Optimization in Code Translation

01:32

Introduction

2min

Code Optimization and AI-Based Developer Tools

11min

Automating code optimization using LLMs and Meta's Code Llama

4min

State of Code Generation Models

17min

Code Hallucinations and Optimization

8min

Exploring Exciting Advancements in AI-Driven Developer Tools

3min

You might have heard a lot about code generation tools using AI, but could LLMs and generative AI make our existing code better? In this episode, we sit down with Mike from TurinTech to hear about practical code optimizations using AI “translation” of slow to fast code. We learn about their process for accomplishing this task along with impressive results when automated code optimization is run on existing open source projects.

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Featuring:

Mike Basios – Twitter, LinkedIn
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

TurinTech AI

Something missing or broken? PRs welcome!

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