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Practical AI: Machine Learning, Data Science, LLM
Automating code optimization with LLMs
Aug 29, 2023
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.
45:01
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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.
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