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Using LLMs to Generate Source Code: Part 2
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This episode discusses improving code generation with LLMs by dynamically extracting functions and context, using techniques like Python's inspect modules and JavaScript's toString. The goal is to produce code that integrates well with existing projects, enhancing customization and practicality.
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Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.
Check out PromptDesk.ai for an open-source prompt management tool.
Check out Brad’s AI Consultancy at bradleyarsenault.me
Add Justin Macorin and Bradley Arsenault on LinkedIn.
Please fill out our listener survey here to help us create a better podcast: https://docs.google.com/forms/d/e/1FAIpQLSfNjWlWyg8zROYmGX745a56AtagX_7cS16jyhjV2u_ebgc-tw/viewform?usp=sf_link
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52 episodes
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on January 04, 2025 16:10 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 400849339 series 3519364
This episode discusses improving code generation with LLMs by dynamically extracting functions and context, using techniques like Python's inspect modules and JavaScript's toString. The goal is to produce code that integrates well with existing projects, enhancing customization and practicality.
—
Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.
Check out PromptDesk.ai for an open-source prompt management tool.
Check out Brad’s AI Consultancy at bradleyarsenault.me
Add Justin Macorin and Bradley Arsenault on LinkedIn.
Please fill out our listener survey here to help us create a better podcast: https://docs.google.com/forms/d/e/1FAIpQLSfNjWlWyg8zROYmGX745a56AtagX_7cS16jyhjV2u_ebgc-tw/viewform?usp=sf_link
Hosted by Ausha. See ausha.co/privacy-policy for more information.
52 episodes
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