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AI, Expert Developers, and Open Source Dependencies

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Manage episode 412208667 series 2359874
Content provided by QuantLabs.net. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by QuantLabs.net or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this podcast episode, Brian from Quantlabs.net shares his opinions on managing open source dependencies and software upgrades, with a focus on the amalgamation of AI and expert developers. He highlights the significant difficulties these tasks can pose, but also indicates potential solutions - notably artificial intelligence (AI) co-generation techniques.

Further, Brian explores the concept of code generation, and its effectiveness in completing these arduous undertakings. He puts to the test various options regarding AI, including Google Gemini and Microsoft Copilot. He underscores the key aspect of how effective the AI model depends on how prompts are formulated, commonly referred to as "prompt engineering". He showcases the power and convenience of such AI models through concrete examples, notably an arbitrage script for gold assets.

The conversation also covers the accessibility of different tools, their advantages, and potential drawbacks. Particularly, the constraints and complexities of open source software such as Lama 2 and Startcoder 2 are examined. Lastly, Brian opens the door to further discussions on tools for managing software upgrades and dependencies on his Discord channel and his Sub Stack.

Join our Discord for quant trading and programming

news https://discord.gg/k29hRUXdk2

GET OUR FREE TRADING TECH BOOKS HERE BOOKS2 – QUANTLABS.NET

Know what I trade on my Substack Quantlabs Substack | Substack

See more here Trader bryandowningqln — Trading Ideas & Charts — TradingView

  continue reading

148 episodes

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iconShare
 
Manage episode 412208667 series 2359874
Content provided by QuantLabs.net. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by QuantLabs.net or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this podcast episode, Brian from Quantlabs.net shares his opinions on managing open source dependencies and software upgrades, with a focus on the amalgamation of AI and expert developers. He highlights the significant difficulties these tasks can pose, but also indicates potential solutions - notably artificial intelligence (AI) co-generation techniques.

Further, Brian explores the concept of code generation, and its effectiveness in completing these arduous undertakings. He puts to the test various options regarding AI, including Google Gemini and Microsoft Copilot. He underscores the key aspect of how effective the AI model depends on how prompts are formulated, commonly referred to as "prompt engineering". He showcases the power and convenience of such AI models through concrete examples, notably an arbitrage script for gold assets.

The conversation also covers the accessibility of different tools, their advantages, and potential drawbacks. Particularly, the constraints and complexities of open source software such as Lama 2 and Startcoder 2 are examined. Lastly, Brian opens the door to further discussions on tools for managing software upgrades and dependencies on his Discord channel and his Sub Stack.

Join our Discord for quant trading and programming

news https://discord.gg/k29hRUXdk2

GET OUR FREE TRADING TECH BOOKS HERE BOOKS2 – QUANTLABS.NET

Know what I trade on my Substack Quantlabs Substack | Substack

See more here Trader bryandowningqln — Trading Ideas & Charts — TradingView

  continue reading

148 episodes

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