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Code Along ↗Understanding LLMs for Code Generation
Explore the role of LLMs for coding tasks, focusing on hands-on examples that demonstrate effective prompt engineering techniques to optimize code generation.
Andrea Valenzuela, Josep Ferrer
สร้างบัญชีฟรีของคุณ
ฝึกฝนและตรวจสอบความก้าวหน้าของคุณ
ดำเนินการต่อด้วย Googleเมื่อดำเนินการต่อ ถือว่าคุณยอมรับ ข้อกำหนดการใช้งานและ นโยบายความเป็นส่วนตัว และยอมรับว่าข้อมูลของคุณจะถูกจัดเก็บในสหรัฐอเมริกาที่เกี่ยวข้อง

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Over the past year, Large Language Models (LLMs) have showcased remarkable natural language capabilities, setting new standards in Natural Language Processing and fueling the development of LLM-powered applications. As interest in leveraging LLMs for coding tasks continues to grow, companies are pushing the boundaries by transforming natural language into code generation, resulting in products like GitHub Copilot.
In this session, Andrea and Josep will explore the role of LLMs for coding tasks, focusing on hands-on examples that demonstrate effective prompt engineering techniques to optimize code generation. Whether you're interested in understanding how models work for coding or looking for ways to streamline your coding workflow, this session will provide with the insights and practical skills to fully utilize the potential of LLMs for coding.
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