Internship Insights: Enhancing Code Generation with LLMs

Related lectures (27)

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Explores the role of a digital consultant in developing innovative applications.

Explores software engineering concepts, emphasizing the significance of tests and clear specifications in ensuring software correctness.

Covers algorithmic thinking, Python programming, numerical methods, and essential computing concepts for scientific computing.

Explores solutions for business IT alignment through enterprise and service-oriented architecture.

Explores the shift from software testing to formal specifications, highlighting the significance of clear requirements in software engineering.

Explores the software development life cycle, methodologies, tech choices, agile practices, and common tech industry terms.

Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.

Covers business/IT alignment, requirements management, and an introduction to Robotic Process Automation.

Covers solutions for aligning business and IT through information modeling, RFP/RFT, and low-code platforms.

Covers the 'V-Model' of Systems Engineering, emphasizing good requirements, system architecture, concept generation, and concept selection.