In the world of software development, open source contributions have become a valuable currency. The act of sharing code, collaborating with peers, and contributing to open source projects offers numerous benefits for software engineers. Whether you're a
Tune Large Language Models from Human Feedback Introduction In the quest to create more natural and effective conversational AI, the Reinforcement Learning from Human Feedback (RLHF) algorithm has emerged as a crucial element. This ingenious approach combines
1. RequirementAnalysis -All key stakeholders of the project discuss the client requirements in detail and streamline them2. TestPlanning - In this phase, the test strategy is detailed as a test plan document. This includes a set of
Large language models have immense potential, but also major shortcomings. Knowledge graphs make LLMs more accurate, transparent, and explainable. ChatGPT, a form of generative AI, represents just a single manifestation of the broader concept of large language models (LLMs).
API Design Best Practices for Seamless Integration refer to a set of guidelines and principles that ensure the efficient and trouble-free integration of APIs into various software systems. These practices prioritize simplicity, consistency, and clear documentation, allowing
In the world of software development, technical prowess is undoubtedly crucial. The ability to write clean, efficient code and navigate complex algorithms is the foundation of our profession. However, software engineering is not just about lines of
Entity-Relationship Diagrams (ERDs) are important for software development for several compelling reasons: Data Modeling: ERDs are a powerful tool for modeling and representing the structure of data within a software application. They help developers understand how data
Understanding the technical flow of a software project before starting development is crucial for several reasons: Requirement Clarification: A deep understanding of the technical flow helps in clarifying and refining project requirements. It allows developers to ask
What is Vulnerability Remediation? Vulnerability remediation is the act of removing a vulnerability through patching or another process. What is the Difference Between Vulnerability Remediation and Mitigation? Mitigation is developing a strategy to minimize a threat’s impact
INTRODUCTION Artificial Intelligence (AI) is no longer a thing of the future; it’s here, and it’s transforming the labor market at an unprecedented pace. According to a recent forecast by Morgan Stanley, AI is set to impact
