LLMS are not Knowledge Models! Watch out for AI hallucination!
The implications of AI hallucination on society, including misinformation and privacy concerns. Learn about strategies for addressing this complex issue.
Comparing K-Explorer and Google Duet-AI
Exploring the functionalities of K-Explorer and Google Duet-AI, two AI-powered coding assistants designed to enhance the developer's experience.
What’s Apple Vision? Inaugural Impact and AI Potential
What is Apple's vision? With the revolutionary Apple Vision Pro, the first new product since 2015, as we delve into its features, implications, and potential for AI integration
Will AI replace humans? No, but …
Unveiling the Role of AI Code Assistants and How They Complement Human Developers
Demystifying ChatGPT: Expert Strategies for Streamlining Code Generation
Unlock the coding prowess of OpenAI's ChatGPT with these proven strategies shared by computer science experts. Learn the art of precise prompts to enhance coding outcomes effortlessly.
Top 10 AI Code Assistants for 2024
The coding landscape is evolving, thanks to the surge in AI-powered assistants. Discover the top 10 code assistants for 2024 that are reshaping the way developers code.
Google Cloud Empowers Developers with Duet AI: A Game-Changer in AI-Assisted Coding
Explore the revolutionary Duet AI for Developers launched by Google Cloud, a powerful coding assistant that leverages generative artificial intelligence. From seamless integration with popular IDEs to advanced
The problem with developers’ onboarding process… it’s outdated!
I speak about the discovery of the persistent challenges faced by developers during onboarding and how K.Explorer, a groundbreaking code assistant, transcends the limitations of conventional tools, providing
Elevating Code Generation: The Role of Prompt Engineering in Today’s AI Tools
Explore the subtle art of prompt engineering and its impact on AI tools, unveiling a realm where developers harness the power of language models for efficient and high-quality
MIT Researchers Develop Automated System for Human-AI Collaboration Onboarding
MIT and MIT-IBM Watson AI Lab researchers create a fully automated onboarding system to train users on when to trust AI models, improving accuracy by 5%. The system,