AI Concepts
-
What is Retrieval Augmented Generation (RAG)? – Examples, Use Cases, No-Code RAG Tools
Retrieval Augmented Generation (RAG) enhances Large Language Models (LLMs) by providing real-time access to external data, improving response accuracy and relevance. RAG reduces hallucinations, facilitates quick updates without retraining, and supports dynamic, contextually aware applications. This approach is vital for areas requiring reliable and current information, such as customer support and finance.
-
What is Alibaba’s Qwen2.5-Max – technical features, performance benchmarks, and applications
Learn about Alibaba’s Qwen2.5-Max AI model that uses Mixture-of-Experts (MoE) architecture and outperforms DeepSeek V3 and other open-weight LLMs in key performance benchmarks.
-
Non-technical guide to Tree of Thoughts prompting technique – with 6 examples
So far, learning prompt engineering and ChatGPT has helped me cut down time in email, social media, and marketing collaterals writing. But recently, while researching an article topic, deep and repeated prompts yielded insightful responses – but they were scattered. To overcome this, I researched about prompt engineering strategies, and came across an emerging prompting…
-
When to use Generative AI vs Traditional AI – examples, limitations, and benefits
As businesses navigate the digital transformation era, the role of AI cannot be overstated. While you might have heard about AI in various forms, today’s spotlight is on Generative AI. In this blog post, you’ll discover the core differences between Generative AI and Traditional AI, understand their unique applications, and gain insights to make informed…
-
15 non-technical ChatGPT prompt engineering techniques to optimize AI prompts
In the rapidly evolving landscape of artificial intelligence, fine-tuning models to generate more accurate and relevant responses has become crucial. One of the key aspects of this fine-tuning process is prompt engineering. In this blog post, we will explore 15 non-technical techniques to optimize prompts specifically tailored for ChatGPT, a powerful language model developed by…
-
A non-technical guide on how to write a ‘prompt’ for ChatGPT, Generative AI tools, or AI models
Using Generative AI tools effectively relies heavily on writing good prompts. A well-written prompt includes defining a role, instructions, context, a final question, and presentation format. A good ChatGPT prompt could be improved by adding a role, instructions, context, and format or an example, and through a process of iteration. Constant refining is required due…
-
Chain-of thought prompting for ChatGPT – examples and tips
Learn how to get accurate responses from your language model to complex problems using chain of thought prompting technique.