Top NLP Trends to Look After in 2025If you are active in the AI space, then you must be familiar with NLP, which stands for Natural Language Processing. NLP is changing how…Feb 27Feb 27
What are the Top Multimodal AI Applications and Use Cases?Multimodal AI brings together knowledge from varying resources like text, pictures, audio, and video, thus being able to provide richer and…Feb 27Feb 27
What is RAFT? RAG + Fine-TuningIn simple terms, retrieval-augmented fine-tuning, or RAFT, is an advanced AI technique in which retrieval-augmented generation is joined…Feb 25Feb 25
What are Large Multimodal Models (LMMs)?Large Multimodal Models (LMMs) are a revolution in artificial intelligence (AI). Unlike traditional AI models that operate within a single…Feb 25Feb 25
Optimizing RAG with Better Data and PromptsRAG (Retrieval-Augmented Generation) is a recent way to enhance LLMs in a highly effective way, combining generative power and real-time…Feb 25Feb 25
RAG vs. Fine-Tuning: Which One Suits Your LLM?Large Language Models (LLMs) such as GPT-4 and Llama 3 have affected the AI landscape and performed wonders ranging from customer service…Feb 24Feb 24
What Are Multimodal Large Language Models? Applications, Challenges, and How They WorkImagine you have an x-ray report and you need to understand what injuries you have. One option is you can visit a doctor which ideally you…Feb 24Feb 24
Golden Datasets: The Foundation of Reliable AI SystemsThe golden datasets in AI refer to the purest and highest quality datasets that you can get to train your AI system. Being the highest…Feb 24Feb 24
Everything About Conversational AI: How it’s works, Example, Benefits and ChallengesWhat is Conversational AI?Jan 10Jan 10
What is NLP? How it Works, Benefits, Challenges, ExamplesWhat is Natural Language Processing (NLP)?Jan 10Jan 10