What is RAFT? RAG + Fine-Tuning
Learn how Retrieval-Augmented Fine-Tuning (RAFT) improves LLM accuracy, relevance, and efficiency in specialized domains.
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Blog
Trends, terminology, questions, and more — explore insights that shape tomorrow's AI.
What are Multimodal Large Language Models?
Discover how multimodal large language models (LLMs) are advancing generative AI by integrating text, images, audio, and more.
What are LLM Agents in AI?
Explore how LLM agents tackle complex problems with strategic planning, memory retention, and data analysis.
How to Implement Generative AI into Your Business: Step-by Step Guide
A step-by-step guide on implementing GenAI into your business with practical insights on objectives, training data, model selection, and more.
Enhancing AI Precision: The Art of Prompt Engineering
Explore methodologies, best practices, and essential skills for achieving precision and reliability in Gen AI through prompt engineering.
5 Reasons Countries Develop Their Own Large Language Models
Explore why nations are investing in their own Large Language Models (LLMs) and how this trend impacts data privacy, cultural relevance, and AI’s future
What is the Role of a Subject Matter Expert (SME) in AI?
Discover the essential role of Subject Matter Experts (SMEs) in AI, from data annotation to ethical oversight.
What are Golden Datasets in AI?
Discover the importance of golden datasets in AI/ LLM development for accuracy, bias mitigation, and performance evaluation.
What is Data Labeling for Machine Learning?
Data labeling teaches machines to see, hear, and understand. Train AI for object detection, image classification, and more.