Post navigation
Similar Posts
The Art and Science of Fine-Tuning LLMs for Domain-Specific Excellence
ByRicardoKey advancements include in-context learning, which enables coherent text generation from prompts, and reinforcement learning from human feedback (RLHF), which fine-tunes models based on human responses. Techniques like prompt engineering have also enhanced LLM performance in tasks such as question answering and conversational interactions, marking a significant leap in natural language processing. Pre-trained language models…
Optimizing LLM-based trip planning
ByRicardoAlgorithms & Theory
Top Agentic AI Training Data Companies 2026
ByRicardoAgentic AI is outlined as a system of AI brokers. This system collaborates to finish complicated duties with minimal human intervention. Data is assessed, choices are noticed, and actions are sequentially deliberate, executed, and carried out autonomously. LLMs (Large Language Models) are built-in with modules for decision-making, reminiscence, workflow management, and planning. Consequently, multistage issues…
How to Annotate Radiology Data for an AI Model
ByRicardoCorrectly identifying when a medical finding is absent rather than present is crucial when working on this specific task (for example, extracting labels from radiology reports using CV) about the presence or absence of prespecified pathologies. This article aims to highlight radiology data annotation from the perspective of a data annotation company, examining what goes…
