June 4, 2024
In the dynamic landscape of AI, contrastive learning stands out as a revolutionary technique poised to redefine the capabilities of AI models in understanding and interacting with complex data sets. Unlike conventional neural network architectures, this self-supervised learning strategy offers a profound transformation in the AI sector, setting a new precedent for technological advancement in […]
June 3, 2024
large language model 1. Introduction 1.1. What is a Large Language Model? A Large Language Model (LLM) is an AI model that learns from vast amounts of text data to understand and generate human-like language. A notable examples are OpenAI’s GPT-4, Google’s Gemini, and Meta’s LLaMa-3. This blog post will explore the revolutionary capabilities and […]
May 29, 2024
Retrieval Augmented Generation (RAG) is a cutting-edge natural language processing (NLP) technology that combines the strengths of retrieval-based models and generation-based models to enable more accurate and enriched text generation. Developed by OpenAI and Google Research, RAG presents a new paradigm in text generation, driving innovation across various application domains. How RAG Works RAG consists […]
May 27, 2024
AI has been evolving from computers to smartphones, with each leap bringing us closer to smarter, more efficient technology. “On-device AI” is behind all this evolution. But what exactly is on-device AI, and why is it becoming so important? Understanding On-device AI On-device AI refers to the capability of edge devices like smartphones, smartwatches, and […]
May 24, 2024
Introduction Game development is a complex process that combines technological innovation and creativity. In recent years, synthetic data has played an important role in this industry, and the synthetic data industry is expected to grow even further. Synthetic data is virtual data generated based on real data. By using synthetic data generation technology, it is […]
May 22, 2024
In the field of workplace automation, synergy between generative AI and AI agent can be achieved. For example, businesses utilize AI agent to automate business processes and employ generative AI to automatically generate and manage reports or documents. This not only increases operational efficiency but also saves manpower and time. The scenario where generative AI and AI agents are used together for workplace automation in businesses is as follows
May 20, 2024
In the fields of cognitive science and Artificial Intelligence, the concept of “Chain of Thought” has become a powerful technique for improving problem-solving and creativity. This method involves a structured way of thinking where each step logically follows the previous one, creating a clear line of reasoning. By using this approach, people can break down […]