Application

The ‘Big 5’ domestic AI services are ChatGPT, Adot, Lutton, Zeta, and Perplexity.

ChatGPT, Lutton, Adot, Zeta, and Perplexity have solidified their positions as essentially the most widely used artificial intelligence (AI) apps in Korea. Following Google's '2024 Trending AI Search Terms' rating, it also ranked high...

Autonomous Agents with AgentOps: Observability, Traceability, and Beyond in your AI Application

The expansion of autonomous agents by foundation models (FMs) like Large Language Models (LLMs) has reform how we solve complex, multi-step problems. These agents perform tasks starting from customer support to software engineering, navigating intricate...

Naver declares full-scale application of ‘AI service’ in 2025… “The goal is to include AI into all services”

Naver has declared that it'll make 2025 the ‘12 months of AI Service Application’ based by itself content and artificial intelligence (AI) technology. Naver (CEO Choi Soo-yeon) held the 'Dan 24' conference at COEX in...

Constructing a Multilingual Multi-Agent Chat Application Using LangGraph — Part I

The backbone of this application are the agents and their interactions. Overall, we had two several types of agents :User Agents: Agents attached to every user. Primarily tasked with translating incoming messages into the...

The Math Behind Keras 3 Optimizers: Deep Understanding and Application

It is a bit different from what the books say.Optimizers are an important a part of everyone working in machine learning.Everyone knows optimizers determine how the model will converge the loss function during gradient...

In Japan, agricultural solar energy generation has increased 14 times in 8 years… Application examples are appearing one after one other.

In Japan, the movement to mix sustainable agriculture and energy production through agricultural solar energy appears to be actively underway. Patagonia Provisions, well-known for its fashion and outdoor clothing, announced on the thirteenth that it...

A beginner’s guide to constructing a Retrieval Augmented Generation (RAG) application from scratch

Learn critical knowledge for constructing AI apps, in plain englishRetrieval Augmented Generation, or RAG, is all the craze nowadays since it introduces some serious capabilities to large language models like OpenAI’s GPT-4 — and...

Designing and Deploying a Machine Learning Python Application (Part 2)

As we haven’t quite solved the important thing problems, let’s dig in only a bit further before entering into the low-level nitty-gritty. As stated by Heroku:Web applications that process incoming HTTP requests concurrently make...

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