Artificial Intelligence AI LLM Neural Network

AI/LLM - Artificial Intelligence

What is AI/LLM?

AI/LLM refers to artificial intelligence systems based on Large Language Models that can understand and generate human language. ChatGPT, Claude, Gemini are examples of LLMs revolutionizing business in 2025.

First LLM
2017 (Transformer)
ChatGPT launch
November 2022
GPT-4 parameters
~1.7 trillion
AI market growth
37% annually
$136B
AI market 2025
100M+
ChatGPT users
300%+
Average ROI
ai_assistant.py
# AI/LLM integration example
import openai
client = openai.OpenAI()
def analyze_customer_feedback(feedback):
response = client.chat.completions.create(
model="gpt-4",
messages=[{"role":"user",
"content":f"Analyze sentiment: {feedback}"
}]
)
return response.choices[0].message.content
AI Response:
Sentiment: Positive (8/10)
Customer satisfied with service quality
techCodeExamples.aiLlm.note1
techCodeExamples.aiLlm.note2

Advantages of AI/LLM in Business Projects

Why are artificial intelligence and large language models revolutionizing business in 2025? Here are the key fact-based benefits.

Challenges of AI/LLM – An Honest Assessment

Every technology has limitations. Here are the main challenges of AI/LLM and practical ways to mitigate them in real business projects.

Business Use Cases for AI/LLM

Practical applications of artificial intelligence and large language models in 2025, with examples from leading companies and our own projects.

Customer Service Automation

Intelligent chatbots, automated replies, sentiment analysis, ticket routing

tech.useCases.frameworks
OpenAI APIAnthropic ClaudeGoogle BardAzure OpenAIRasaBotpress
tech.useCases.realExamples

Intercom chatbots, Zendesk Answer Bot, Bank Pekao virtual assistant

Content Generation and Optimization

Automated article writing, SEO optimization, personalized content

tech.useCases.frameworks
GPT-4ClaudeJasper AICopy.aiWritesonicGrammarly Business
tech.useCases.realExamples

Associated Press automated news, Netflix content descriptions, Shopify product descriptions

Data Analysis and Interpretation

Automated trend analysis, report generation, business predictions

tech.useCases.frameworks
GPT-4 Code InterpreterClaudeDataRobotH2O.aiTableau Ask Data
tech.useCases.realExamples

McKinsey automated insights, Goldman Sachs market analysis, Netflix viewing predictions

Software Development Assistance

Automatic code generation, code review, documentation, debugging

tech.useCases.frameworks
GitHub CopilotCodeWhispererTabNineReplit GhostwriterCursor AI
tech.useCases.realExamples

GitHub Copilot generating 40% of code, Microsoft development acceleration

AI/LLM Projects – SoftwareLogic.co

Our AI solutions in production – chatbots, data analysis, process automation, NLP.

Desktop application with AI features
TimeCamp.com
Time Management SaaS

Desktop application with AI features

offers.common.challenge

Users were losing time on manual categorization of activities and projects

offers.common.solution

We created an Electron application with AI that automatically recognizes activities and categorizes projects

offers.common.impact

Automatic categorization of 90% activities, 60% less time on administration

Marketing automation for e-commerce stores
DropUI.com
Marketing Automation SaaS

Marketing automation for e-commerce stores

offers.common.challenge

E-commerce companies needed tools for marketing campaign automation and personalization

offers.common.solution

We created a platform connecting on-site marketing (pop-ups, banners) with off-site (email, sms, webpush)

offers.common.impact

40% conversion increase, campaign automation for hundreds of online stores

FAQ: AI/LLM – Frequently Asked Questions

Comprehensive answers to common questions about artificial intelligence and large language models in business.

contactCTA.title

contactCTA.description

contactCTA.response