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ai [2025/06/27 15:20] – skipidarai [2025/07/20 05:05] (current) – skipidar
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 What is the best way to learn Artificial Intelligence for a beginner What is the best way to learn Artificial Intelligence for a beginner
  
-https://qr.ae/pKDW7R+ 
 +{{youtube>FzLABAppJfM?}}
  
 {{https://s3.eu-central-1.amazonaws.com/alf-digital-wiki-pics/sharex/Jsh6B5GPnt.png}} {{https://s3.eu-central-1.amazonaws.com/alf-digital-wiki-pics/sharex/Jsh6B5GPnt.png}}
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-Here's the data from the image in a list format, categorized by the type of task and then by the AI model: +====== AI Model Performance Comparison ====== 
-1. Agentic Coding (SWE-bench Verified) + 
-* Claude Opus 4: 72.5% / 79.4% +This page presents a comparison of various AI models across different task categories, based on the provided data. 
-* Claude Sonnet 4: 72.7% / 80.2% + 
-* Claude Sonnet 3.7: 62.3% / 70.3% +===== Agentic Coding (SWE-bench Verified) ===== 
-* OpenAI o3: 69.1% +^ Model           ^ Score 1 ^ Score 2 ^ 
-* OpenAI GPT-4.1: 54.6% +| Claude Opus 4   | 72.5%   | 79.4%   | 
-* Gemini 2.5 Pro (Preview 05-06): 63.2% +| Claude Sonnet 4 | 72.7%   | 80.2%   | 
-2. Agentic Terminal Coding (terminal-bench) +| Claude Sonnet 3.7 | 62.3%   | 70.3%   | 
-* Claude Opus 4: 43.2% / 50.0% +| OpenAI o3       | 69.1%   |         | 
-* Claude Sonnet 4: 35.5% / 41.3% +| OpenAI GPT-4.1  | 54.6%   |         | 
-* Claude Sonnet 3.7: 35.2% +| Gemini 2.5 Pro (Preview 05-06) | 63.2% |         | 
-* OpenAI o3: 30.2% + 
-* OpenAI GPT-4.1: 30.3% +===== Agentic Terminal Coding (terminal-bench) ===== 
-* Gemini 2.5 Pro (Preview 05-06): 25.3% +^ Model           ^ Score 1 ^ Score 2 ^ 
-3. Graduate-level Reasoning (GPQA Diamond) +| Claude Opus 4   | 43.2%   | 50.0%   | 
-* Claude Opus 4: 79.6% / 83.3% +| Claude Sonnet 4 | 35.5%   | 41.3%   | 
-* Claude Sonnet 4: 75.4% / 83.8% +| Claude Sonnet 3.7 | 35.2%   |         | 
-* Claude Sonnet 3.7: 78.2% +| OpenAI o3       | 30.2%   |         | 
-* OpenAI o3: 83.3% +| OpenAI GPT-4.1  | 30.3%   |         | 
-* OpenAI GPT-4.1: 66.3% +| Gemini 2.5 Pro (Preview 05-06) | 25.3% |         | 
-* Gemini 2.5 Pro (Preview 05-06): 83.0% + 
-4. Agentic Tool Use (TAU-bench) +===== Graduate-level Reasoning (GPQA Diamond) ===== 
-* Retail: +^ Model           ^ Score 1 ^ Score 2 ^ 
-* Claude Opus 4: 81.4% +| Claude Opus 4   | 79.6%   | 83.3%   | 
-* Claude Sonnet 4: 80.5% +| Claude Sonnet 4 | 75.4%   | 83.8%   | 
-* Claude Sonnet 3.7: 81.2% +| Claude Sonnet 3.7 | 78.2%   |         | 
-* OpenAI o3: 70.4% +| OpenAI o3       | 83.3%   |         | 
-* OpenAI GPT-4.1: 68.0% +| OpenAI GPT-4.1  | 66.3%   |         | 
-* Airline: +| Gemini 2.5 Pro (Preview 05-06) | 83.0% |         | 
-* Claude Opus 4: 59.6% + 
-* Claude Sonnet 4: 60.0% +===== Agentic Tool Use (TAU-bench) ===== 
-* Claude Sonnet 3.7: 58.4% +==== Retail ==== 
-* OpenAI o3: 52.0% +^ Model           ^ Score   ^ 
-* OpenAI GPT-4.1: 49.4% +| Claude Opus 4   | 81.4%   | 
-* Gemini 2.5 Pro (Preview 05-06): (No data provided) +| Claude Sonnet 4 | 80.5%   | 
-5. Multilingual Q&A (MMMUA) +| Claude Sonnet 3.7 | 81.2%   | 
-* Claude Opus 4: 88.8% +| OpenAI o3       | 70.4%   | 
-* Claude Sonnet 4: 86.5% +| OpenAI GPT-4.1  | 68.0%   | 
-* Claude Sonnet 3.7: 85.9% +| Gemini 2.5 Pro (Preview 05-06) | N/A     | 
-* OpenAI o3: 88.8% +==== Airline ==== 
-* OpenAI GPT-4.1: 83.7% +^ Model           ^ Score   ^ 
-* Gemini 2.5 Pro (Preview 05-06): (No data provided) +| Claude Opus 4   | 59.6%   | 
-6. Visual Reasoning (MMMU (validation)) +| Claude Sonnet 4 | 60.0%   | 
-* Claude Opus 4: 76.5% +| Claude Sonnet 3.7 | 58.4%   | 
-* Claude Sonnet 4: 74.4% +| OpenAI o3       | 52.0%   | 
-* Claude Sonnet 3.7: 75.0% +| OpenAI GPT-4.1 
-* OpenAI o3: 82.9% + 
-* OpenAI GPT-4.1: 74.8% + 
-* Gemini 2.5 Pro (Preview 05-06): 79.6% +====== Local deployment ====== 
-7. High School Math Competition (AIME 2024) + 
-* Claude Opus 4: 75.5% / 90.0% +Running AI Models Locally with Docker and Spring AI 
-* Claude Sonnet 4: 70.5% / 85.0% +Play 
-* Claude Sonnet 3.7: 54.8% +https://www.danvega.dev/blog/docker-model-runner 
-* OpenAI o3: 88.9% + 
-* OpenAI GPT-4.1: (No data provided) + 
-* Gemini 2.5 Pro (Preview 05-06): 83.0%+ 
 +=== AI Gemma 3 === 
 + 
 +https://habr.com/ru/articles/896290/ 
 + 
 +https://spring.io/blog/2025/04/10/spring-ai-docker-model-runner 
 + 
 + 
 +=== Gemii-cli === 
 + 
 +https://www.youtube.com/watch?v=xqvprnPocHs 
 + 
 +https://github.com/google-gemini/gemini-cli 
 + 
 +<sxh shell> 
 +winget install -e --id OpenJS.NodeJS 
 + 
 +npm install -g @google/gemini-cli 
 + 
 +npm upgrade -g @google/gemini-cli 
 + 
 +# start 
 +gemini 
 +</sxh> 
 + 
 + 
 +=== Docker Model Runner === 
 + 
 +https://habr.com/ru/articles/898778/ 
 + 
 + 
 +=== Spring AI === 
 + 
 +https://spring.io/projects/spring-ai 
 + 
 + 
 + 
 +===== Interfacing with the AI mode ===== 
 + 
 +=== MCP - Model Context Protocol === 
 + 
 + 
 +https://habr.com/ru/articles/893482/ 
 + 
 + 
 +{{https://s3.eu-central-1.amazonaws.com/alf-digital-wiki-pics/sharex/QgOdPGCjWV.png}} 
 + 
 + 
 + 
 + 
 + 
 + 
 +{{youtube>KC8HT0eWSGk?}} 
  
ai.1751037628.txt.gz · Last modified: by skipidar