Telegram Group & Telegram Channel
📚 9 AI-гайдов от OpenAI, Google и Anthropic

🚀 Всё — про агентов, промпты, бизнес и реальные use-case’ы. Сохрани себе!

1. AI в бизнесе (OpenAI)
📄 https://cdn.openai.com/business-guides-and-resources/ai-in-the-enterprise.pdf

2. Практика: как строить агентов (OpenAI)
📄 https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf

3. Prompting 101 (Google)
📄 https://services.google.com/fh/files/misc/gemini-for-google-workspace-prompting-guide-101.pdf

4. Как масштабировать AI use-case’ы (OpenAI)
📄 https://cdn.openai.com/business-guides-and-resources/identifying-and-scaling-ai-use-cases.pdf

5. Building Effective Agents (Anthropic)
🔗 https://www.anthropic.com/engineering/building-effective-agents

6. Prompt Engineering (Anthropic)
🔗 https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview

7. Agents Companion (whitepaper)
📄 https://kaggle.com/whitepaper-agent-companion

8. 601 AI Use Cases (Google)
📄 https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders

9. Prompt Engineering от Google
📄 https://kaggle.com/whitepaper-prompt-engineering

Лучшие практики от лидеров индустрии.



tg-me.com/machinelearning_interview/1846
Create:
Last Update:

📚 9 AI-гайдов от OpenAI, Google и Anthropic

🚀 Всё — про агентов, промпты, бизнес и реальные use-case’ы. Сохрани себе!

1. AI в бизнесе (OpenAI)
📄 https://cdn.openai.com/business-guides-and-resources/ai-in-the-enterprise.pdf

2. Практика: как строить агентов (OpenAI)
📄 https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf

3. Prompting 101 (Google)
📄 https://services.google.com/fh/files/misc/gemini-for-google-workspace-prompting-guide-101.pdf

4. Как масштабировать AI use-case’ы (OpenAI)
📄 https://cdn.openai.com/business-guides-and-resources/identifying-and-scaling-ai-use-cases.pdf

5. Building Effective Agents (Anthropic)
🔗 https://www.anthropic.com/engineering/building-effective-agents

6. Prompt Engineering (Anthropic)
🔗 https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview

7. Agents Companion (whitepaper)
📄 https://kaggle.com/whitepaper-agent-companion

8. 601 AI Use Cases (Google)
📄 https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders

9. Prompt Engineering от Google
📄 https://kaggle.com/whitepaper-prompt-engineering

Лучшие практики от лидеров индустрии.

BY Machine learning Interview




Share with your friend now:
tg-me.com/machinelearning_interview/1846

View MORE
Open in Telegram


Machine learning Interview Telegram | DID YOU KNOW?

Date: |

How Does Telegram Make Money?

Telegram is a free app and runs on donations. According to a blog on the telegram: We believe in fast and secure messaging that is also 100% free. Pavel Durov, who shares our vision, supplied Telegram with a generous donation, so we have quite enough money for the time being. If Telegram runs out, we will introduce non-essential paid options to support the infrastructure and finance developer salaries. But making profits will never be an end-goal for Telegram.

What is Telegram?

Telegram’s stand out feature is its encryption scheme that keeps messages and media secure in transit. The scheme is known as MTProto and is based on 256-bit AES encryption, RSA encryption, and Diffie-Hellman key exchange. The result of this complicated and technical-sounding jargon? A messaging service that claims to keep your data safe.Why do we say claims? When dealing with security, you always want to leave room for scrutiny, and a few cryptography experts have criticized the system. Overall, any level of encryption is better than none, but a level of discretion should always be observed with any online connected system, even Telegram.

Machine learning Interview from ar


Telegram Machine learning Interview
FROM USA