Claude 3.7 Sonnet VỪA RA MẮT Sẽ Thay Đổi Công Việc Của Bạn | Làm Bạn Với AI EP 25

Key Concepts

Claude 3.7 Sonnet, Claude Code, Hybrid Reasoning, Context Window, Tokens, AI for Decision Making, Thinking Budget, Large Language Models (LLMs), API, Mission Statement Generation, AI-assisted Programming, Service Plans (Free, Pro, Team, Enterprise).

Anthropic's Claude Ecosystem

Anthropic offers three main AI models, each named after a form of art:

• Claude 3.5 Haiku: The lightest and fastest model, designed for everyday tasks. It outperforms Claude 3 Opus in some benchmarks like programming and mathematics.
• Claude 3.7 Sonnet: The newest and flagship model, a mid-range model with hybrid reasoning capabilities. It can provide quick responses or perform step-by-step reasoning.
• Claude 3 Opus: The largest model, but not currently the most advanced. An updated version is expected.

All models have a standard context window of 200,000 tokens (approximately 150,000 words or a 600-page novel).

Context Window: The amount of data an AI can remember and analyze before generating new content.

Tokens: Small units of data. For example, "Skills Bridge" can be split into three tokens: "Skill", "s", "Bridge".

Unlike Grok or ChatGPT, Claude does not have real-time internet access. It is optimized for logical reasoning, writing, programming, and complex content generation.

Claude 3.7 Sonnet: Hybrid Reasoning and Thinking Budget

Claude 3.7 Sonnet is a hybrid reasoning model, meaning it integrates quick responses and deep thought into one model. This is based on Anthropic's philosophy that reasoning capabilities should be integrated rather than separated.

Key features of Claude 3.7 Sonnet:

1. Dual Functionality: It functions as both a standard LLM and a reasoning model, allowing users to choose between quick responses and more considered answers.
2. Thinking Budget: Users can control the "thinking budget" via API, specifying the maximum number of tokens (up to 128,000) Claude can use to generate a response. This allows for balancing speed, cost, and answer quality.
3. Practical Focus: Development focused on practical tasks to help businesses and programmers solve problems efficiently.

Case Study: Mission Statement Generation

Linh tested ChatGPT, Grok, and Claude 3.7 Sonnet to generate a mission statement for Skills Bridge.

• ChatGPT and Grok: Given the company websites (skillsbridge.vn and thaivanlinh.com) to read. ChatGPT's response was jumbled and used complex language. Grok's response was brief but lacked personality.
• Claude 3.7 Sonnet: Given the information that the company focuses on training in AI skills and soft skills (no website link provided). Claude's response was simple, easy to understand, and effectively encapsulated the company's mission.

Conclusion: Claude was the best choice for writing tasks in this test.

Claude Code: AI-Assisted Programming

Claude Code is Anthropic's first automated programming tool, currently in a limited preview. It helps programmers by automating code editing, testing, and error fixing.

In initial tests, Claude Code completed tasks in a single run that would normally take over 45 minutes of manual work.

AI will not replace programmers, but it will speed up the workflow, allowing engineers to focus on creativity and solving bigger problems.

Claude Pricing Plans

Anthropic offers four service plans:

1. Free: Suitable for trying Claude on the web, iOS, or Android, with the ability to query images and documents.
2. Pro: Paid plan (USD 18-20 per month) with features like organizing documents and conversations with Projects, using Claude 3.7 Sonnet in extended thinking mode, and early access to new features.
3. Team: Plan for small teams.
4. Enterprise: Plan for large enterprises.

Prices do not include taxes and may vary by region. Visit claude.ai/upgrade for more details.

Conclusion

Claude 3.7 Sonnet and Claude Code represent a transformation in how AI assists humans in work and creativity. They offer deep reasoning, proactive work, and effective collaboration, paving the way for a future where AI expands human capabilities. However, AI is not perfect and can make mistakes. Users should use AI responsibly and always verify the AI's responses.