Kimi k1.5

Kimi k1.5 multimodal language model

Introduction

Kimi k1.5 is a multi-modal language model developed by MoonshotAI. It significantly improves the model's performance in complex reasoning tasks through reinforcement learning and long context expansion techniques. The model has reached industry-leading levels in multiple benchmarks and performed well in mathematical reasoning tasks.

Main advantages

Efficient training framework

Powerful multi-modal reasoning capabilities

Support for long contexts

Applicable people

Kimi k1.5 is suitable for developers, researchers and educators who require complex reasoning and logical analysis. It helps them improve efficiency and accuracy in areas such as programming, math problem solving, and code generation.

Usage scenarios

In mathematics competitions, Kimi k1.5 can quickly generate complex mathematical reasoning processes and give answers.

Developers can use Kimi k1.5 to generate high-quality code snippets and improve programming efficiency.

Educators can use the model to aid instruction and help students understand complex mathematical and programming problems.

Product features

Support long context expansion to improve reasoning capabilities

Multimodal data training, supporting text and visual reasoning

Optimize model performance through reinforcement learning

Provides a conversion method from long chain reasoning to short chain reasoning

Supports real-time code generation and programming assistance

Tutorial

1. Visit Kimi OpenPlatform and apply for a test account.

2. Initialize the client using the provided API key.

3. Construct a request message and specify the model as 'kimi-k1.5-preview'.

4. Call the model interface and set parameters (such as temperature, maximum number of tokens, etc.).

5. Receive the results returned by the model and process them as needed.