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Blocks are reusable components that define specific behaviors and capabilities for AI assistants, from custom instructions to advanced model configurations

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deepseek-r1 14b

DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks

Models

Claude 3.5 Haiku

Claude 3.5 Haiku efficiently processes and categorizes information, making it effective for rapid data extraction and automated labeling tasks.

Models

Meta-AI team spirit

A meta-artificial intelligence infusion

Prompts

t3 App Router Repo Structure

Repo structure for a t3 Stack Next.js App Router

Rules

llama-3.2-1b-instruct

Llama-3.2-1B-Instruct is Meta's compact multilingual model at 1B parameters. This instruction-tuned version balances efficiency with generative capabilities across multiple languages.

Models

qwen2.5-coder 7b

The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing

Models

Llama-3-70B-Instruct is Meta's instruction-tuned model at 70B parameters, trained on 15T tokens. This decoder-only architecture shows competitive dialogue performance against leading closed-source models.

Models

Kevin model

my first assistant

Models

Deepseek R1 - API

Models

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