Key insights

• ⚙️ DeepSeek V3 is the First open-source model in AI history that surpasses closed-source models like GPD 40 and CLA 3.5 Sonet
• 💰 It is cost-effective with a price of 0.014 per 1 million tokens
• 🔬 Uses a mixture of expert model architecture, consisting of smaller specialized models for different aspects of tasks
• 🇨🇳 Developed by a Chinese AI company, DeepSeek, which has been open-sourcing AI models for the past year and a half
• 🏆 Outperforms competition in benchmarks such as mlu, gpq Diamond, M 500, Amy Benchmark, code forces Benchmark, and swe bench verified
• 🔒 Potential data privacy concerns due to government oversight and hosting constraints for CLA 3.5 Sonet new model
• 🌐 Open-source nature of the model and research papers is positive for decentralizing AI
• 📦 Discounted API calls until February 8th, Python code for DeepSeek in the documentation, technical report available on GitHub

Q&A

• What are the steps involved in configuring the test environment for DeepSeek?

  The steps involve configuring the test environment, running Python files, implementing token streaming with Cursor, and using the DeepSeek model inside Cursor.

• What does the video demonstrate about integrating the Deep Seek Chat model in Cursor?

  The video demonstrates how to integrate the Deep Seek Chat model in Cursor to write code and save output in a text file. It shows the successful integration and testing of the model.

• What is the process to use Vectal on the Deep Seek platform?

  To use Vectal, you need to top up $2 on the Deep Seek platform to obtain the API key, use PayPal for the payment method, copy and save the API key securely, and install the OpenAI package. Vectal provides additional context for completing tasks faster and is beneficial for entrepreneurs and business owners.

• How can I avail the discounted rate for API calls?

  The discounted rate for API calls is available until February 8th. The Python code for DeepSeek can be found in the documentation, and it uses the open AI SDK, making the API call familiar.

• Where can the technical report for DeepSeek be found?

  The technical report for DeepSeek is available on GitHub, offering valuable insights into building an open-source AI model.

• What are the concerns related to CLA 3.5 Sonet?

  The CLA 3.5 Sonet model performs well on benchmarks, but there are potential data privacy concerns due to government oversight and hosting constraints. However, its open-source nature and research papers are seen as positive for decentralizing AI.

• How does DeepSeek V3 compare to other models?

  It is the first open-source model in AI history to surpass closed-source models like GPD 40 and CLA 3.5 Sonet. It is also cost-effective, priced at 0.014 per 1 million tokens, and uses a mixture of expert model architecture. It outperforms competition in benchmarks such as mlu, gpq Diamond, M 500, Amy Benchmark, code forces Benchmark, and swe bench verified.

• What is DeepSeek V3?

  DeepSeek V3 is an open-source AI model developed by a Chinese AI company, DeepSeek. It outperforms closed-source models, is cost-effective, and uses a mixture of expert model architecture. It has surpassed the competition in various benchmarks.

• 00:00 DeepSeek V3 is an open-source AI model that outperforms closed-source models, is cost-effective, and uses a mixture of expert model architecture. It is developed by a Chinese AI company, DeepSeek, and surpasses the competition in various benchmarks.
• 02:34 The CLA 3.5 Sonet new model performs well on benchmarks, but it comes with potential data privacy concerns due to government oversight and hosting constraints. However, the open-source nature of the model and research papers is seen as positive for decentralizing AI. The segment then transitions to setting up a project in Cursor and logging into the Deep Seek platform for further development.
• 05:01 A discounted rate for API calls is available until February 8th. The Python code for DeepSeek can be found in the documentation. DeepSeek uses the open AI SDK, making the API call familiar. The technical report for DeepSeek is available on GitHub, offering valuable insights into building an open source AI model.
• 07:11 To use Vectal, you need to top up $2 on Deep Seek platform, obtain the API key, and install the OpenAI package. Vectal provides additional context for tasks and is beneficial for entrepreneurs and business owners.
• 09:27 Configuring the test environment, running Python file, implementing token streaming with Cursor, and using DeepSeek model inside Cursor.
• 12:02 The video demonstrates how to integrate the Deep Seek Chat model in Cursor to write code and save output in a text file. It shows the successful integration and testing of the model.