Friday, February 7, 2025

DeepSeek R1 Blog Use Cases: How To Get Started On Watsonx

DeepSeek R1 Blog

IBM present their first-generation DeepSeek-R1-Zero and DeepSeek-R1 reasoning models. DeepSeek-R1-Zero, a model trained using large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a prerequisite, shown remarkable reasoning capability. DeepSeek-R1-Zero spontaneously developed a number of strong and intriguing reasoning behaviours using RL. However, issues like language mixing, poor readability, and unending repetition plague DeepSeek-R1-Zero.

In order to overcome these problems and improve reasoning performance even more, IBM present DeepSeek-R1, which uses cold-start data prior to RL. In arithmetic, programming, and reasoning problems, DeepSeek-R1 performs on par with OpenAI-o1. IBM have made DeepSeek-R1-Zero, DeepSeek-R1, and six dense models derived from DeepSeek-R1 based on Llama and Qwen publicly available to assist the research community. DeepSeek-R1-Distill-Qwen-32B achieves new state-of-the-art performances for dense models, surpassing OpenAI-o1-mini on many benchmarks.

What is DeepSeek-R1?

One of the most potent open-source reasoning models, DeepSeek-R1 is the reasoning LLM from the Chinese firm DeepSeek. It can compete with OpenAI’s o1 family of models. In a significant departure from conventional approaches to LLM training, DeepSeek-R1, which is available under the MIT License, was principally built by applying reinforcement learning (RL) to the underlying model.

Using the data produced by the considerably bigger R1 model, DeepSeek also employed a technique known as distillation to fine-tune many Llama and Qwen models. There are two methods for users to get DeepSeek distilled models on Watsonx.ai:

  • Through the Deploy on Demand catalogue, IBM provides both Llama distilled variations within Watsonx.ai, enabling users to set up a dedicated instance for safe inferencing.
  • Other DeepSeek-R1 model variations, such as the Qwen distilled models, can also be imported by users using the Custom Foundation Models import capability.

What kind of use cases does DeepSeek-R1 enable?

A cutting-edge Artificial Intelligence model known for its remarkable reasoning powers, DeepSeek-R1 allows for a broad range of applications in several industries:

Organising

DeepSeek-R1 is perfect for enabling agentic applications because of its emphasis on chain-of-thought logic, which enables it to complete tasks requiring sequential thinking.

Coding

When it comes to coding activities, DeepSeek-R1 is excellent, offering code creation, debugging support, and optimisation recommendations.

Solving Mathematical Problems

The model’s powerful reasoning powers enable it to solve challenging mathematical issues, which is advantageous for scientific calculations, engineering, and scholarly study.

With IBM Watsonx.ai, developers may create AI solutions by utilising established models such as DeepSeek-R1 and solution features that:

  • Test and assess model results using a user interface that is simple to understand.
  • Create a RAG pipeline by embedding models and linking to several vector databases.
  • Utilise well-known frameworks and connectors such as CrewAI, LangChain, and others.

Why utilise Watsonx.ai’s DeepSeek Distilled Models?

From complete deployment environment flexibility to user-friendly procedures for agent building, fine-tuning, RAG, quick engineering, and interaction with corporate systems, IBM Watsonx.ai allows clients to personalise the adoption of open-source models such as DeepSeek-R1. Watsonx.ai has built-in guardrails that users may use to secure their apps.

Naturally, IBM’s clients’ top concerns are data security and AI governance. When these models are installed on Watsonx.ai, they become dedicated instances in addition to guardrails, meaning that no data is shared outside of the platform. Additionally, your Artificial Intelligence will be accountable, transparent, and explicable during its whole lifespan with a smooth interface with IBM Watsonx.governance, a potent governance, risk, and compliance (GRC) toolkit.

How to begin using IBM’s DeepSeek Watsonx.ai

As part of its dedication to open source AI innovation, IBM supports the distilled variations of DeepSeek-R1. The Deploy on Demand catalogue on IBM Watsonx.ai offers both DeepSeek Llama distilled models, which can be installed on a dedicated GPU on an hourly basis.

IBM hope to promote a culture of cooperation and knowledge exchange by giving users access to the best-in-class open models in Watsonx.ai, including both third-party and IBM Granite.

Drakshi
Drakshi
Since June 2023, Drakshi has been writing articles of Artificial Intelligence for govindhtech. She was a postgraduate in business administration. She was an enthusiast of Artificial Intelligence.
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