TIL about Ollama and DeepSeek

I guess by now you have probably heard about DeepSeek. If in the extremely unlikely event that you have come across this post before reading about DeepSeek, please go look them up. When I first heard about them and their amazing LLM models, the first thing I wanted to do was to try them out! I found out that the easiest way to quickly use their models is via Ollama.

After installing Ollama on my Windows laptop, I tested it out! Using Windows Powershell:

ollama run deepseek-r1:32b

Then I just asked the same question I asked before to Jan:

Give me a one paragraph summary of bioinformatics.

<think>
Okay, I need to create a one-paragraph summary of bioinformatics based on the given response. Let's see what that includes.

The original summary mentions that bioinformatics is an interdisciplinary field combining biology and computer science. It uses computational methods to analyze biological data, especially genomics. Tools like DNA sequencing and protein analysis are key. Applications include personalized medicine, drug development, understanding evolution, and fighting diseases like cancer and COVID-19. It's crucial for advancing healthcare and life sciences by integrating big data.

I should capture all these points concisely in a single paragraph without making it too long. I need to ensure the flow is logical, starting from what bioinformatics is, its methods, tools, applications, and importance. Maybe start with defining it as an interdisciplinary field, then talk about computational methods, mention specific areas like genomics, list some tools, discuss applications, and conclude with its impact on healthcare.

I should also make sure to use clear and precise language without being too technical. Avoid jargon that might not be widely understood. Let me structure this in my mind: intro, methods/tools, applications, impact. That should cover all the necessary points succinctly.
</think>

Bioinformatics is an interdisciplinary field that merges biology with computer science, employing computational techniques to analyze and interpret biological data, particularly genomics. It utilizes tools such as DNA sequencing and protein analysis to facilitate advancements in areas like personalized medicine, drug discovery, evolutionary studies, and disease research, including combatting conditions such as cancer and COVID-19. By integrating large datasets, bioinformatics plays a pivotal role in driving progress in healthcare and life sciences, offering insights that enhance our understanding of health and disease.

What is different about the reply (at least with the open models I have tried so far) is the "thinking" stage, which I guess is supposed to mimic reasoning.

Regarding the answer, I would definitely like to see statistics being included in the summary. To me, bioinformatics is biology + computer science + statistics.