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A Bit Late but Ultimate Analysis: DeepSeek
tldr: if you want to find out everything about deepseek you can read this blogpost that has 3 separate sections with increasing technical details and difficulty from one to another, so you can stop …
Upstream posts
Rust is Not a Functional Language
We at Serokell love Rust. We also love functional languages like Haskell and OCaml. However, there appears to be a bit of confusion as to whether Rust can be called a functional language, too.
A Guide to Kalman Filter
In this article, we’ll make a few notes on how Kalman filter works, and will show how to overcome most common problems that might appear while using it.
How to Evaluate an ML Model Performance?
Every data scientist knows that one of the most exciting parts of machine learning is picking the right algorithm to crack a problem. But how do you make sure that your chosen algorithm actually delivers the results you're aiming for? In this article, we discuss several methods allowing you to measure the performance of your ML model.
Top 11 AI Tools for Developers
The rapid advancement of AI has transformed the way developers approach software creation, problem-solving, and collaboration. AI tools are no longer just experimental—they’ve become essential components of modern development environments. This article will be especially useful for developers who want to automate repetitive tasks, enhance code accuracy, and improve project management. We offer an overview of some of the best AI tools currently available, including pricing and key features, so you can choose the right tools to fit your needs and projects.
What Is AutoML?
Today it is hard to imagine a business that doesn’t use machine learning in analytics and decision-making. However, the development and deployment of ML models can be very complicated and resource-consuming. Even experienced data scientists and ML engineers could benefit from effective automation. AutoML is a way to automate machine learning in your enterprise. In this article, we will talk about the benefits of AutoML, its operating principles, and ways to use it in your business.
How Top Companies Use AI
In the last few years, artificial intelligence has become an omnipresent technology. Many businesses, including world leading companies, apply AI for various purposes: business intelligence, performance analytics, enhancing user experience, optimization, and more. In this article, we will look at 9 companies that use artificial intelligence. Hopefully, they can inspire you and give some suggestions about how you can use AI creatively in your business.
Editor’s pick
A Comprehensive Guide to BERT
In this article, we’ll explore how Bidirectional Encoder Representations from Transformers (BERT) works, and why it’s called a universal tool for solving dozens of natural language processing tasks.
Upstream posts
How to Choose the Right Database for Your Business
In today's data-driven world, businesses rely heavily on databases to store, manage, and analyze their information. Choosing the right type of database can significantly impact your organization's efficiency, scalability, and overall success. In this article, we offer an overview of various database types and tips on how to choose the right one for your business.
Haskell in Mercury: Interview with Max Tagher
In our Functional Futures podcast episodes, we interview technical leaders from companies that use Haskell for real-world tasks. This season will be dedicated to the business side of development with functional programming.
Our guest is Max Tagher, the co-founder and CTO of Mercury, the fintech startups use for banking* and all their financial workflows. Mercury has been using Haskell from the start of the company, from scratch. And our conversation will be dedicated to that.
*Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust, Members FDIC
TON Smart Contract Development Tutorial
The TON blockchain has emerged as a robust platform offering scalability, speed, and security. Businesses are increasingly adopting it for the development of decentralized applications (dApps). To take advantage of its full potential, understanding TON's smart contracts is essential. This article is an introduction to TON smart contract development, where we guide you through the essential steps, tools, and best practices needed to get started.
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LLMs for Business: Fine-Tuning and Risks
This is the second article in our series “LLMs for Business.” In it, we explore how to fine-tune large language models and use them safely so they don’t harm your business.
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Serokell’s Work on GHC: Dependent Types, Part 4
The GHC team at Serokell continues its work towards dependent types in Haskell. Our ultimate goal is that Haskell becomes a language where the use of advanced type system features is not just possible but practical.
In this report, Serokell's GHC team members Vladislav Zavialov and Andrei Borzenkov describe their recent contributions.
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LLMs for Business: How to Run Them
We've seen many articles on large language models (LLMs) aimed at the general public and decision-makers. Many of them are either overly simplistic or, conversely, cover too complicated technical aspects. In our blog post, we take a balanced approach to explaining the essence of LLMs and their fundamental processes. In the first article of a series dedicated to large language models, we discuss their foundational principles and various approaches to running them.
Thanks for visiting the Serokell blog.
Serokell is a multinational team of programmers, joined by love towards functional languages. Science and education are among the core values of Serokell. Our blog is a place for our specialists to talk about things that matter to them. Stay tuned to read more about pioneering research and practical applications of functional programming, mathematics, artificial intelligence, and computer science.