Renat Alimbekov blog on Data Science, ML and LLM: hands-on guides, cases and practice for engineers building AI products
Over the past year I ve run a dozen models on real content generation from Reels scripts to longreads. The takeaway is simple and slightly inconvenient: there is no universal best model. Each one has its own character, and the right pick depends on the type of content and the audience. This post is how I Read more → The post Choosing an LLM for Content Generation: Model Characters first appeared…
Four months ago, I added llms.txt and llms-full.txt files to my blog. Time to look at the numbers. What is llms.txt It s essentially robots.txt for language models. A file in the site s root directory that helps AI systems — ChatGPT, Perplexity, Claude, Gemini — better understand the structure and content of your website. I wrote Read more → The post How llms.txt Increased AI Chat Traffic by 23%:…
If you, like me, wonder how LLMs work with MCP and how well they execute your assigned tasks, then a new study called MCPMark is exactly about that. The research shatters all illusions about artificial intelligence against the harsh reality. Why Existing Tests Don t Work Imagine evaluating a person s ability to work as a programmer Read more → The post MCPMark Benchmark: Why AI Agents Fail 47% of…
For the past couple of years, I ve been working as a Data Science and Data Analytics consultant. My clients are companies and startups from different countries around the world. Today I m convinced: no matter what your profession is — lawyer, recruiter, product manager, or designer — a mandatory requirement for working in 2025 is that Read more → The post How to Become an AI-First Specialist Right…
August 2025 was marked by the release of several significant updates and completely new models in the field of artificial intelligence that promise to substantially change the AI landscape. Anthropic, Google DeepMind, and OpenAI presented their latest achievements, demonstrating progress in agentic tasks, world generation, and open language models. Let s examine these releases. Open GPT-OSS Read…
Llms.txt is a special text file that allows websites to be understood more effectively by artificial intelligence systems and large language models. The file is placed in the root directory of the website and helps AI systems like ChatGPT, Google Gemini, Claude, and Perplexity process content more accurately. Origin and Purpose The llms.txt format was Read more → The post What is an llms.txt file?…
In today s AI-driven world, Retrieval-Augmented Generation (RAG) is becoming an increasingly significant approach that combines the capabilities of information retrieval with the generative abilities of large language models (LLMs). This overcomes a number of limitations faced by traditional LLMs and provides more accurate and fact-based answers. What is RAG? RAG is not a single technology, Read…
RouteLLM reduces your costs for using LLMs by 3.6 times. It chooses whether to use a strong or weak LLM model depending on the complexity of the user s query. This optimizes the balance between cost and quality of the response. The Python library allows you to use this approach directly. Here’s how the model works: Read more → The post How to Speed Up LLMs and Cut Costs with Edge Models first…
Google DeepMind has developed a multi-pass online approach using reinforcement learning to enhance the self-correction capabilities of large language models (LLMs). It has been shown that supervised fine-tuning (SFT) is ineffective for learning self-correction and faces a mismatch between training data and the model’s responses. To address this issue, a two-stage approach is proposed, which Read…
Over the past month, there have been some very interesting and significant events in the world of Large Language Models (LLM). Major companies have released fresh versions of their models. First, Google launched two new models, Gemini: Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002. Key Features: The main focus has been on improving performance and speed and reducing costs Read more → The post All…