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Articole: 10

  1. Choosing an LLM for Content Generation: Model Characters

    (Renat Alimbekov's blog on Data Science, ML and LLM)

    Over the past year I’ve run a dozen models on real content generation from Reels scripts to longreads.

  2. How llms.txt Increased AI Chat Traffic by 23%: Real Results

    (Renat Alimbekov's blog on Data Science, ML and LLM)

    Four months ago, I added llms.txt and llms-full.txt files to my blog.

  3. MCPMark Benchmark: Why AI Agents Fail 47% of Tasks

    (Renat Alimbekov's blog on Data Science, ML and LLM)

    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.

  4. How to Become an AI-First Specialist Right Now

    (Renat Alimbekov's blog on Data Science, ML and LLM)

    For the past couple of years, I’ve been working as a Data Science and Data Analytics consultant.

  5. Open LLM Models GPT-OSS from OpenAI and More

    (Renat Alimbekov's blog on Data Science, ML and LLM)

    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.

  6. What is an llms.txt file? Structure of llms.txt file

    (Renat Alimbekov's blog on Data Science, ML and LLM)

    Llms.txt is a special text file that allows websites to be understood more effectively by artificial intelligence systems and large language models.

  7. RAG Research: Latest Advances and open challenges

    (Renat Alimbekov's blog on Data Science, ML and LLM)

    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).

  8. How to Speed Up LLMs and Cut Costs with Edge Models

    (Renat Alimbekov's blog on Data Science, ML and LLM)

    RouteLLM reduces your costs for using LLMs by 3.6 times.

  9. Trending Articles on Large Language Models

    (Renat Alimbekov's blog on Data Science, ML and LLM)

    Google DeepMind has developed a multi-pass online approach using reinforcement learning to enhance the self-correction capabilities of large language models (LLMs).

  10. All the Latest in the World of LLM – gemini, LLama

    (Renat Alimbekov's blog on Data Science, ML and LLM)

    Over the past month, there have been some very interesting and significant events in the world of Large Language Models (LLM).