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TL;DR: Large language models process text through tokenization, embeddings, transformers, and self-attention. They are trained through pre-training, fine-tuning, and alignment, the...
The basics of how LLMs work, from tokens and Transformers to prompting and RAG.Continue reading on Medium »
Large Language Models can now process hundreds of thousands, and sometimes even millions, of tokens.Continue reading on Medium »
Large language models have become easier to integrate into applications, but running them efficiently is still a major engineering challenge. As the number of users and requests in...
Large Language Models (LLMs) have transformed the way applications process and generate natural language. They are widely used in chatbots, search systems, coding assistants, docum...
Open-source large language models are AI systems you can study, adapt, and use without being locked into one company’s platform or rules. In 2025, they’re giving rese...
Rhea Goel of Amazon on replacing a re-ranker with an LLM: natural language objectives, fine-tuning, DPO, hard and soft constraints, distillation and LLM judges.
Даже идеальная модель с бесконечным объемом текста не восстановит ту часть смысла, которая никогда не была закодирована в языковой форме.Представьте фразу в рабочем чате: «он снова...
Large language models can perform many tasks without any additional training. They can answer questions, summarize text, generate code, classify information, and interact with tool...
To train a large language model (LLM), you need to adjust its learned parameters by presenting it with tokenized text, [...] Read More... The post How to train an LLM appeared firs...
Fine-tuning large language models isn’t a one-size-fits-all exercise anymore. What started as a technique mostly discussed in AI research…Continue reading on Medium »
Large Language Models (LLMs) are commonly accessed through cloud APIs provided by services such as OpenAI, Anthropic, or Google Gemini. However, there are many situations where dev...
Large Language Models (LLMs) are a breakthrough technology, helping fuel the AI industrial revolution. OpenAI and Anthropic are market leaders, with extraordinary private valuation...
Use SerpApi's Markdown output and the JSON Restrictor to give a local LLM more web search data in the same context window, tested on four models in LM Studio.
Large Language Models (LLMs) are a breakthrough technology, helping fuel the AI industrial revolution. OpenAI and Anthropic are market leaders, with extraordinary private valuation...
Liquid AI has released LFM2.5-VL-3B-DSpark, a 279.5M-parameter draft model that brings speculative decoding to its LFM2.5-VL-3B vision-language model. It delivers up to 3.13x faste...
Large language models (LLMs) are reshaping how engineers approach antenna design, simulation, and testing. Here is what that looks like in practice. A colleague recently described...
LM Studio has added Z.ai’s new GLM-5.3-Flash model to Bionic, its AI agent platform, bringing multimodal input, a 1 million-token context window, and significantly lower pricing th...
Z.ai has released GLM-5.3-Flash, the first natively multimodal model in the GLM-5 series — a 320B-total / 18B-active MoE with a 1,048,576-token context window, MIT-licensed weights...
You don’t need a billion-dollar AI lab to understand how large language models work. You can build a small one yourself — and learn why…Continue reading on Data Science Collective...
Large language models can appear safe in a single exchange yet become increasingly vulnerable when a conversation unfolds over many turns. A new study introduces a training framewo...
Когда речь заходит о ЛЛМ и классификации, первая мысль — попросить модель сгенерировать класс через промптирование модели с описанием правил и добавлением примеров. Для небольшого...
Mistral AI has released Mistral Large 4, nicknamed Le Chonk, as a public preview. It is a 1.05 trillion parameter Mixture of Experts model with 49 billion active parameters, native...
Large Language Models can take several seconds, or sometimes much longer, to produce a complete response. In a traditional blocking application, the caller waits until the entire r...
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