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marktechpost.com /4 weeks ago

Contrastive-LM Releases CLM-8B: An Open System One Model That Scores Agent Actions Up to 9× Faster Than Jev

Contrastive-LM has released CLM-8B, an open System One model that scores candidate actions against a state instead of generating text. It adds 2 small projection heads to a frozen...

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habr.com /4 weeks ago

LLMSignal #003 — А что если агенту вообще не нужно генерировать текст, чтобы выбрать следующее действие

Исследователи Stanford Hazy Research представили CLM-8B - Contrastive Language Model, открытую 8B-модель для быстрых решений внутри агентных систем. В отличие от обычной LLM, котор...

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habr.com /1 month ago

Отличие языковой модели LLM от человека

Не собирался писать статью — эту нишу уже отжали у людей орда всевозможных LLM. Но оставил коммент в статье Как ChatGPT создал Культ Роя для сотен AI‑нейросетей: вся правда про взл...

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habr.com /1 month ago

Почему LLM не могут овладеть человеческим языком в совершенстве

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...

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javacodegeeks.com /3 weeks ago

Extracting Reliable Structured Data from LLMs

Large language models are good at understanding natural language, but applications usually need information in a predictable form. A customer support application, for example, may...

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medium.com /3 weeks ago

RAG vs Long-Context LLMs: Why Bigger Context Windows Do Not Solve Retrieval

Large Language Models can now process hundreds of thousands, and sometimes even millions, of tokens.Continue reading on Medium »

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javacodegeeks.com /2 weeks ago

Semantic Caching for Large Language Models

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...

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dev.to /1 month ago

# Beyond Transformers: A Mathematical Critique of Cross-Lingual Diffusion Architectures

Beyond Transformers: A Mathematical Critique of Cross-Lingual Diffusion Architectures The current state of multilingual NLP is dominated by transformer-based architectures that o...

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javacodegeeks.com /3 weeks ago

LLM Fine-Tuning: SFT, LoRA, QLoRA, RAG and Prompting

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...

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towardsdatascience.com /2 weeks ago

The Reversal Curse: Why a Language Model That Knows “A Is B” Can’t Tell You “B Is A”

A model can recall a fact in the direction it learned it and fail in the other. Here's a toy version of why The post The Reversal Curse: Why a Language Model That Knows “A Is B” Ca...

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testmuai.com /1 month ago

Rethinking Ranking in the LLM Era [Testμ 2026]

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.

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pandaily.com /3 weeks ago

Bilibili Open-Sources Index-Translate, a Qwen3.5-Based Translation Model Family for 150 Languages

Bilibili's Index LLM team released Index-Translate under Apache-2.0: 2B, 9B and 35B-A3B preview text models for 150 languages, plus dubbing, syllable-control and long-document vari...

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javacodegeeks.com /1 month ago

How to Switch Between AI Models Automatically

AI applications do not always need the same language model for every request. A simple factual question may only require a small, fast model, while a request involving multiple con...

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kdnuggets.com /3 days ago

LangChain vs. LlamaIndex vs. Building From Scratch: Here’s What I Suggest

Choosing the right framework for your large language model application comes down to one question: what are you actually optimizing for?

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medium.com /6 days ago

Understanding Large Language Models (LLMs)

The basics of how LLMs work, from tokens and Transformers to prompting and RAG.Continue reading on Medium »

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habr.com /1 month ago

«Один нип осторожно замифрил», или как лингвисты разбирают язык внутри LLM

Неважно, что делает LLM. Задача все равно приходит словами, и одно пропущенное не может испортить уже вполне материальное действие. Смотрю на LLM глазами лингвиста и разбираюсь, к...

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serpapi.com /6 days ago

How to Fit More Web Search Data into a Local LLM

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.

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habr.com /3 days ago

[Перевод] Коллапс модели при обучении на сгенерированных данных

Сейчас уже ясно, что большие языковые модели (LLM) никуда не денутся и существенно изменят экосистему текстов и изображений в интернете. Исследовательская группа из Оксфорда, Кембр...

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dzone.com /1 month ago

Prompt Caching: Overriding Tokenization for Faster and More Cost-Effective AI

As Large Language Models (LLMs) become increasingly integrated into enterprise applications, optimizing response time and reducing operational costs have become critical priorities...

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simplilearn.com /1 month ago

How LLMs Work: Transformer Architecture Explained | Simplilearn

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...

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marktechpost.com /1 month ago

Cohere Releases North Small Translate: A 218B MoE Translation Model That Scores 83.6 on WMT26 Across 50 Languages

Cohere has released North Small Translate, an open-weight Mixture-of-Experts model built for machine translation across 50 languages. It uses 25B of its 218B parameters per token a...

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dev.to /3 days ago

Someone built a programming language to break LLMs. I ran it.

Dominik Picheta built a programming language whose design goal is to be unusable by LLMs. It's called KillSwitch, it hit Hacker News yesterday, and the pitch is specific: the spec...

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computerra.ru /1 month ago

Российская модель определяет язык речи в 10 раз быстрее и в 5 раз легче аналога

Источник: Компьютерра - Журнал о науке и технологиях Компания «Криптонит» (входит в «ИКС Холдинг») разработала компактную модель для определения языка по короткому фрагменту речи....

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marktechpost.com /3 weeks ago

Perplexity Releases pplx-embed-v2-context-9b-preview: A Contextual Embedding Model That Retrieves Answers and Their Supp...

Perplexity Research and turbopuffer have released pplx-embed-v2-context-9b-preview, a contextual embedding model for RAG pipelines. Each chunk is embedded with the full document in...

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