Natural language and machine translation

Mistral Medium 3.5 BEATS Kimi AND Claude? 🤯 Local AI TEST & REVIEW

Arthur Mensch explique les tokens aux députés pendant que la France s'effondre !

Arthur Mensch explains tokens to MPs while France falls apart!

Unitree IPO, Multi-Stream LLMs, Soluciones para grandes contextos

Unitree IPO, Multi-Stream LLMs, Solutions for Large Contexts

[ИАД, весна 2026] Математические методы анализа текстов. Лекция 3: Lang.Modeling, Seq2Seq, Attention

[IAD, spring 2026] Mathematical methods of text analysis. Lecture 3: Lang.Modeling, Seq2Seq, Attention

[ИАД, весна 2026] Математические методы анализа текстов. Лекция 12: Alignment

[IAD, Spring 2026] Mathematical Methods for Text Analysis. Lecture 12: Alignment

Generative AI L10: semantic properties, evaluation and societal biases of word embeddings

Generative AI L9: Skipgram, CBOW (full softmax variant, negative sampling variant), GloVe

Generative AI L8: Word embedding concept, training data preparation, prediction based encodings

Understanding LLM Capabilities on Large-scale Multilingual Real-World Clinical Data

MIT 6.S191: Language Models and New Frontiers

Building Realistic Voice Agents Has Never Been Easier

Generative AI L7: Word synonymy, similarity, relatedness, one hot vectors, term frequency, tf-idf

Generative AI L6: Morphological units, word formation processes, lexical semantics, ambiguity

[ИАД, весна 2026] Математические методы анализа текстов. Лекция 10: IR, RAG

[IAD, Spring 2026] Mathematical Methods of Text Analysis. Lecture 10: IR, RAG

Generative AI L5: Tokenization (Word piece, unigram tokenization), language related terminologies

Generative AI L4: Types of tokenization (word level, character level, subword level), BPE algorithm

Mikhail Gromov - 3/4 Generation, Transformation, Transmission, Memorization, Storage and (...)

Generative AI L2: Evolution of Natural Language Processing

Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 1: Overview, Tokenization

This One Plugin Just 10x’d Claude Code

Why You're Still Better Than AI at Editing Documents - CS50 Tech Talk

“Cross-lingual Transfer for Machine Translation” - Nate Robinson

“LLM-powered exploratory text analysis at scale” - Mian Zhong

NotebookLM trouve les sources, Claude fait le travail — voici comment les connecter

NotebookLM finds the sources, Claude does the work — here's how to connect them

Leveraging Large Speech Language Models as Evaluators for Expressive Speech - Bismarck Odoom

RAG + Gemini en 2026 (TUTO)🔥

RAG + Gemini in 2026 (TUTORIAL)🔥

Language AI in the Space Sciences: Day 4 - Session 7 - March 12, 2026

Language AI in the Space Sciences: Day 3 - Session 5 - March 11, 2026

Language AI in the Space Sciences: Day 3 - Session 4 - March 11, 2026

Language AI in the Space Sciences: Day 2 - Session 2 - March 10, 2026

Language AI in the Space Sciences: Day 2 - Session 1 - March 10, 2026

Lisa Miracci Lunchtime Talk What you Think Matters Semantic Embedding, Computational Explanation,

[ИАД, весна 2026] Математические методы анализа текстов. Лекция 4: Transfer Learning, BERT-like, LLM

[IAD, Spring 2026] Mathematical Methods for Text Analysis. Lecture 4: Transfer Learning, BERT-like, LLM

Машинное обучение и семантический анализ

Machine learning and semantic analysis

Philipp Koehn: Multilingual Language Processing in 21 century: Lessons Learned and Challenges Ahead

Dictez dans Gmail, Word, Slack, courrier & Rapport ! — Speakly AI (par Genspark)

Dictate in Gmail, Word, Slack, Mail & Reports! — Speakly AI (by Genspark)

S3 #44 How should machines translate sensitive language? Brain-to-brain with Sabrina Frohn.

How Attackers Bypass AI Guardrails with Natural Language

Hands-on Machine Learning -- Sequences and NLP with RNNs and Attention

[Generative AI in Urdu/Hindi] Lecture 6: Embeddings – Word formations, ambiguity, vectorization