Natural language and machine translation

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

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

Elevenlabs just got wrecked. This free AI text to speech is WILD!

[Generative AI in Urdu/Hindi] Lecture 5: Tokenization (cont.) – algorithms, examples, best practices

[Generative AI in Urdu/Hindi] Lecture 4: Tokenization – concept, types, their problems, solutions

[Generative AI in Urdu/Hindi] Lecture 3: Language - embeddings to encoding, modelling to fine-tuning

AI en Retail y CPG, Competencia entre agentes evolutivos, DroPE y RLMs para contextos grandes

AI in Retail and CPG, Competition among evolutionary agents, DroPE and RLMs for long contexts

I Built a Voice Agent That Calls Every New Lead (n8n + Vapi)

[Generative AI in Urdu/Hindi] Lecture 2: Language – concepts to terminologies, vectors to embeddings

8: Deep Learning for Natural Language – Transformers, Self-Supervised Learning

6: Deep Learning for Natural Language – Embeddings

5: Deep Learning for Natural Language – The Basics

Google Webinar | Risk Classification with LLMs

Regina Barzilay: Learning to Model Text Structure

Philipp Koehn: "Advances in Statistical Machine Translation: Phrases, Noun Phrases and Beyond"

Lillian Lee: Only connect! Two explorations in using graphs for IR and NLP

Julia Hirschberg: Detecting Deceptive Speech

Ken Church: "Speech and Language Processing: Where have we been and where are we going"

Ani Nenkova: Predicting sentence specificity, with applications to news summarization

Slav Petrov: Fast, Accurate and Robust Multilingual Syntactic Analysis

Philip Resnik: Machine Translation Lecture II

Pascale Fung: Reducing Confusions and Ambiguities in Speech Translation

Andrew McCallum: Information Extraction from the World Wide Web Using Finite State Models and Sco...

I Built an AI Voice Receptionist with Vapi and n8n MCP (free template)

Conférence plénière : Aurélie Névéol (CNRS, France -- 25 septembre 2025)

Plenary conference: Aurélie Névéol (CNRS, France -- September 25, 2025)

Uso básico de Notebooks gratuitos (Colab y LM simples)

Basic use of free Notebooks (Colab and simple LM)

Séminaire DIC-ISC-CRIA - 20 novembre 2025 par Ari HOLTZMAN

Grigoris Velegkas: Language Identification, Generation, and Hallucination Detection in the Limit