Category: AI

Artificial Intelligence

AI Artificial Intelligence

Voice Assistants Methods Can Guide LLM Deployment: Redefining Success

LLM’s ubiquitous use has changed the game on all surface spaces that involve computing. I speak in the most general sense to underscore how broad the scope of its current and future impact will be. Even partial fulfillment of the various Gen AI promises gives a clear signal for all information technology practitioners to tighten up their expertise […]

Ricardo Lezama 
AI Data

Explaining Seq2Seq Encoding-Decoding Processes

The Sequence-to-Sequence (Seq2Seq) model is a deep learning architecture widely used in tasks like machine translation, text summarization, and chatbot responses. Fundamentally, the model consists of two core components: Encoder: Processes the input sequence into a fixed-size context representation (also called a thought vector or context vector). Decoder: Uses the encoded representation to generate an […]

Ricardo Lezama 
AI United States

Google’s Potential Breakup: Implications for AI Training Data and Market Competition

In a landmark move, the U.S. Department of Justice (DOJ) is seeking to dismantle Google’s colossal structure to address its monopolistic behavior in the search engine market. This request is not just about structural changes but also emphasizes the contentious issue of training data used for artificial intelligence (AI) models. The Request for Divestiture The […]

Ricardo Lezama 
AI California

California Sets Pace with 30 Proposed AI Regulation Laws; Some Say Premature

Allegedly A Stand for Consumer and Job Protection While federal action concerning the regulation of artificial intelligence (AI) remains at a standstill, California has stepped up to take the lead. The state’s lawmakers have proposed a groundbreaking 30 new AI regulation laws, demonstrating their commitment to limit the potential harm of advancing technology. Their action […]

Ricardo Lezama 
AI Tutorial

Si eres lingüista, no te preocupes demasiado por las matemáticas formales en el procesamiento del lenguaje natural (PLN).

En el ámbito del Procesamiento del Lenguaje Natural (PLN), una comprensión básica del álgebra lineal sí ayuda (en cierta medida) cuando se intenta laborar dentro del PLN. Fundamentalmente, la preocupación para todos nosotros los filósofos, lingüistas y psicólogos es ganarse la vida decentemente sin ser penalizados por nuestra falta de gratificación inmediata en el mundo […]

Ricardo Lezama 
AI Computational Linguistics

If You’re A Linguist, Dont’ Sweat The Formal Math (Too Much) in Natural Language Processing

In the realm of Natural Language Processing (NLP), a foundational understanding of linear algebra does help (somewhat) when trying to make money with NLP. Fundamentally, the concern for all us Philosophers, Linguists and Psychologists is to earn a decent living while not being penalized for our lack of immediate gratification in the workforce. The overarching […]

Ricardo Lezama