Large language models (LLMs), such as the model underpinning the functioning of the conversational agent ChatGPT, are becoming increasingly widespread worldwide. As many people are now turning to LLM-based platforms to source information and write context-specific texts, understanding their limitations and vulnerabilities is becoming increasingly vital.
In machine learning, probability distributions play a fundamental role for various reasons: modeling uncertainty of information and data, applying optimization processes with stochastic settings, and performing inference processes, to name a few.
This post is in six parts; they are: • The Complexity of NER Systems • The Evolution of NER Technology • BERT’s Revolutionary Approach to NER • Using DistilBERT with Hugging Face’s Pipeline • Using DistilBERT Explicitly with AutoModelForTokenClassification • Best Practices for NER Implementation The challenge of Named Entity Recognition extends far beyond simple …
Read more “How to Do Named Entity Recognition (NER) with a BERT Model”
Inference with transformer-based language models begins with a prompt processing step. In this step, the model generates the first output token and stores the KV cache needed for future generation steps. This prompt processing step can be computationally expensive, taking 10s of seconds or more for billion-parameter models on edge devices when prompt lengths or …
Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. FMs are probabilistic in nature and produce a range of outcomes. Though these models …
The telecommunications industry is at a critical juncture. The demands of 5G, the explosion of connected devices, and the ever-increasing complexity of network architectures require a fundamental shift in how networks are managed and operated. The future is autonomous — autonomous networks driving efficiency and innovation The future isn’t just about scale and performance; it’s …
Scientists everywhere can now access Evo 2, a powerful new foundation model that understands the genetic code for all domains of life. Unveiled today as the largest publicly available AI model for genomic data, it was built on the NVIDIA DGX Cloud platform in a collaboration led by nonprofit biomedical research organization Arc Institute and …
Read more “Massive Foundation Model for Biomolecular Sciences Now Available via NVIDIA BioNeMo”
DOGE technologists Edward Coristine—the 19-year-old known online as “Big Balls”—and Kyle Schutt are now listed as staff at the Cybersecurity and Infrastructure Security Agency.
Someday, your drinking water could be completely free of toxic “forever chemicals.” These chemicals, called PFAS (per- and polyfluoroalkyl substances), are found in common household items like makeup, nonstick cookware, dental floss, batteries, and food packaging. PFAS permeate the soil, water, food, and air, and they can remain in the environment for millennia. Once inside …
Read more “Machine learning accelerates discovery of membranes to filter PFAS from water”
Be sure to check out the previous articles in this series: •