whats-new-in-nlp-transformers-bert-and-new-use-cases 
Dataiku
APRIL 10, 2020
The last couple of years have been anything but boring in the field of natural language processing , or NLP. With landmark breakthroughs in NLP architecture such as the attention mechanisms , a new generation of NLP models — the so-called Transformers — has been born (no, not the Michael Bay kind).
Perficient
JANUARY 25, 2024
Many of you may be proficient in using these tools, but have you thought about what happens behind those engaging chat interfaces with artificial intelligences? These endeavors greatly enhanced the understanding of linguistic structures and contributed to the progressive sophistication of NLP applications.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
John Snow Labs
JUNE 27, 2023
Are you curious about the groundbreaking advancements in Natural Language Processing (NLP)? Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. What are Large Language Models (LLMs)?
Altexsoft
JANUARY 18, 2023
According to the paper “Language Models are Few-Shot Learners” by OpenAI, GPT-3 was so advanced that many individuals had difficulty distinguishing between news stories generated by the model and those written by human authors. With these advances, the concept of language modeling entered a whole new era. What is a language model?
Cloudera
JANUARY 7, 2021
Text classification is a ubiquitous capability with a wealth of use cases. For example, recommendation systems rely on properly classifying text content such as news articles or product descriptions in order to provide users with the most relevant information. We’re talking about text embeddings, of course.
John Snow Labs
MAY 15, 2023
The underlying principles behind the NLP Test library: Enabling data scientists to deliver reliable, safe and effective language models. Security and Resiliency: Models should show robustness to data and context that is different than what they where trained on, or different than what is normally expected.
Sunflower Lab
FEBRUARY 12, 2024
What is the difference between LLM and SLM? The primary and significant distinction between a large language model and a small language model lies in their capacity, performance, and the volume of data used for training. To sum it up, in generative AI the key distinction between large and small language models lies in their scale.
Expert insights. Personalized for you.
119 
Let's personalize your content