Archives for RoBERTa - Page 2
Recently, the researchers at Amazon introduced an optimal subset of the popular BERT architecture for neural architecture search. This smaller version of BERT is known as BORT and is able to be pre-trained in 288 GPU hours, which is 1.2% of the time required to pre-train the highest-performing BERT parametric architectural variant, RoBERTa-large. Since its…
The post This New BERT Is Way Faster & Smaller Than The Original appeared first on Analytics India Magazine.
Natural language processing (NLP) portrays a vital role in the research of emerging technologies. It includes sentiment analysis, speech recognition, text classification, machine translation, question answering, among others. If you have watched any webinar or online talks of computer science pioneer Andrew NG, you will notice that he always asks AI and ML enthusiasts to…
The post 10 Must Read Technical Papers On NLP For 2020 appeared first on Analytics India Magazine.
The ability of natural language in machines, so far, has been elusive. However, the last couple of years, at least since the advent of Google’s BERT model, there has been tremendous innovation in this space. With NVIDIA and Microsoft releasing mega models with tens of millions of parameters, it is safe to say that we…
The post Top 8 Baselines For NLP Models appeared first on Analytics India Magazine.
Natural Language Processing (NLP) is one of the most diversified domains in emerging tech. Last year, search engine giant Google open-sourced a technique known as Bi-directional Encoder Representations from Transformers (BERT) for NLP pre-training. This model helped the researchers to train a number of state-of-the-art models in about 30 minutes on a single Cloud TPU,…
The post Google’s NLP-Powered Pretraining Method ALBERT Is Leaner & Meaner appeared first on Analytics India Magazine.
Recent advancements in natural language processing (NLP) have touched many heights over the past few years. Pre-trained high-capacity language models such as ELMo and BERT have gained popularity in NLP. Language modelling has been implementing in a number of applications such as machine translation, speech recognition, question answering and sentiment analysis, among others. Basically, the…
The post How Language Models Can Be Used In Real-Time Use Cases appeared first on Analytics India Magazine.