Marktechpost

MAY 11, 2024

With the significant advancement in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules.

Large Language Models 127

Large Language Models NLP Data Scarcity Computational Linguistics 127

John Snow Labs

OCTOBER 16, 2023

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). Strategy and Data: Non-top-performers highlight strategizing (24%), talent availability (21%), and data scarcity (18%) as their leading challenges.

Large Language Models 52

Large Language Models NLP Metadata LLM 52

Unite.AI

JANUARY 22, 2024

Synthetic data , artificially generated to mimic real data, plays a crucial role in various applications, including machine learning , data analysis , testing, and privacy protection. However, generating synthetic data for NLP is non-trivial, demanding high linguistic knowledge, creativity, and diversity.

NLP 173

NLP BERT Large Language Models Data Scarcity 173

Marktechpost

SEPTEMBER 2, 2023

On various Natural Language Processing (NLP) tasks, Large Language Models (LLMs) such as GPT-3.5 They optimize the LVLM using synthesized anomalous visual-textual data and incorporating IAD expertise. Direct training using IAD data, however, needs to be improved. Data scarcity is the first.

Data Scarcity 122

Data Scarcity Large Language Models Natural Language Processing LLM 122

Allen AI

DECEMBER 4, 2023

They design a suite of tests based on AmbiEnt, presenting the first evaluation of pretrained LMs to recognize ambiguity and disentangle possible meanings, and encourage the field to rediscover the importance of ambiguity for NLP. Yet controlling these models through prompting alone is limited. GODEL, BlenderBot-1, Koala, Vicuna).

Natural Language Processing 52

Natural Language Processing Large Language Models LLM Data Scarcity 52

deepsense.ai

FEBRUARY 6, 2024

SegGPT Many successful approaches from NLP are now being translated into computer vision. For instance, the analogy of the masked token prediction task used to train BERT is known as masked image modeling in computer vision. Comparison of few-shot inference between NLP and CV. Source: own study. Source: own study.

Prompt Engineer 82

Prompt Engineer Prompt Engineering NLP Computer Vision 82

Viso.ai

FEBRUARY 11, 2024

Breakthroughs in Robotics CV Models Ask most experts, and they will probably say that we are still a few years out from computer vision in robotics’ “ChatGPT moment.” The integration of multimodal Large Language Models (LLMs) with robots is monumental in spearheading this field.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52