Unite.AI

JANUARY 22, 2024

However, generating synthetic data for NLP is non-trivial, demanding high linguistic knowledge, creativity, and diversity. Different methods, such as rule-based and data-driven approaches, have been proposed to generate synthetic data.

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 118

Data Scarcity Large Language Models Natural Language Processing LLM 118

Marktechpost

APRIL 17, 2024

In the rapidly evolving landscape of artificial intelligence (AI), the quest for large, diverse, and high-quality datasets represents a significant hurdle.

Data Scarcity 106

Data Scarcity Artificial Intelligence Artificial Intelligence AI Modeling 106

Marktechpost

APRIL 5, 2024

.” Despite some research exploring the benefits and drawbacks of multilingual training and efforts to enhance models for smaller languages, most cutting-edge models still need to be primarily trained in large languages like English.

Data Scarcity 109

Data Scarcity AI Modeling AI AI 109

TheSequence

APRIL 14, 2024

📝 Editorial: Neuro-Symbolic Models are Making a Comeback Large language models (LLMs) have dominated the AI narrative in recent years to the point that we almost need to wonder about the future of other areas of machine learning.

Data Scarcity 52

Data Scarcity LLM Neural Network ML 52

Allen AI

DECEMBER 4, 2023

This benchmark draws upon important theoretical requisites from psychology and necessary empirical considerations when evaluating large language models (LLMs). Welleck*, Yejin Choi* Large language models excel at a variety of language tasks when prompted with examples or instructions.

Natural Language Processing 52

Natural Language Processing Large Language Models LLM Data Scarcity 52

Allen AI

NOVEMBER 28, 2023

Our recent paper, “SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization”, which has been accepted to EMNLP as an oral presentation, shows how anyone can obtain substantially larger and more diverse social chitchat data with better quality. Large, diverse, and high-quality? Too good to be true.

Large Language Models 52

Large Language Models Data Scarcity LLM AI 52

Marktechpost

JULY 29, 2023

Overall, the paper presents a significant contribution to the field by addressing the challenge of data scarcity for certain classes and enhancing the performance of CLIP fine-tuning methods using synthesized data. Check out the Paper. All Credit For This Research Goes To the Researchers on This Project.

AI Researcher 79

AI Researcher AI Research Generative AI Data Scarcity 79

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

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

deepsense.ai

FEBRUARY 6, 2024

In NLP, this refers to finding the most optimal text to feed the Large Language Model for enhanced performance. Observe that we need thousands of instances to match the performance of zero-shot models. Since we have already seen 3 inspirations from NLP, let’s go further and try to translate two more concepts.

Prompt Engineer 82

Prompt Engineer Prompt Engineering NLP Computer Vision 82

Marktechpost

FEBRUARY 29, 2024

Data scarcity in low-resource languages can be mitigated using word-to-word translations from high-resource languages. However, bilingual lexicons typically need more overlap with task data, leading to inadequate translation coverage. Check out the Paper.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Data Scarcity NLP 73

Topbots

DECEMBER 19, 2023

Generated with Midjourney The NeurIPS 2023 conference showcased a range of significant advancements in AI, with a particular focus on large language models (LLMs), reflecting current trends in AI research. Outstanding Papers Awards Are Emerged Abilities of Large Language Models a Mirage?

Large Language Models 110

Large Language Models Natural Language Processing AI Researcher AI Research 110

John Snow Labs

FEBRUARY 29, 2024

Overcoming Data Limitations In healthcare, the availability and quality of data can be significant barriers to research and development. Gen AI addresses this by generating high-quality, synthetic datasets that can supplement real data, enabling researchers and healthcare professionals to overcome data scarcity and privacy concerns.

Generative AI 40

Generative AI AI AI AI Modeling 40

AWS Machine Learning Blog

MARCH 14, 2024

Organizations must also carefully manage data privacy and security risks that arise from processing proprietary data with FMs. The skills needed to properly integrate, customize, and validate FMs within existing systems and data are in short supply.

Generative AI 108

Generative AI Prompt Engineer Prompt Engineering AI 108

Unite.AI

MARCH 13, 2024

Introduction The field of natural language processing (NLP) and language models has experienced a remarkable transformation in recent years, propelled by the advent of powerful large language models (LLMs) like GPT-4, PaLM, and Llama.

Large Language Models 204

Large Language Models Natural Language Processing LLM Data Scarcity 204

Marktechpost

APRIL 15, 2024

The rapid advancement of large language models has ushered in a new era of natural language processing capabilities. However, a significant challenge persists: most of these models are primarily trained on a limited set of widely spoken languages, leaving a vast linguistic diversity unexplored.

Machine Learning 123

Machine Learning Data Scarcity Large Language Models Natural Language Processing 123

Marktechpost

APRIL 4, 2024

However, the development and refinement of such technology have been hampered by the scarcity of high-quality, diverse Text-to-SQL training data. Gretel’s dataset is designed to fill the gap in training Large Language Models (LLMs) that are specialized in Text-to-SQL tasks.

Artificial Intelligence 95

Artificial Intelligence Artificial Intelligence AI Modeling Data Scarcity 95

Viso.ai

DECEMBER 15, 2023

At the forefront of this transformation are Large Language Models (LLMs). These intelligent models have transcended their traditional linguistic boundaries to influence music generation. This approach enables high-quality, controllable melody generation with minimal lyric-melody paired data.

Computer Vision 52

Computer Vision Deep Learning AI AI 52