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.

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Data Scarcity Large Language Models Natural Language Processing LLM 113

Bitext

AUGUST 23, 2023

We have shown in previous posts why Synthetic Training Data is the best way to boost the accuracy of any chatbot, and the solution to the most important problem of chatbots nowadays: data scarcity , namely, the lack of accurate and useful training data for the problems chatbots want to address.

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Data Scarcity Chatbots AI AI 52

Topbots

DECEMBER 19, 2023

A key finding is that for a fixed compute budget, training with up to four epochs of repeated data shows negligible differences in loss compared to training with unique data. The paper also explores alternative strategies to mitigate data scarcity.

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Large Language Models Natural Language Processing AI Researcher AI Research 110

deepsense.ai

FEBRUARY 6, 2024

SegGPT Many successful approaches from NLP are now being translated into computer vision. Similarly, the capability of solving multiple tasks through next-token prediction in NLP can be transferred to CV by using image inpainting, the goal of which is to reconstruct missing regions in the image. Source: own study. Source: own study.

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Prompt Engineer Prompt Engineering NLP Computer Vision 99

Pickl AI

FEBRUARY 1, 2023

Thus it reduces the amount of data and computational need. Transfer Learning has various applications like computer vision, NLP, recommendation systems, and robotics. This technology allows models to be fine-tuned using a limited amount of data. Eventually, making it a powerful and efficient tool in Machine Learning.

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Bitext

OCTOBER 6, 2022

Recognize a user´s intent in any chatbot platform: Dialogflow, MS-LUIS, RASA… Enjoy 90% accuracy, guaranteed by SLA Machine Learning is one of the most common use cases for Synthetic Data today, mainly in images or videos.

Data Scarcity 52

Data Scarcity Chatbots Explainability Machine Learning 52

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.

Natural Language Processing 52

Natural Language Processing Large Language Models LLM Data Scarcity 52

Viso.ai

DECEMBER 15, 2023

Symbolic Music Understanding ( MusicBERT ): MusicBERT is based on the BERT (Bidirectional Encoder Representations from Transformers) NLP model. It focuses on generating hip-hop rap lyrics, utilizing NLP and machine learning techniques to produce rhythmically and thematically coherent verses.

Computer Vision 52

Computer Vision Deep Learning AI AI 52

Viso.ai

DECEMBER 18, 2023

Instead of relying on organic events, we generate this data through computer simulations or generative models. Synthetic data can augment existing datasets, create new datasets, or simulate unique scenarios. Specifically, it solves two key problems: data scarcity and privacy concerns.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

NVIDIA’s Eureka and Google’s Code as Policies use natural language processing (NLP) to translate human instructions to robot code to execute tasks. It’s capable of scalable, photorealistic data generation that includes accurate annotations for training. Hardware advancements are equally critical.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

NVIDIA’s Eureka and Google’s Code as Policies use natural language processing (NLP) to translate human instructions to robot code to execute tasks. It’s capable of scalable, photorealistic data generation that includes accurate annotations for training. Hardware advancements are equally critical.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

John Snow Labs

FEBRUARY 29, 2024

Disease Diagnosis Generative AI enhances disease diagnosis by enhancing the accuracy and efficiency of interpreting data. Healthcare NLP (Natural Language Processing) technologies extract insights from physician records, patient histories and diagnostic reports facilitating precise diagnosis.

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