Marktechpost

JULY 8, 2024

Multilingual natural language processing (NLP) is a rapidly advancing field that aims to develop language models capable of understanding & generating text in multiple languages. These models facilitate effective communication and information access across diverse linguistic backgrounds.

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Data Scarcity Large Language Models Natural Language Processing NLP 130

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 120

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.

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Artificial Intelligence Artificial Intelligence Data Scarcity NLP 99

Marktechpost

OCTOBER 15, 2024

These models are trained on data collected from social media, which introduces bias and may not accurately represent diverse patient experiences. Moreover, privacy concerns and data scarcity hinder the development of robust models for mental health diagnosis and treatment.

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Data Scarcity Inference Engine Large Language Models Machine Learning 107

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?

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Large Language Models Natural Language Processing Machine Learning AI Researcher 110

Marktechpost

AUGUST 5, 2024

The ability to translate spoken words into another language in real time is known as simultaneous speech translation, and it paves the way for instantaneous communication across language barriers. There has been a lot of buzz about machine-assisted autonomous interpretation in natural language processing (NLP).

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Data Scarcity LLM Natural Language Processing NLP 114

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.

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Prompt Engineering Prompt Engineer NLP Computer Vision 105

Pickl AI

OCTOBER 9, 2024

What Are Small Language Models (SLMs)? Small Language Models (SLMs) are a subset of AI models specifically tailored for Natural Language Processing (NLP) tasks. This makes advanced NLP capabilities accessible even to smaller organisations.

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Natural Language Processing Data Scarcity Large Language Models AI 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. Yet controlling these models through prompting alone is limited. GODEL, BlenderBot-1, Koala, Vicuna).

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Natural Language Processing Large Language Models Data Scarcity NLP 52

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. What sets it apart from predecessors is its ability to model beats that correspond with the lyrics instead of just rhythm.

Computer Vision 52

Computer Vision Deep Learning AI AI 52

deepsense.ai

FEBRUARY 12, 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 Engineering 52

Prompt Engineering Prompt Engineer NLP Computer Vision 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

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

John Snow Labs

AUGUST 7, 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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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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Generative AI AI AI Algorithm 40

AWS Machine Learning Blog

DECEMBER 18, 2024

With a vision to build a large language model (LLM) trained on Italian data, Fastweb embarked on a journey to make this powerful AI capability available to third parties. To tackle this data scarcity challenge, Fastweb had to build a comprehensive training dataset from scratch to enable effective model fine-tuning.

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Large Language Models Data Scarcity LLM Generative AI 100