Marktechpost

JULY 22, 2024

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has highlighted the critical need for large, diverse, and high-quality datasets to train and evaluate foundation models. Utilizing advanced models like GPT4o, LLaMa3, Mixtral, Gemma, and Gemma2, OAK addresses data scarcity, privacy concerns, and diversity issues.

AI Researcher 120

AI Researcher AI Research Data Scarcity Prompt Engineer 120

Marktechpost

AUGUST 2, 2024

A major issue in RL is the data scarcity in embodied AI, where agents must interact with physical environments. This problem is exacerbated by the need for substantial reward-labeled data to train agents effectively. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Machine Learning 130

Machine Learning Data Scarcity Large Language Models Robotics 130

Marktechpost

AUGUST 12, 2024

The success of VulScribeR highlights the importance of large-scale data augmentation in the field of vulnerability detection. By generating diverse and realistic vulnerable code samples, this approach provides a practical solution to the data scarcity problem that has long hindered the development of effective DLVD models.

Large Language Models 109

Large Language Models Data Scarcity Software Engineer LLM 109

Marktechpost

AUGUST 2, 2024

With its extensive language training and romanization technique, the MMS Zero-shot method offers a promising solution to the data scarcity challenge, advancing the field towards more inclusive and universal speech recognition systems. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Data Scarcity 108

Data Scarcity AI Modeling AI AI 108

Marktechpost

AUGUST 5, 2024

They use a three-stage training methodology—pretraining, ongoing training, and fine-tuning—to tackle the data scarcity of the SiST job. The team trains their model continuously using billions of tokens of low-quality synthetic speech translation data to further their goal of achieving modal alignment between voice and text.

Data Scarcity 117

Data Scarcity LLM Natural Language Processing NLP 117

Marktechpost

JULY 25, 2024

Large language models (LLMs) show promise in solving high-school-level math problems using proof assistants, yet their performance still needs to improve due to data scarcity. Formalized systems like Lean, Isabelle, and Coq offer computer-verifiable proofs, but creating these demands substantial human effort.

Automation 103

Automation Data Scarcity Large Language Models Data Extraction 103

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. Don’t Forget to join our 50k+ ML SubReddit.

Data Scarcity 109

Data Scarcity Inference Engine Large Language Models Machine Learning 109