Remove Artificial Intelligence Remove Data Scarcity Remove Large Language Models
article thumbnail

NVIDIA advances AI frontiers with CES 2025 announcements

AI News

Much like the impact of large language models on generative AI, Cosmos represents a new frontier for AI applications in robotics and autonomous systems. Pras Velagapudi, CTO at Agility, comments: Data scarcity and variability are key challenges to successful learning in robot environments.

Robotics 276
article thumbnail

Meet MaLA-500: A Novel Large Language Model Designed to Cover an Extensive Range of 534 Languages

Marktechpost

With new releases and introductions in the field of Artificial Intelligence (AI), Large Language Models (LLMs) are advancing significantly. They are showcasing their incredible capability of generating and comprehending natural language. If you like our work, you will love our newsletter.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Leveraging Linguistic Expertise in NLP: A Deep Dive into RELIES and Its Impact on Large Language Models

Marktechpost

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. If you like our work, you will love our newsletter.

article thumbnail

LLM2LLM: UC Berkeley, ICSI and LBNL Researchers’ Innovative Approach to Boosting Large Language Model Performance in Low-Data Regimes with Synthetic Data

Marktechpost

Large language models (LLMs) are at the forefront of technological advancements in natural language processing, marking a significant leap in the ability of machines to understand, interpret, and generate human-like text. Similarly, on the CaseHOLD dataset, there was a 32.6% enhancement, and on SNIPS, a 32.0%

article thumbnail

CMU Researchers Release Pangea-7B: A Fully Open Multimodal Large Language Models MLLMs for 39 Languages

Marktechpost

Despite recent advances in multimodal large language models (MLLMs), the development of these models has largely centered around English and Western-centric datasets. Moreover, PANGEA matches or even outperforms proprietary models like Gemini-1.5-Pro

article thumbnail

VulScribeR: A Large Language Model-Based Approach for Generating Diverse and Realistic Vulnerable Code Samples

Marktechpost

VulScribeR employs large language models (LLMs) to generate diverse and realistic vulnerable code samples through three strategies: Mutation, Injection, and Extension. The success of VulScribeR highlights the importance of large-scale data augmentation in the field of vulnerability detection.

article thumbnail

A Comprehensive Guide to Concepts in Fine-Tuning of Large Language Models (LLMs)

Marktechpost

Despite challenges such as data scarcity and computational demands, innovations like zero-shot learning and iterative optimization continue to push the boundaries of LLM capabilities. Individuals, AI researchers, etc., Individuals, AI researchers, etc.,