Large Language Models (LLMs) to standardize scientific data, including data format standardization, automatic extraction of metadata, data annotation, data quality assessment, data cleaning, and documentation.

2 views • 5 slides

The realm of AI with Large Language Models (LLMs), like ChatGPT, Bing, Bard, and others. Understand how these models learn from text and documents to predict and assist, and discover effective Prompt Engineering techniques to harness their capabilities fully. Dive into the world of LLMs to enhance y

5 views • 16 slides

Large Language Models (LLMs) are sophisticated deep learning algorithms capable of understanding and generating human language. These models, trained on massive datasets, excel at various natural language processing tasks such as sentiment analysis, text classification, natural language inference, s

2 views • 83 slides

This resource delves into the realm of artificial intelligence (AI), focusing on its applications in ESL instruction. It covers what AI is, its benefits for individualized learning, limitations, and the role of Large Language Models (LLMs) in text prediction and processing. The content also discusse

0 views • 19 slides

Large Language Models (LLMs) like chatGPT are statistical pattern-recognition systems that predict the next word in a sequence based on the context. Trained on vast datasets, LLMs cluster words by understanding patterns, not true meaning. They use unsupervised learning and reinforcement to improve r

10 views • 29 slides

The AnglE model introduces angle optimization to address common challenges like vanishing gradients and underutilization of supervised negatives in Large Language Models (LLMs). By enhancing the gradient and optimization processes, this novel approach improves text embedding learning effectiveness.

9 views • 33 slides

Exploring the impact of AI in higher education, this content delves into the capabilities of LLMs, tasks ChatGPT/AI excels in, and main AI-related issues faced in teaching and learning. Insights from undergraduates' perceptions and expectations on AI in education are also highlighted.

2 views • 15 slides

Knowledge editing for large language models focuses on addressing hallucinations and errors in generated content by modifying model behavior without affecting other inputs. Techniques such as LLM fixer, model editing, and supervised fine-tuning aim to mitigate these issues. Recent research explores

6 views • 36 slides

This study delves into gender bias evaluation in BERTi, a large language model trained on South Slavic data. It explores issues in language modeling, the impact of social biases in artificial intelligence, and training processes of Large Language Models (LLMs). Additionally, it discusses how LLMs le

11 views • 16 slides