Towards AI

MAY 20, 2023

Challenges of building custom LLMs Building custom Large Language Models (LLMs) presents an array of challenges to organizations that can be broadly categorized under data, technical, ethical, and resource-related issues. Ensuring data quality during collection is also important.

LLM 88

LLM Large Language Models Chatbots Natural Language Processing 88

Unite.AI

JANUARY 11, 2024

They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more. vector embedding Recent advances in large language models (LLMs) like GPT-3 have shown impressive capabilities in few-shot learning and natural language generation.

Large Language Models 147

Large Language Models Prompt Engineer Prompt Engineering BERT 147

Marktechpost

MARCH 10, 2024

Existing methodologies for assembling datasets for LLM training have traditionally hinged on amassing large text corpora from the web, literature, and other public text sources to encapsulate a wide spectrum of language usage and styles.

Large Language Models 91

Large Language Models Natural Language Processing LLM Categorization 91

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Amazon Comprehend is a natural-language processing (NLP) service that uses machine learning to uncover valuable insights and connections in text. Knowledge management – Categorizing documents in a systematic way helps to organize an organization’s knowledge base. Amazon Comprehend custom classification can be useful in this situation.

Categorization 90

Categorization Machine Learning Data Scientist Natural Language Processing 90

Snorkel AI

JULY 19, 2023

We validated the downstream effect of fine-tuning on this higher-quality data with the Together AI fine-tuning service (now available via API ), which we used to create an improved version of the open-source RedPajama chat LLM with full data transparency.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

Snorkel AI

JULY 19, 2023

We validated the downstream effect of fine-tuning on this higher-quality data with the Together AI fine-tuning service (now available via API ), which we used to create an improved version of the open-source RedPajama chat LLM with full data transparency.

Categorization 52

Categorization ChatGPT Large Language Models Generative AI 52

Topbots

DECEMBER 19, 2023

The Many Faces of Responsible AI In her presentation , Lora Aroyo, a Research Scientist at Google Research, highlighted a key limitation in traditional machine learning approaches: their reliance on binary categorizations of data as positive or negative examples. In safety evaluation tasks, experts disagree on 40% of examples.

Computer Vision 52

Computer Vision Natural Language Processing AI Researcher AI Research 52