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Revolutionizing large language model training with Arcee and AWS Trainium

AWS Machine Learning Blog

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. Continual Pre-Training of Large Language Models: How to (re) warm your model?

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ChatGPT (GPT- 4) – A Generative Large Language Model

Viso.ai

Viso Suite is the Computer Vision Enterprise Platform Large Language Models Text generation as a tool is already being applied in journalism (news production), education (production and misuse of materials), law (drafting contracts), medicine (diagnostics), science (search and generation of scientific papers), etc.

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Unpacking the NLP Summit: The Promise and Challenges of Large Language Models

John Snow Labs

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). McKinsey & Company’s findings underscore 2023 as a landmark year for generative AI, hinting at the transformative wave ahead.

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2023 Was the Year of Large Language Models: Then and Now

ODSC - Open Data Science

The year 2023 has witnessed an unprecedented surge in the development of large language models , with new models emerging at an astonishing pace. PaLM 2 demonstrated remarkable capabilities in various NLP tasks, including text generation, language translation, and question answering.

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NLP has become much more interesting!

Ehud Reiter

There was a time around 5 years ago when I found it difficult to propose papers which I was excited by, but in the second half of 2023 I’ve been spoilt for choice, there are lots of exciting papers out there. Which G Abercrombie et al (2023). D Demszky et al (2023). Using large language models in psychology.

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6 Examples of Doman-Specific Large Language Models

ODSC - Open Data Science

Most people who have experience working with large language models such as Google’s Bard or OpenAI’s ChatGPT have worked with an LLM that is general, and not industry-specific. But as time has gone on, many industries have realized the power of these models. CaseHOLD is a new dataset for legal NLP tasks.

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Enhancing Large Language Models (LLMs) Through Self-Correction Approaches

Marktechpost

Large language models (LLMs) have achieved amazing results in a variety of Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG) tasks in recent years. Our survey comprehensively documents the MANY types of self-correction strategies.