Remove Computational Linguistics Remove Natural Language Processing Remove OpenAI
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This AI Paper from Cohere Enhances Language Model Stability with Automated Detection of Under-trained Tokens in LLMs

Marktechpost

Tokenization is essential in computational linguistics, particularly in the training and functionality of large language models (LLMs). This process involves dissecting text into manageable pieces or tokens, which is foundational for model training and operations. Check out the Paper.

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All Languages Are NOT Created (Tokenized) Equal

Topbots

This prompted me to concentrate on OpenAI models, including GPT-2 and its successors. Second, since we lack insight into ChatGPT’s full training dataset, investigating OpenAI’s black box models and tokenizers help to better understand their behaviors and outputs. This is the encoding used by OpenAI for their ChatGPT models.

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Best Large Language Models & Frameworks of 2023

AssemblyAI

However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). These feats of computational linguistics have redefined our understanding of machine-human interactions and paved the way for brand-new digital solutions and communications.

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A Gentle Introduction to GPTs

Mlearning.ai

You don’t need to have a PhD to understand the billion parameter language model GPT is a general-purpose natural language processing model that revolutionized the landscape of AI. GPT-3 is a autoregressive language model created by OpenAI, released in 2020 . What is GPT-3?

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Large Language Models – Technical Overview

Viso.ai

LLMs are pre-trained on extensive data on the web which shows results after comprehending complexity, pattern, and relation in the language. LLMs apply powerful Natural Language Processing (NLP), machine translation, and Visual Question Answering (VQA).

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Overcoming The Limitations Of Large Language Models

Topbots

In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. Association for Computational Linguistics. [2] Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems. SKILL: Structured Knowledge Infusion for Large Language Models.

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The State of Multilingual AI

Sebastian Ruder

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. In Findings of the Association for Computational Linguistics: ACL 2022 (pp. 2340–2354). Winata, G.