Remove Computational Linguistics Remove Deep Learning Remove Large Language Models
article thumbnail

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.

article thumbnail

Large Language Models – Technical Overview

Viso.ai

What are Large Language Models (LLMs)? In generative AI, human language is perceived as a difficult data type. If a computer program is trained on enough data such that it can analyze, understand, and generate responses in natural language and other forms of content, it is called a Large Language Model (LLM).

professionals

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Overcoming The Limitations Of Large Language Models

Topbots

In the last couple of years, Large Language Models (LLMs) such as ChatGPT, T5 and LaMDA have developed amazing skills to produce human language. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages 5185–5198, Online. Association for Computational Linguistics. [2]

article thumbnail

Linguistics-aware In-context Learning with Data Augmentation (LaiDA): An AI Framework for Enhanced Metaphor Components Identification in NLP Tasks

Marktechpost

Given the intricate nature of metaphors and their reliance on context and background knowledge, MCI presents a unique challenge in computational linguistics. In recent years, deep learning has offered new possibilities for MCI. The primary issue in MCI lies in the complexity and diversity of metaphors.

NLP 64
article thumbnail

Alibaba Researchers Unveil Unicron: An AI System Designed for Efficient Self-Healing in Large-Scale Language Model Training

Marktechpost

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. Training these models, however, is challenging.

article thumbnail

ChatGPT4 still leads ChatBot/LLM Leaderboard

Bugra Akyildiz

In here, the distinction is that base models want to complete documents(with a given context) where assistant models can be used/tricked into performing tasks with prompt engineering. Large language models (LLMs) have shown promise in proving formal theorems using proof assistants such as Lean.

LLM 52
article thumbnail

68 Summaries of Machine Learning and NLP Research

Marek Rei

It is probably good to also to mention that I wrote all of these summaries myself and they are not generated by any language models. Are Emergent Abilities of Large Language Models a Mirage? Do Large Language Models Latently Perform Multi-Hop Reasoning? Here we go. NeurIPS 2023. ArXiv 2024.