AssemblyAI

SEPTEMBER 18, 2023

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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Viso.ai

JULY 18, 2024

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).

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ODSC - Open Data Science

APRIL 3, 2023

One of the benefits of multi-agent systems, and in particular MetaQA, is that we can reuse pretrained agents already available in online model hubs, such as SQuARE. Moreover, combining expert agents is an immensely easier task to learn by neural networks than end-to-end QA. This makes multi-agent systems very cheap to train.

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Marktechpost

AUGUST 15, 2024

Given the intricate nature of metaphors and their reliance on context and background knowledge, MCI presents a unique challenge in computational linguistics. Neural network models based on word embeddings and sequence models have shown promise in enhancing metaphor recognition capabilities.

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Bugra Akyildiz

JULY 16, 2023

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.

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Marek Rei

NOVEMBER 4, 2024

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.

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John Snow Labs

DECEMBER 26, 2023

Additionally, PyTorch’s flexibility and efficiency will enable us to fine-tune the model’s parameters and optimize its performance, ensuring precise sentiment classification for diverse textual inputs. Sentiment Analysis Using Simplified Long Short-term Memory Recurrent Neural Networks. abs/2005.03993 Andrew L. Maas, Raymond E.

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