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Beyond Search Engines: The Rise of LLM-Powered Web Browsing Agents

Unite.AI

In recent years, Natural Language Processing (NLP) has undergone a pivotal shift with the emergence of Large Language Models (LLMs) like OpenAI's GPT-3 and Google’s BERT. Using their extensive training data, LLM-based agents deeply understand language patterns, information, and contextual nuances.

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MARKLLM: An Open-Source Toolkit for LLM Watermarking

Unite.AI

LLM watermarking, which integrates imperceptible yet detectable signals within model outputs to identify text generated by LLMs, is vital for preventing the misuse of large language models. Conversely, the Christ Family alters the sampling process during LLM text generation, embedding a watermark by changing how tokens are selected.

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Build Your Own RLHF LLM — Forget Human Labelers!

Towards AI

You know, that thing OpenAI used to make GPT3.5 As an early adopter of the BERT models in 2017, I hadn’t exactly been convinced computers could interpret human language with similar granularity and contextuality as people do. Author(s): Tim Cvetko Originally published on Towards AI. into ChatGPT? Forget Human Labelers!

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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code. LLMs, such as GPT-4 , BERT , and T5 , are very powerful and versatile in Natural Language Processing (NLP). However, LLMs are also very different from other models.

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Understanding Key Terminologies in Large Language Model (LLM) Universe

Marktechpost

Heatmap representing the relative importance of terms in the context of LLMs Source: marktechpost.com 1. LLM (Large Language Model) Large Language Models (LLMs) are advanced AI systems trained on extensive text datasets to understand and generate human-like text. These models typically involve an encoder and a decoder.

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Against LLM maximalism

Explosion

I don’t want to undersell how impactful LLMs are for this sort of use-case. You can give an LLM a group of comments and ask it to summarize the texts or identify key themes. One vision for how LLMs can be used is what I’ll term LLM maximalist. If you have some task, you try to ask the LLM to do it as directly as possible.

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A General Introduction to Large Language Model (LLM)

Artificial Corner

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.