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The Full Story of Large Language Models and RLHF

AssemblyAI

We are going to explore these and other essential questions from the ground up , without assuming prior technical knowledge in AI and machine learning. During the training process, an LM is fed with a large corpus (dataset) of text and tasked with predicting the next word in a sentence.

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The Essential Guide to Prompt Engineering in ChatGPT

Unite.AI

The secret sauce to ChatGPT's impressive performance and versatility lies in an art subtly nestled within its programming – prompt engineering. This makes us all prompt engineers to a certain degree. Venture capitalists are pouring funds into startups focusing on prompt engineering, like Vellum AI.

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Best prompting practices for using the Llama 2 Chat LLM through Amazon SageMaker JumpStart

AWS Machine Learning Blog

Llama 2 stands at the forefront of AI innovation, embodying an advanced auto-regressive language model developed on a sophisticated transformer foundation. In this post, we explore best practices for prompting the Llama 2 Chat LLM. We start by sharing some examples of what different prompt techniques look like.

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Choosing the Right Prompt for Language Models: A Key to Task-Specific Performance

Heartbeat

This level of interaction is made possible through prompt engineering, a fundamental aspect of fine-tuning language models. By carefully choosing prompts, we can shape their behavior and enhance their performance in specific tasks.

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ML and NLP Research Highlights of 2021

Sebastian Ruder

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP). In computer vision, supervised pre-trained models such as Vision Transformer [2] have been scaled up [3] and self-supervised pre-trained models have started to match their performance [4]. Credit for the title image: Liu et al.

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