Remove p natural-harm
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How to tune LLM Parameters for optimal performance

Data Science Dojo

A brief introduction to Large Language Model parameters Large language model parameters refer to the configuration settings and components that define the behavior of a large language model (LLM), which is a type of artificial intelligence model used for natural language processing tasks. If you set Top-p to 0.9,

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LLM Defense Strategies

Becoming Human

Towards Improving the Safety of LLMs The field of Natural Language Processing has undergone a revolutionary transformation with the advent of Large Language Models (LLMs). Safety Instruction (Inst) Instruction-tuned LLMs have shown a remarkable ability to follow natural language instructions. Self-Safety Check of Input (S.

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Generative AI Terminology — An Evolving Taxonomy To Get You Started

Towards AI

GPT4, Stable Diffusion, Llama, BERT, Gemini Large Language Models (LLMs) Foundation models, trained on the “Transformer Architecture”, that can perform a wide array of Natural Language Processing (NLP) tasks like text generation, classification, summarisation etc. Examples: GPT 3.5,

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Introduction to Causality in Machine Learning

PyImageSearch

We can do more harm through our model if we do not look for hidden causes and their effects. Some ways we can answer a counterfactual question are: Randomization Natural Experiments Conditioning Interestingly, the methods become much harder to use as we go down the list. This is called Counterfactual Thinking. Gosthipaty and R.

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The Full Story of Large Language Models and RLHF

Hacker News

A New Era of Language Intelligence At its essence, ChatGPT belongs to a class of AI systems called Large Language Models , which can perform an outstanding variety of cognitive tasks involving natural language. This concept is not exclusive to natural language processing, and has also been employed in other domains.

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Computer Vision and Deep Learning for Education

PyImageSearch

For example, they can scan test papers with the help of natural language processing (NLP) algorithms to detect correct answers and grade them accordingly. It can also generate an alert if it notices a student searching for self-harm. Citation Information Mangla, P. Learn more about our consulting services. Gosthipaty, S.

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C++ safety, in context

Hacker News

Software safety ” (or “life safety” or similar) means making software free from unacceptable risk of causing unintended harm to humans, property, or the environment. Cyberattacks are urgent, so it’s natural that recent discussions have focused more on security and CVEs first. Terminology (see ISO/IEC 23643:2020 ).

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