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Comprehensive Guide: Top Computer Vision Resources All in One Blog

Mlearning.ai

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. Also, they will show you how huge this domain is.

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Anyword Review: Is It the Right AI Writing Tool For You?

Unite.AI

But what if there was a single platform you could use to instantly develop highly engaging content for your emails, ads, social media captions, and blog articles? What stood out to me about Anyword was its predictive performance tool, which predicts the performance of your short-form content. Excellent brand voice tools.

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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning Blog

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. When summarizing healthcare texts, pre-trained LLMs do not always achieve optimal performance. There are many prompt engineering techniques.

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RLHF vs RLAIF for language model alignment

AssemblyAI

As it turns out, the crucial factor that differentiates general-purpose LLMs (like GPT) and AI assistants (like ChatGPT) is a specific training process called Reinforcement Learning from Human Feedback. Since then, the world has been exploring what these models can do and what these capabilities mean for humanity.

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The Full Story of Large Language Models and RLHF

AssemblyAI

In the past months, an exquisitely human-centric approach called Reinforcement Learning from Human Feedback (RLHF) has rapidly emerged as a tour de force in the realm of AI alignment. What is the learning process of a language model? What is RLHF and how to make language models more aligned with human values?

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Evaluate the text summarization capabilities of LLMs for enhanced decision-making on AWS

AWS Machine Learning Blog

In the financial sector, investment banks condense earnings reports down to key takeaways to rapidly analyze quarterly performance. In this post, we explore leading approaches for evaluating summarization accuracy objectively, including ROUGE metrics, METEOR, and BERTScore.

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Unlocking the Power of KNN Algorithm in Machine Learning

Pickl AI

Summary: The KNN algorithm in machine learning presents advantages, like simplicity and versatility, and challenges, including computational burden and interpretability issues. Unlocking the Power of KNN Algorithm in Machine Learning Machine learning algorithms are significantly impacting diverse fields.