Remove Auto-classification Remove Categorization Remove Chatbots
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5 Levels in AI by OpenAI: A Roadmap to Human-Level Problem Solving Capabilities

Marktechpost

In an effort to track its advancement towards creating Artificial Intelligence (AI) that can surpass human performance, OpenAI has launched a new classification system. Level 5: Organizations The highest ranking level in OpenAI’s classification is Level 5, or “Organisations.”

OpenAI 109
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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning Blog

Optionally, if Account A and Account B are part of the same AWS Organizations, and the resource sharing is enabled within AWS Organizations, then the resource sharing invitation are auto accepted without any manual intervention. It’s a binary classification problem where the goal is to predict whether a customer is a credit risk.

ML 89
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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

You can deploy this solution with just a few clicks using Amazon SageMaker JumpStart , a fully managed platform that offers state-of-the-art foundation models for various use cases such as content writing, code generation, question answering, copywriting, summarization, classification, and information retrieval.

LLM 130
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Revolutionize Customer Satisfaction with tailored reward models for your business on Amazon SageMaker

AWS Machine Learning Blog

We can categorize human feedback into two types: objective and subjective. Unlike traditional model tasks such as classification, which can be neatly benchmarked on test datasets, assessing the quality of a sprawling conversational agent is highly subjective. Objective vs. subjective human feedback Not all human feedback is the same.

LLM 106
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Deploying Large NLP Models: Infrastructure Cost Optimization

The MLOps Blog

These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera. This is especially true when the model is used for real-time applications, such as chatbots or virtual assistants. Consider ChatGPT as an example.

NLP 115
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Dialogue-guided visual language processing with Amazon SageMaker JumpStart

AWS Machine Learning Blog

Key strengths of VLP include the effective utilization of pre-trained VLMs and LLMs, enabling zero-shot or few-shot predictions without necessitating task-specific modifications, and categorizing images from a broad spectrum through casual multi-round dialogues.