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OpenAI announces GPT-4.5, warns it’s not a frontier AI model

Flipboard

today, its newest and largest AI language model. OpenAI is calling the release its most knowledgeable model yet, but initially warned that GPT-4.5 is not a frontier model and might not OpenAI is launching GPT-4.5 will be available as a research preview for ChatGPT Pro users to start.

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Will generative AI live up to its hype?

IBM Journey to AI blog

Many larger businesses and local governments have already successfully adopted gen AI to answer some of their challenges, whether to facilitate the analysis of customer data , enhance customer care , or improve knowledge modeling efficiency. “How can we operationalize AI if you’re already behind on trust?

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Anthropic Claude 3.5 Sonnet ranks number 1 for business and finance in S&P AI Benchmarks by Kensho

AWS Machine Learning Blog

In the financial services industry, we hear customers ask which model to choose for their financial domain generative artificial intelligence (AI) applications. These applications require the LLMs to have requisite domain knowledge and be able to reason about numeric data to calculate metrics and extract insights.

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Copyright, AI, and Provenance

O'Reilly Media

What should copyright law mean in the age of artificial intelligence? In an article in The New Yorker , Jaron Lanier introduces the idea of data dignity, which implicitly distinguishes between training a model and generating output using a model. How do we make sense of this?

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What is Retrieval Augmented Generation (RAG)?

Pickl AI

This hybrid model addresses the limitations of traditional generative systems. Introduction Retrieval Augmented Generation (RAG) represents a groundbreaking approach to artificial intelligence. Unlike standalone models, RAG enhances traditional generative AI by leveraging external knowledge sources.

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From Deep Knowledge Tracing to DKT2: A Leap Forward in Educational AI

Marktechpost

However, recent advancements in deep sequential KT models, such as Attentive Knowledge Tracing (AKT), have increasingly prioritized predictive performance over practical applicability and comprehensive knowledge modeling.

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Best practices to build generative AI applications on AWS

AWS Machine Learning Blog

The automated data processing and API calling also enables FM to deliver updated, tailored answers and perform actual tasks by using proprietary knowledge. Developers can now focus on their core applications rather than routine plumbing.