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| | www.eliza-ng.me
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| | Introduction: The emergence of language models, such as the GPT series by OpenAI, has brought significant advancements in natural language processing. These models have showcased impressive capabilities in various tasks, such as text generation, summarization, and autocompletion. However, when it comes to solving complex mathematical problems, these models fall short of expectations. In this article, we explore the reasons behind the limitations faced by language models in mathematical reasoning and the necessity of utilizing alternative approaches.
| | www.screamingatmyscreen.com
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| | Timo Zimmermann talking about software engineering, leading teams, consulting and start ups.
| | cube.dev
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| | Snowflake offers Anthropic Claude 3.5 Sonnet+ models on Snowflake Cortex used to power Cube's AI API
| | blog.prezi.com
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| While AI is being used in all industries across the board, there is a strong case for AI belonging in the classroom. Click here for more.