Lo más interesante es que todos estos ejemplos que te he compartido no son trabajos de los últimos meses, sino de la última semana. E ilustra bien por qué la tesis de tu hilo es incorrecta en gran medida. No es que no hayan avances, pruebas de concepto, etc. Claro que los hay, y
GENERATIVE AI
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Micromanagement vs Engineering Detail in AI Leadership
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I loved this podcast with @elonmusk
. He’s just about right. I especially liked his comment about micromanagement. I too have been told this, but I feel micromanagement is often confused with paying attention to engineering detail. In AI and tech, VPs should be able to sit with -
Lessons Learned Building with Large Language Models
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What we learned from a year of building with LLMs. A great read for anyone interested in building things with large language models. → https://
oreilly.com/radar/what-we-
learned-from-a-year-of-building-with-llms-part-i/
… https://
oreilly.com/radar/what-we-
learned-from-a-year-of-building-with-llms-part-i/
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LLM Apps with RAG Demos and Latest AI News
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Find all the awesome LLM Apps demo with RAG along with latest AI news and tools in one place: https://
unwindai.substack.com -
LLM Apps Demo with RAG and Latest AI News
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Find all the awesome LLM Apps demo with RAG along with latest AI news and tools in one place: https://
unwindai.substack.com -
Using Codestral to Implement Code Changes Efficiently
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Prompt codestral to make those changes in the code and it should be able to that.
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AI Insurance Sector Faces New Technology Risks
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As generative AI becomes more prevalent, the insurance sector faces new risks, especially in technology. Addressing these emerging challenges is crucial for ensuring safe and effective AI adoption across industries.
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AI Generates Full Applications from Single Natural Language Prompts
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It generates the python code to create a full-fledged application just from a single prompt.
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LLM’s Primary Limitation: Unable to Distinguish Facts
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The #1 limitation of an LLM is that it doesn't know what a fact is.