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2 weeks ago | 
planetachatbot.com | Anthony Alcaraz
La arquitectura de datos empresarial actual no se diseñó para la IA de los agentes. Se construyó para una época en la que los datos servían como un registro histórico, estático, compartimentado y recuperado principalmente a través de consultas explícitas.
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3 weeks ago | 
medium.com | Anthony Alcaraz
While most headlines focus on the latest features or image generation breakthroughs, a quiet revolution is taking place in the architecture of AI systems. We’re witnessing the evolution from isolated, task-specific AI models to dynamic, interconnected agent ecosystems capable of autonomous decision-making and collaboration.
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3 weeks ago | 
medium.com | Anthony Alcaraz
How AI is learning to build its own conceptual frameworksFor decades, knowledge representation has been a foundational challenge in artificial intelligence. Traditional approaches required human experts to meticulously craft ontologies and knowledge graphs before these structures could be populated with information. This manual process created a bottleneck that limited the application of symbolic knowledge systems to narrow domains where the investment in knowledge engineering could be justified.
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3 weeks ago | 
medium.com | Anthony Alcaraz
The race to build autonomous AI agents that can reliably plan, reason, and act in the real world is heating up. Tech companies are investing billions in developing systems that can go beyond answering questions to becoming trusted digital assistants that handle complex tasks with minimal human supervision.
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Sep 12, 2024 | 
medium.com | Anthony Alcaraz
The future of AI agents — autonomous systems capable of perceiving, reasoning, and acting in complex environments — lies at the intersection of three powerful paradigms. Reinforcement learning, program induction, and large language models are converging as the key pillars enabling more capable and flexible AI agents.
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Sep 2, 2024 | 
medium.com | Anthony Alcaraz
Large language models (LLMs) have emerged as powerful tools capable of generating human-like text, solving complex problems, and assisting with a wide array of tasks. However, as organizations rush to implement these AI marvels, a critical challenge has emerged: how to effectively integrate LLMs into existing workflows while maintaining their powerful reasoning capabilities.
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Aug 30, 2024 | 
medium.com | Anthony Alcaraz
Being able to ask your company’s database complex questions in plain English and getting accurate, detailed answers within seconds will be a key value of GenAI for businesses. This long-held dream of natural language interfaces to databases is rapidly becoming reality, thanks to advances in artificial intelligence and natural language processing. At the forefront of this revolution is Text-to-SQL technology, which aims to translate natural language queries into SQL database queries.
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Aug 29, 2024 | 
medium.com | Anthony Alcaraz
The AI revolution is accelerating at a breathtaking pace, driven by a perfect storm of technological advancements and economic shifts. Over the past two years, we’ve witnessed the rise of large language models (LLMs) with increasingly impressive capabilities, transforming everything from content creation to code generation. But a less heralded development may prove even more transformative: the costs of deploying these powerful AI models are plummeting at an unprecedented rate.
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Aug 29, 2024 | 
medium.com | Anthony Alcaraz
Handling lengthy inputs has long challenged even advanced AI. Faced with expansive documents, models falter, losing important details and struggling to connect distant concepts. As computational costs skyrocket, these limitations have constrained AI’s real-world utility for analyzing extensive texts and knowledge bases. But change is coming. Innovative approaches to long context processing are expanding AI capabilities.
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Aug 28, 2024 | 
medium.com | Anthony Alcaraz
To really support decision making, AI system not only need to make predictions, but also knows when it’s uncertain and can explain why. As artificial intelligence becomes increasingly integrated into high-stakes domains like healthcare, finance, and criminal justice, the need for AI systems that can quantify and communicate their own uncertainty is more critical than ever. This is where conformal prediction enters the picture. Conformal prediction is powerful.
