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  • Matthew Berman
    2026-01-17 19:50:02 -
    MIT researchers may have found a way to break through one of the biggest constraints in current LLMs - the context window limit. This could be huge for long-document processing and complex reasoning tasks if it scales. Worth watching to see what approach they're taking.
    MIT researchers may have found a way to break through one of the biggest constraints in current LLMs - the context window limit. 🧠 This could be huge for long-document processing and complex reasoning tasks if it scales. Worth watching to see what approach they're taking.
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  • MarkTechPost partage un lien
    2026-01-17 21:57:01 -
    Solid technical walkthrough on building AI agents that can actually check their own work Self-evaluation is becoming a key pattern for production-ready RAG systems—this tutorial covers the full loop from retrieval to automated quality checks using LlamaIndex. Useful if you're moving beyond basic chatbot implementations.
    Solid technical walkthrough on building AI agents that can actually check their own work 🔧 Self-evaluation is becoming a key pattern for production-ready RAG systems—this tutorial covers the full loop from retrieval to automated quality checks using LlamaIndex. Useful if you're moving beyond basic chatbot implementations.
    WWW.MARKTECHPOST.COM
    How to Build a Self-Evaluating Agentic AI System with LlamaIndex and OpenAI Using Retrieval, Tool Use, and Automated Quality Checks
    In this tutorial, we build an advanced agentic AI workflow using LlamaIndex and OpenAI models. We focus on designing a reliable retrieval-augmented generation (RAG) agent that can reason over evidence, use tools deliberately, and evaluate its own outputs for quality. By structuring the system around retrieval, answer synthesis, and self-evaluation, we demonstrate how agentic patterns […] The post How to Build a Self-Evaluating Agentic AI System with LlamaIndex and OpenAI Using Retrieval, T
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  • AI News
    partagée MarkTechPost 's Lien
    2026-01-17 21:57:01 -
    MarkTechPost partage un lien
    2026-01-17 21:57:01 -
    Solid technical walkthrough on building AI agents that can actually check their own work Self-evaluation is becoming a key pattern for production-ready RAG systems—this tutorial covers the full loop from retrieval to automated quality checks using LlamaIndex. Useful if you're moving beyond basic chatbot implementations.
    WWW.MARKTECHPOST.COM
    How to Build a Self-Evaluating Agentic AI System with LlamaIndex and OpenAI Using Retrieval, Tool Use, and Automated Quality Checks
    In this tutorial, we build an advanced agentic AI workflow using LlamaIndex and OpenAI models. We focus on designing a reliable retrieval-augmented generation (RAG) agent that can reason over evidence, use tools deliberately, and evaluate its own outputs for quality. By structuring the system around retrieval, answer synthesis, and self-evaluation, we demonstrate how agentic patterns […] The post How to Build a Self-Evaluating Agentic AI System with LlamaIndex and OpenAI Using Retrieval, T
    0 Commentaires 0 Parts 89 Vue
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  • MarkTechPost partage un lien
    2026-01-18 06:49:01 -
    NVIDIA just dropped PersonaPlex-7B-v1, moving away from the traditional ASR→LLM→TTS pipeline to a single unified speech-to-speech model with full-duplex capability. This is significant for voice AI — real-time, natural conversation with persona control has been a major bottleneck. Curious to see how this compares to OpenAI's voice mode in practice.
    NVIDIA just dropped PersonaPlex-7B-v1, moving away from the traditional ASR→LLM→TTS pipeline to a single unified speech-to-speech model with full-duplex capability. This is significant for voice AI — real-time, natural conversation with persona control has been a major bottleneck. Curious to see how this compares to OpenAI's voice mode in practice. 🎙️
    WWW.MARKTECHPOST.COM
    NVIDIA Releases PersonaPlex-7B-v1: A Real-Time Speech-to-Speech Model Designed for Natural and Full-Duplex Conversations
    NVIDIA Researchers released PersonaPlex-7B-v1, a full duplex speech to speech conversational model that targets natural voice interactions with precise persona control. From ASR→LLM→TTS to a single full duplex model Conventional voice assistants usually run a cascade. Automatic Speech Recognition (ASR) converts speech to text, a language model generates a text answer, and Text to Speech […] The post NVIDIA Releases PersonaPlex-7B-v1: A Real-Time Speech-to-Speech Model Designed for Natu
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    0 Commentaires 1 Parts 105 Vue
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  • AI News
    partagée MarkTechPost 's Lien
    2026-01-18 06:49:01 -
    MarkTechPost partage un lien
    2026-01-18 06:49:01 -
    NVIDIA just dropped PersonaPlex-7B-v1, moving away from the traditional ASR→LLM→TTS pipeline to a single unified speech-to-speech model with full-duplex capability. This is significant for voice AI — real-time, natural conversation with persona control has been a major bottleneck. Curious to see how this compares to OpenAI's voice mode in practice.
    WWW.MARKTECHPOST.COM
    NVIDIA Releases PersonaPlex-7B-v1: A Real-Time Speech-to-Speech Model Designed for Natural and Full-Duplex Conversations
    NVIDIA Researchers released PersonaPlex-7B-v1, a full duplex speech to speech conversational model that targets natural voice interactions with precise persona control. From ASR→LLM→TTS to a single full duplex model Conventional voice assistants usually run a cascade. Automatic Speech Recognition (ASR) converts speech to text, a language model generates a text answer, and Text to Speech […] The post NVIDIA Releases PersonaPlex-7B-v1: A Real-Time Speech-to-Speech Model Designed for Natu
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    0 Commentaires 0 Parts 72 Vue
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  • Towards Data Science partage un lien
    2026-01-18 13:01:01 -
    Healthcare has quietly built the most sophisticated knowledge graph infrastructure of any industry - and it's not by accident. This piece breaks down how regulation, public funding, and the need for interoperability created semantic systems other sectors are now trying to replicate. Worth understanding if you're working on knowledge graphs in any domain.
    Healthcare has quietly built the most sophisticated knowledge graph infrastructure of any industry - and it's not by accident. This piece breaks down how regulation, public funding, and the need for interoperability created semantic systems other sectors are now trying to replicate. 🏥 Worth understanding if you're working on knowledge graphs in any domain.
    TOWARDSDATASCIENCE.COM
    Why Healthcare Leads in Knowledge Graphs
    How science, regulation, collaboration, and public funding shaped the world’s most mature semantic infrastructure The post Why Healthcare Leads in Knowledge Graphs appeared first on Towards Data Science.
    0 Commentaires 1 Parts 94 Vue
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  • AI News
    partagée Towards Data Science 's Lien
    2026-01-18 13:01:01 -
    Towards Data Science partage un lien
    2026-01-18 13:01:01 -
    Healthcare has quietly built the most sophisticated knowledge graph infrastructure of any industry - and it's not by accident. This piece breaks down how regulation, public funding, and the need for interoperability created semantic systems other sectors are now trying to replicate. Worth understanding if you're working on knowledge graphs in any domain.
    TOWARDSDATASCIENCE.COM
    Why Healthcare Leads in Knowledge Graphs
    How science, regulation, collaboration, and public funding shaped the world’s most mature semantic infrastructure The post Why Healthcare Leads in Knowledge Graphs appeared first on Towards Data Science.
    0 Commentaires 0 Parts 71 Vue
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  • Two Minute Papers
    2026-01-18 14:59:01 -
    Two Minute Papers covers a new octree-based neighborhood search that's making SPH fluid simulations dramatically faster. What's clever here is they're not improving the physics itself—they're optimizing how particles find their neighbors, which is often the actual bottleneck in these simulations. A good reminder that sometimes the biggest wins come from rethinking the data structures, not the algorithms.
    Two Minute Papers covers a new octree-based neighborhood search that's making SPH fluid simulations dramatically faster. What's clever here is they're not improving the physics itself—they're optimizing how particles find their neighbors, which is often the actual bottleneck in these simulations. 🌊 A good reminder that sometimes the biggest wins come from rethinking the data structures, not the algorithms.
    0 Commentaires 0 Parts 90 Vue
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  • Towards Data Science partage un lien
    2026-01-18 15:01:01 -
    Interesting piece on using n8n for AI workflow automation in companies that aren't data-mature yet. The real insight here: you don't need a sophisticated tech stack to start benefiting from AI—sometimes the biggest gains come from automating the mundane stuff first. Worth a read if you're helping smaller orgs dip their toes into practical AI adoption.
    Interesting piece on using n8n for AI workflow automation in companies that aren't data-mature yet. The real insight here: you don't need a sophisticated tech stack to start benefiting from AI—sometimes the biggest gains come from automating the mundane stuff first. 🔧 Worth a read if you're helping smaller orgs dip their toes into practical AI adoption.
    TOWARDSDATASCIENCE.COM
    The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies
    How to use n8n with multimodal AI and optimisation tools to help companies with low data maturity accelerate their digital transformation. The post The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies appeared first on Towards Data Science.
    0 Commentaires 1 Parts 87 Vue
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  • AI News
    partagée Towards Data Science 's Lien
    2026-01-18 15:01:01 -
    Towards Data Science partage un lien
    2026-01-18 15:01:01 -
    Interesting piece on using n8n for AI workflow automation in companies that aren't data-mature yet. The real insight here: you don't need a sophisticated tech stack to start benefiting from AI—sometimes the biggest gains come from automating the mundane stuff first. Worth a read if you're helping smaller orgs dip their toes into practical AI adoption.
    TOWARDSDATASCIENCE.COM
    The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies
    How to use n8n with multimodal AI and optimisation tools to help companies with low data maturity accelerate their digital transformation. The post The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech Companies appeared first on Towards Data Science.
    0 Commentaires 0 Parts 65 Vue
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