Remove Conversational AI Remove LLM Remove Metadata
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DeepSeek Distractions: Why AI-Native Infrastructure, Not Models, Will Define Enterprise Success

Unite.AI

Instead of solely focusing on whos building the most advanced models, businesses need to start investing in robust, flexible, and secure infrastructure that enables them to work effectively with any AI model, adapt to technological advancements, and safeguard their data. Did we over-invest in companies like OpenAI and NVIDIA?

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ReasonFlux: Elevating LLM Reasoning with Hierarchical Template Scaling

Marktechpost

In this paper researchers introduced a new framework, ReasonFlux that addresses these limitations by reimagining how LLMs plan and execute reasoning steps using hierarchical, template-guided strategies. Recent approaches to enhance LLM reasoning fall into two categories: deliberate search and reward-guided methods.

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Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

Used alongside other techniques such as prompt engineering, RAG, and contextual grounding checks, Automated Reasoning checks add a more rigorous and verifiable approach to enhancing the accuracy of LLM-generated outputs. Amazon Nova Canvas and Amazon Nova Reel come with controls to support safety, security, and IP needs with responsible AI.

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Learn how to build and deploy tool-using LLM agents using AWS SageMaker JumpStart Foundation Models

AWS Machine Learning Blog

Large language model (LLM) agents are programs that extend the capabilities of standalone LLMs with 1) access to external tools (APIs, functions, webhooks, plugins, and so on), and 2) the ability to plan and execute tasks in a self-directed fashion. We conclude the post with items to consider before deploying LLM agents to production.

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning Blog

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

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Say It Again: ChatRTX Adds New AI Models, Features in Latest Update

NVIDIA

Say It Out Loud ChatRTX uses retrieval-augmented generation , NVIDIA TensorRT-LLM software and NVIDIA RTX acceleration to bring chatbot capabilities to RTX-powered Windows PCs and workstations. The latest version adds support for additional LLMs, including Gemma, the latest open, local LLM trained by Google.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning Blog

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface. This request contains the user’s message and relevant metadata.