Remove Conversational AI Remove Large Language Models 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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Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API

Flipboard

This makes it an ideal framework for creating conversational AI applications that require dynamic interactions. Gradios integration with powerful models like Llama 3.2 What Is Ollama and the Ollama API Functionality Ollama is an open-source framework that enables developers to run large language models (LLMs) like Llama 3.2

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ReasonFlux: Elevating LLM Reasoning with Hierarchical Template Scaling

Marktechpost

Large language models (LLMs) have demonstrated exceptional problem-solving abilities, yet complex reasoning taskssuch as competition-level mathematics or intricate code generationremain challenging. Template Trajectory Optimization : Using preference learning, the model learns to rank template sequences by their effectiveness.

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

NVIDIA

Backed by its powerful large language models (LLMs), users can query their notes and documents with ChatRTX, which can quickly generate relevant responses, while running locally on the user’s device. 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

This post shows how you can implement an AI-powered business assistant, such as a custom Google Chat app, using the power of Amazon Bedrock. This solution showcases how to bridge the gap between Google Workspace and AWS services, offering a practical approach to enhancing employee efficiency through conversational AI.

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The Plagiarism Problem: How Generative AI Models Reproduce Copyrighted Content

Unite.AI

As a result, generative AIs can unintentionally reproduce verbatim passages or paraphrase copyrighted text from their training corpora. Key Examples of AI Plagiarism Concerns around AI plagiarism emerged prominently since 2020 after GPT's release. Record metadata like licenses, tags, creators, etc. 2023; Carlini et al.,

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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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