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Atrium.st - Vercel for AI agents

Published at
1/13/2025
Categories
ai
llm
openai
discuss
Author
petern
Main Article
https://dev.to/petern/atriumst-vercel-for-ai-agents-1ji0
Categories
4 categories in total
ai
open
llm
open
openai
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discuss
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Author
6 person written this
petern
open
Atrium.st - Vercel for AI agents

Hi there devs,

Atrium is an AI agent platform that enables you to quickly build, deploy and monetize your AI agents. We'd be glad to get your feedback in exchange for an Amazon Giftcard.

https://atrium.st/

llm Article's
30 articles in total
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Streaming input and output using WebSockets
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Create an agent and build a deployable notebook from it in watsonx.ai — Part 2
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How RAG works? Retrieval Augmented Generation Explained
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Create an agent and build a Notebook from it in watsonx.ai — Part 1
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Using LLM to translate in Microsoft Word locally
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AI Workflows vs AI Agents — What’s the Difference?
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Using Mistral NeMo to summarize 10+ pages in Microsoft Word locally
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Using Cloudflare Tunnel to public Ollama on the Internet
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Integrating Azure OpenAI with .NET Applications Using Microsoft.Extensions.AI
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Best Large Language Model (LLM) of 2024: ChatGPT, Gemini, and Copilot — A Comprehensive Comparison
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Empowering Your Team with Phi-4 in Microsoft Word within Your Intranet
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A Magic Line That Cuts Your LLM Latency by >40% on Amazon Bedrock
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Build an AI code review assistant with v0.dev, litellm and Agenta
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Fine-Tuning Large Language Models (LLMs) with .NET Core, Python, and Azure
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How are LLMs Transforming Search Algorithms, and How Can You Adapt Your SEO Strategy?
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Using OpenLLM in Microsoft Word locally
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Using Xinference in Microsoft Word locally
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Using Ollama in Microsoft Word locally
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Using LocalAI in Microsoft Word locally
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Using llama.cpp in Microsoft Word locally
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Using LM Studio in Microsoft Word locally
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Using AnythingLLM in Microsoft Word locally
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Using LiteLLM in Microsoft Word, locally or remotely
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Evaluation as a Business Imperative: The Survival Guide for Large Model Application Development
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Truth Tables: Foundations and Applications in Logic and Neural Networks
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I gem-packed this with how I'm leveraging LLMs in my workflow!
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Binary embedding: shrink vector storage by 95%
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Using Phi-4 in Microsoft Word locally
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Converting documents for LLM processing — A modern approach
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Atrium.st - Vercel for AI agents

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