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AULA 06 MagicAI:

Orquestração com IA

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Como fazer um combo?

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https://arxiv.org/pdf/2501.04169

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https://rh20t.github.io/

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https://www.noumenal.ai/blog

https://www.youtube.com/watch?v=jsIt2sTB_vo

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https://medium.com/@kyeg/introduction-to-multi-agent-orchestration-with-agentrearrange-8d47ab9e6e40

https://www.linkedin.com/posts/igorrodrigo_agentesdeia-activity-7329812276570382336-0R4v/?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAAlHJo0Bows0ty4CeA_5WT7E1aBNOUqxEJk&utm_campaign=whatsapp

https://medium.com/@yugank.aman/multi-agent-orchestration-overview-aa7e27c4e99e

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https://www.linkedin.com/pulse/age-agent-orchestrator-shyamal-hitesh-anadkat-mapkc/

https://deepmind.google/discover/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/

https://levelup.gitconnected.com/handling-big-data-using-knowledge-graph-a-detailed-guide-55433d5ba573

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https://huggingface.co/microsoft/bitnet-b1.58-2B-4T

https://github.com/microsoft/BitNet

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https://medium.com/@kondwani0099/how-ai-agents-are-transforming-iot-a-hands-on-guide-with-arduino-code-b97ffcfa0e57

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https://pub.towardsai.net/build-your-own-arduino-rag-agent-using-python-4e2db9bb612a

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https://github.com/e2b-dev/awesome-ai-agents

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Possible uses of LLM

https://arxiv.org/html/2503.02167v1

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Possible uses of LLM

https://arxiv.org/html/2503.02167v1

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Obtaining data from IoT

https://www.techrxiv.org/users/894996/articles/1271502-llms-and-iot-a-comprehensive-survey-on-large-language-models-and-the-internet-of-things

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Starting simple with IoT and LLMs

https://medium.com/@pavelanni/geekhouse-an-llm-based-iot-project-ea5286f2ea4d

https://arxiv.org/html/2410.19223v1

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Lite architecture for a temperature sensor

https://emqx.medium.com/why-and-how-mqtt-is-used-in-ai-llm-applications-architecture-and-use-cases-c8a72cea6cd8

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Implementation on our own school

https://sites.google.com/view/projetosintegradosgeniot/in%C3%ADcio/sobre-projeto-geniiot

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Connecting sensors using AI agents

https://arxiv.org/html/2411.17722v1

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Practice with simple and free tools

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Employing RAG LLM: NotebookLM

https://notebooklm.google.com/

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Inserting data into a Notebook

1

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Creating a new Notebook

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2

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Inserting data into a notebook

1

2

3

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Selecting a source for the notebook

1

2

3

4

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Could create a mental map of a video from YouTube

Vídeo YouTube

https://www.youtube.com/watch?v=qiIymkqU59g&t=1s

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2

3

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Navigating a mind map

3

4

5

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Generate

Capstone

Code

Capstone

Docs

Site

Text

Image

Code

GPT2

Interpret

General

URLs

Acquisition

Separate

Sources

Summary

Summary

LLama

LLM

AI

Analysis

Code

It could also be employed to generate code

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https://notebooklm.google.com/notebook/c0ad9042-37cf-4d05-a389-1810158ed0e1

Example of generation of Python code

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Combo: Google Colab + Gemini + ChatGPT

https://www.linkedin.com/posts/anibal-azevedo-95116744_googlecolab-gemini-chatgpt-activity-7329474253903294464-Flbn?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAAlHJo0Bows0ty4CeA_5WT7E1aBNOUqxEJk

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Coordenando operações

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https://www.youtube.com/watch?v=9lPzsELu3S8&list=PLH9knZH6lcgoyNf-DMjDrmenGod5c1Pml&index=11

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