DB-GPT: Multi-Agent Framework - All-In-One Opensource Model!

In this video, we dive into the core features that make DB-GPT a game-changer in the world of data and AI. Whether you're building knowledge-based applications or seeking advanced business insights, DB-GPT has something to offer.
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[Link's Used]:
Github Repo: github.com/eosphoros-ai/DB-GPT
Website: dbgpt.site/
Docs: docs.dbgpt.site/docs/latest/o...
Research Paper: arxiv.org/pdf/2312.17449
*Core Capabilities of DB-GPT:*
- *RAG (Retrieval Augmented Generation):* Learn how RAG integrates retrieval and generation capabilities to build robust knowledge-based applications.
- *GBI (Generative Business Intelligence):* Explore the foundational technology behind enterprise report analysis and business insights.
- *Fine-tuning Framework:* See how DB-GPT’s fine-tuning framework achieved an impressive 82.5% accuracy rate on the Spider dataset, and how it customizes models for specific industries or tasks.
- *Data-Driven Multi-Agents Framework:* Discover the self-evolving agents that make data-driven decisions and execute tasks autonomously.
- *Data Factory:* Understand the importance of cleaning and processing reliable data in the era of large models.
- *Data Sources:* Learn how various data sources are integrated to connect production business data to DB-GPT's core capabilities.
*SubModules Overview:*
- *DB-GPT-Hub:* Dive into the high-performance Text-to-SQL workflow using Supervised Fine-Tuning (SFT) on Large Language Models (LLMs).
- *dbgpts Repository:* Explore the official repository containing data apps, AWEL operators, workflow templates, and agents built on DB-GPT.
Gain a comprehensive understanding of DB-GPT’s architecture and its applications in modern business and technology. This video is packed with detailed insights, making it a must-watch for professionals and enthusiasts in the field of AI and data science.
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*Keywords & Tags:*
DB-GPT, AI architecture, RAG, Retrieval Augmented Generation, Generative Business Intelligence, Fine-tuning Framework, Spider dataset, Multi-Agents Framework, Data Factory, DB-GPT-Hub, Text-to-SQL, Supervised Fine-Tuning, LLMs, data integration
*Hashtags:*
#DBGPT #ai #datascience #businessintelligence #machinelearning #artificialintelligence #DataDriven #technology #innovation #techinsights

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[@Derick99]

Can you make a video on examples working with csv or excell files etc

[@MoDs_3]

Thanks ❤

[@archerkee9761]

awesome, thanks for the video.

[@user-uv3nv2bc6v]

Great tip - thanks👍

[@user-uv3nv2bc6v]

👍 Its a great tip

[@dcsdvfsxd]

Bro what is ur computer specifications u do run many powerful llms?

[@intheworldofai]

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[@intheworldofai]

NEW Qwen-2 LLM: Best Opensource LLM EVER? Impressive Coding Abilities!: ruclips.net/video/4vrK_LvMHNM/видео.html

[@DevasheeshMishra]

😊

[@amrpyt]

Is it better than flowise?

[@MatichekYoutube]

similar to flowise ?

[@intheworldofai]

Qwen-Agent: Powerful Multi-Agent Framework - Function Calling, Code Interpreter, and, RAG! ruclips.net/video/Blpyurdi4dA/видео.html

[@MindSetShortsOficial]

Primeiro!

[@MyrLin8]

running on someone else machine ... same problem as usual.