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docs: corrected all grammatical errors in README.md

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Aditya Aryaman Das
2023-10-30 13:33:21 +05:30
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@@ -107,11 +107,11 @@ Currently, we have released multiple key features, which are listed below to dem
- Multi-Agents&Plugins
Supports custom plug-ins to perform tasks, natively supports the Auto-GPT plug-in model, and the Agents protocol adopts the Agent Protocol standard
It supports custom plug-ins to perform tasks, natively supports the Auto-GPT plug-in model, and the Agents protocol adopts the Agent Protocol standard.
- Fine-tuning text2SQL
An automated fine-tuning lightweight framework built around large language models, Text2SQL data sets, LoRA/QLoRA/Pturning and other fine-tuning methods, making TextSQL fine-tuning as convenient as an assembly line. [DB-GPT-Hub](https://github.com/eosphoros-ai/DB-GPT-Hub)
An automated fine-tuning lightweight framework built around large language models, Text2SQL data sets, LoRA/QLoRA/Pturning, and other fine-tuning methods, making TextSQL fine-tuning as convenient as an assembly line. [DB-GPT-Hub](https://github.com/eosphoros-ai/DB-GPT-Hub)
- Multi LLMs Support, Supports multiple large language models, currently supporting
@@ -141,7 +141,7 @@ Currently, we have released multiple key features, which are listed below to dem
- [Llama2-Chinese-13b-Chat](https://huggingface.co/FlagAlpha/Llama2-Chinese-13b-Chat)
- [OpenLLaMa OpenInstruct](https://huggingface.co/VMware/open-llama-7b-open-instruct)
etc.
Etc.
- Support API Proxy LLMs
- [x] [ChatGPT](https://api.openai.com/)
@@ -151,7 +151,7 @@ Currently, we have released multiple key features, which are listed below to dem
- Privacy and security
The privacy and security of data are ensured through various technologies such as privatized large models and proxy desensitization.
The privacy and security of data are ensured through various technologies, such as privatized large models and proxy desensitization.
- Support Datasources
@@ -185,7 +185,7 @@ Is the architecture of the entire DB-GPT shown in the following figure:
The core capabilities mainly consist of the following parts:
1. Multi-Models: Support multi-LLMs, such as LLaMA/LLaMA2、CodeLLaMA、ChatGLM, QWen、Vicuna and proxy model ChatGPT、Baichuan、tongyi、wenxin etc
2. Knowledge Based QA: You can perform high-quality intelligent Q&A based on local documents such as pdf, word, excel and other data.
2. Knowledge-Based QA: You can perform high-quality intelligent Q&A based on local documents such as PDF, word, excel, and other data.
3. Embedding: Unified data vector storage and indexing, Embed data as vectors and store them in vector databases, providing content similarity search.
4. Multi-Datasources: Used to connect different modules and data sources to achieve data flow and interaction.
5. Multi-Agents: Provides Agent and plugin mechanisms, allowing users to customize and enhance the system's behavior.
@@ -199,7 +199,7 @@ The core capabilities mainly consist of the following parts:
### SubModule
- [DB-GPT-Hub](https://github.com/eosphoros-ai/DB-GPT-Hub) Text-to-SQL performance by applying Supervised Fine-Tuning (SFT) on large language models.
- [DB-GPT-Plugins](https://github.com/eosphoros-ai/DB-GPT-Plugins) DB-GPT Plugins, Can run autogpt plugin directly
- [DB-GPT-Plugins](https://github.com/eosphoros-ai/DB-GPT-Plugins) DB-GPT Plugins Can run autogpt plugin directly
- [DB-GPT-Web](https://github.com/eosphoros-ai/DB-GPT-Web) ChatUI for DB-GPT
## Image
@@ -213,7 +213,7 @@ The core capabilities mainly consist of the following parts:
## Contribution
- Please run `black .` before submitting the code. contributing guidelines, [how to contribution](https://github.com/csunny/DB-GPT/blob/main/CONTRIBUTING.md)
- Please run `black .` before submitting the code. Contributing guidelines, [how to contribution](https://github.com/csunny/DB-GPT/blob/main/CONTRIBUTING.md)
## RoadMap
@@ -224,7 +224,7 @@ The core capabilities mainly consist of the following parts:
### KBQA RAG optimization
- [x] Multi Documents
- [x] PDF
- [x] Excel, csv
- [x] Excel, CSV
- [x] Word
- [x] Text
- [x] MarkDown
@@ -235,7 +235,7 @@ The core capabilities mainly consist of the following parts:
- [ ] Graph Database
- [ ] Neo4j Graph
- [ ] Nebula Graph
- [x] Multi Vector Database
- [x] Multi-Vector Database
- [x] Chroma
- [x] Milvus
- [x] Weaviate