-
lol.
`Incase you're curious we use named entity recognition models to extract key words / phrases. Then use bm25 + vector search to identify the top results! `
Collections of Papers
- https://…
-
I have down model weights in my computer,but i don't how to use LOCAL LLMS and Embeddings for ragas according to
Here is My code but it did't work
```
import typing as t
import asyncio
from ty…
-
### System Info
Langchain Version: 0.0.245
model: vicuna-13b-v1.5
### Who can help?
_No response_
### Information
- [ ] The official example notebooks/scripts
- [X] My own modified sc…
-
### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a sim…
-
V4 API,支持了System Prompt、Function Call、Retrieval、Web_Search等新功能
还有一些细节,比如请求参数能控制max_tokens,stop_words 也比较实用。
-
As native IFC becomes more of a thing with larger datasets, it makes more sense to treat IFC as a database with portions queried and manipulated. I have an IFC model that is 2gb coming from Synchro (i…
Moult updated
1 month ago
-
Hi @HuskyInSalt, I saw CRAG very interestingly, and would like to introduce to my lab.
However, I have some questions about the experiment.
1. I can see difference between Table1 and Table2, even …
-
1. Prompt Engineering
a. Zero-shot learning
Few-shot learning
Select appropriate key wors
Do not change weights
2. Fine-tuning
a. Instruction-based
b. Domain based
Change the …
-
**Description**
[Add a description of the feature]
**Why is this needed**
[If you have a concrete use case, add details here.]
**Implementation details**
[If known, describe how this change s…
-
**Describe the feature you'd like**
I am requesting support for implementing Reciprocal Rank Fusion Retriever using Azure OpenAI's GPT-3.5 Turbo Instruct model within Flowise. The current Azure OpenA…