-
-
- Llama : https://llama.meta.com/docs/how-to-guides/fine-tuning
- Quantization : 실수형 변수(float)를 정수형 변수(int)로 변환
- 효과
- 모델 사이즈 축소
- 모델 연산량 감소
- 효율적인 하드웨어 사용
- Parameter Efficient Fi…
-
So far with the example of fine tuning I see examples of summarisation, chatbot based on specific use cases etc. However, I want to build the a chatbot based on my own private data (100s of PDF & wor…
-
Do you plan to develop a comfyui plugin?
Or do you think using negative prompt is enough?
-
# Bayesian beagle - Prompt Weight Experiments for LLM Instruction Fine-Tuning
Study examines impact of prompt token classification loss weighting on LLaMA models fine-tuned on instruction tasks. Resu…
-
Hello,
The outputs of both `run_prompt_finetune.py` and `run_prompt_finetune_test.py` showed that the models always predicted positive labels. I tried both BERT and RoBERTa as the PLM.
There's …
-
I had a question regarding LoRA support for image classification and segmentation. I understand that LoRA support is available for both as specified in the following tutorials:
https://github.com/hug…
-
GraphRAG does not explicitly support any particular language, however, the prompts are written in English and most of our evaluation has been done using English-language datasets. Many users would lik…
-
All possible Generative AI information can be put here
```mermaid
flowchart LR;
prompts --> LLM
```
Some useful links:
- https://learn.microsoft.com/en-us/dotnet/ai/conceptual/how-genai-and-…
-
cc @GautamR-Samagra
# Tasks
- [x] Generating question answer chunks (Global) from agri pdfs.
- [x] Using Raptor to cluster chunks and GPT(autotune) to create more context rich question answer…