language:
- en
tags:
- langchain
- python
- yolov8
Interplay-AppCoder a CodeGeneration LLM
Iterate’s new top-performing Interplay-AppCoder LLM scores 2.9 on usefulness and 2.7 on functionality on the ICE Benchmark Test
The world of LLMs is growing rapidly as Several new LLMs and finetunes are released daily by the open-source community, startups, and enterprises, as new models are invented to perform various novel tasks.
One of our Iterate.ai R&D Projects has been to experiment with several LLMs, then train a code generation LLM on the latest generative AI frameworks and libraries. Our goal was to generate working and updated code for generative AI projects that we build alongside our enterprise clients.
As part of the process, wWe have been fine-tuning CodeLlama -7B, 34B and Wizard Coder -15B, 34B. We combined that fine-tuning with our hand-coded dataset training on LangChain, YOLO V8, VertexAI and many other modern libraries which we use on a daily basis. We fine-tuned our work on top of WizardCoder-15B.
The result is Interplay-AppCoder LLM, a brand new high performing code generation model, which we are releasing on October 31, 2023.
Model Details
- Developed by: [Iterate.ai]
- Language(s) (NLP): [Python,Langchain,yolov8]
- Finetuned from model : [Wizardcoder-15B-v1.0]
Model Sources [optional]
- Demo [optional]: [https://appcoder.interplay.iterate.ai/]
Bias, Risks, and Limitations
[More Information Needed]
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
Training Details
Training Data
[More Information Needed]
Training Procedure
Evaluation
Testing Data, Factors & Metrics
Testing Data
[More Information Needed]
Metrics
[More Information Needed]