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README.md
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# Interplay-AppCoder a CodeGeneration LLM
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**Iterate’s new top-performing Interplay-AppCoder LLM scores 2.9 on usefulness and 2.7 on functionality on the ICE Benchmark Test**
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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.
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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.
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## Model Details
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The base model which Interplay-Appcoder is based on: Wizardcoder-15B-v1.0
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- **Developed by:** [
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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---
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# Interplay-AppCoder a CodeGeneration LLM
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**Iterate’s new top-performing Interplay-AppCoder LLM scores 2.9 on usefulness and 2.7 on functionality on the ICE Benchmark Test**
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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.
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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.
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## Model Details
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- **Developed by:** [Iterate.ai]
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- **Language(s) (NLP):** [Python,Langchain,yolov8]
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- **Finetuned from model :** [Wizardcoder-15B-v1.0]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Demo [optional]:** [https://appcoder.interplay.iterate.ai/]
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## Bias, Risks, and Limitations
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