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GameSense: The LLM That Understands Gamers

Elevate your gaming platform with an AI that translates player language into actionable data. A model that understands gaming terminology, extracts key attributes, and structures conversations for intelligent recommendations and support.
Project
GameSense: The LLM That Understands Gamers
project id
gamesense-the-llm-that-understands-gamers
Use this id to create a new project in ZenML
GITHUB REPOSITORY
https://github.com/zenml-io/zenml-projects/tree/main/gamesense
Pipelines

LLM PEFT Full Finetune

Pipeline for finetuning an LLM with peft. It runs prepare_data, finetune, evaluate_model, and promote steps.

Recommended Stack

Stack Components

  • Orchestrator: default
  • Artifact Store: default
  • Step Operator: default
TOOLS
zenml
huggingface
pytorch
accelerate
peft
phi-2
Tags
Natural Language Processing
Parameter-Efficient Fine-tuning
LoRA
LLM
Distributed Training
Details

GameSense is a specialized language model that understands gaming terminology and player communication, transforming casual conversations into structured, actionable data for gaming platforms.

What It Does

GameSense translates player language into valuable insights by recognizing gaming jargon, extracting player sentiment, and structuring unstructured conversations. It powers personalized responses and intelligent recommendations that resonate with gamers, enhancing support systems and community interactions.

How It Works

  • Processes gaming conversations and tokenizes them for model training
  • Fine-tunes powerful foundation models like Microsoft's Phi-2 or Llama 3.1 using Parameter-Efficient Fine-Tuning
  • Evaluates model performance against gaming-specific benchmarks to ensure quality
  • Deploys only high-performing models to production environments
  • Monitors ongoing performance with industry-standard metrics like ROUGE scores
  • Adapts to specific gaming platforms through customizable data preparation and training
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