plato-neural 0.2.0

PLATO Neural Inference Engine — fine-tuned LLM for PLATO knowledge scoring, generation, and Q&A

PLATO Neural v0.2.0

Neural inference engine for the PLATO knowledge network. Fine-tuned Qwen2.5-0.5B for tile scoring, Q&A, gap detection, and tile generation.

Install

pip install plato-neural

CLI Usage

# Ask a question
plato-neural ask "What is constraint theory?"

# Score a tile (neural — requires GPU)
plato-neural score -q "What is a tile?" -a "A 256-byte knowledge unit..."

# Score a tile (heuristic — no GPU needed)
plato-neural score -q "What is a tile?" -a "A knowledge unit..." --heuristic

# Check model health
plato-neural health

# Start REST API
plato-neural serve --port 5050

REST API

# Health
curl http://localhost:5050/health

# Ask
curl -X POST http://localhost:5050/ask -H 'Content-Type: application/json' \
  -d '{"question": "What is constraint theory?"}'

# Score
curl -X POST http://localhost:5050/score -H 'Content-Type: application/json' \
  -d '{"question": "...", "answer": "..."}'

# Batch score
curl -X POST http://localhost:5050/batch_score -H 'Content-Type: application/json' \
  -d '{"tiles": [{"question": "...", "answer": "..."}]}'

# Generate tile
curl -X POST http://localhost:5050/generate_tile -H 'Content-Type: application/json' \
  -d '{"room": "ct"}'

# Find knowledge gaps
curl -X POST http://localhost:5050/find_gaps -H 'Content-Type: application/json' \
  -d '{"tiles": [...], "threshold": 50}'

Python API

from plato_neural import PlatoBrain

brain = PlatoBrain("Qwen/Qwen2.5-0.5B")

# Q&A
result = brain.ask("What is constraint theory?")
print(result["answer"])

# Score tiles
score = brain.score("What is a tile?", "A 256-byte knowledge unit...")
print(f"PPL: {score['perplexity']}, Tier: {score['tier']}")

# Generate new tiles
tile = brain.generate_tile("ct")
print(tile["question"], tile["answer"])

# Find gaps in knowledge
gaps = brain.find_gaps(tiles, threshold=50)

Performance (RTX 4050, exp8 LoRA)

Metric	Value
Avg perplexity	~5-7
Tile recognition	~98%
Confidence	0.97+
Generation speed	70+ tok/s
VRAM	~1.0GB (bf16), ~545MB (INT8)

Changelog

v0.2.0

• REST API server with 6 endpoints
• Heuristic scorer (no GPU required)
• CLI with ask/score/health/serve commands
• PlatoBrain class with ask/score/generate/batch_score/find_gaps
• PlatoScorer class for lightweight heuristic scoring

v0.1.0

• Initial release: PlatoBrain + PlatoScorer