Spaces:
Runtime error
Runtime error
File size: 2,903 Bytes
1d75522 c7d9c30 5ac18f6 c7d9c30 05c0fea bb6f0d3 05c0fea 5ac18f6 c7d9c30 1d75522 e2e5ce2 c7d9c30 1d75522 c7d9c30 1d75522 c7d9c30 5ac18f6 c7d9c30 05c0fea bb6f0d3 05c0fea 5ac18f6 c7d9c30 1d75522 c7d9c30 e2e5ce2 c7d9c30 1d75522 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 |
"""
Advanced Reasoning Engine for Multi-Model System
---------------------------------------------
A highly sophisticated reasoning system combining multiple reasoning strategies.
Core Reasoning:
1. Chain of Thought (CoT)
2. Tree of Thoughts (ToT)
3. Recursive Reasoning
4. Analogical Reasoning
5. Meta-Learning
6. Local LLM
Advanced Reasoning:
7. Neurosymbolic Reasoning
8. Bayesian Reasoning
9. Quantum Reasoning
10. Emergent Reasoning
11. Multimodal Reasoning
12. Specialized Reasoning
Learning & Adaptation:
13. Market Analysis
14. Portfolio Optimization
15. Venture Strategies
16. Monetization Strategies
"""
# Base types and classes
from .base import ReasoningStrategy, StrategyResult
# Core reasoning strategies
from .chain_of_thought import ChainOfThoughtStrategy
from .tree_of_thoughts import TreeOfThoughtsStrategy
from .recursive import RecursiveStrategy
from .analogical import AnalogicalStrategy
from .meta_learning import MetaLearningStrategy
from .local_llm import LocalLLMStrategy
# Advanced reasoning strategies
from .multimodal import MultimodalStrategy
from .bayesian import BayesianStrategy
from .quantum import QuantumStrategy
from .neurosymbolic import NeurosymbolicStrategy
from .emergent import EmergentStrategy
from .specialized import SpecializedStrategy
# Domain-specific strategies
from .market_analysis import MarketAnalysisStrategy
from .portfolio_optimization import PortfolioOptimizationStrategy
from .venture_strategies import VentureStrategy
from .monetization import MonetizationStrategy
from .venture_types import (
AIInfrastructureStrategy,
AIConsultingStrategy,
AIProductStrategy,
FinTechStrategy,
HealthTechStrategy,
EdTechStrategy,
BlockchainStrategy,
AIMarketplaceStrategy
)
# Model integrations
from .groq_strategy import GroqStrategy
# Unified engine
from .unified_engine import UnifiedReasoningEngine, StrategyType, UnifiedResult
__all__ = [
# Base types
'ReasoningStrategy',
'StrategyResult',
# Core reasoning
'ChainOfThoughtStrategy',
'TreeOfThoughtsStrategy',
'RecursiveStrategy',
'AnalogicalStrategy',
'MetaLearningStrategy',
'LocalLLMStrategy',
# Advanced reasoning
'MultimodalStrategy',
'BayesianStrategy',
'QuantumStrategy',
'NeurosymbolicStrategy',
'EmergentStrategy',
'SpecializedStrategy',
# Domain-specific
'MarketAnalysisStrategy',
'PortfolioOptimizationStrategy',
'VentureStrategy',
'MonetizationStrategy',
# Venture type strategies
'AIInfrastructureStrategy',
'AIConsultingStrategy',
'AIProductStrategy',
'FinTechStrategy',
'HealthTechStrategy',
'EdTechStrategy',
'BlockchainStrategy',
'AIMarketplaceStrategy',
# Model integrations
'GroqStrategy',
# Unified engine
'UnifiedReasoningEngine',
'StrategyType',
'UnifiedResult'
]
|