# Deep Dive Relevance Keywords
# Define keywords and their weights for scoring entries

# Weight tiers: High (3.0x), Medium (1.5x), Low (0.5x)
weights:
  high: 3.0
  medium: 1.5
  low: 0.5

# High-priority keywords (critical to Hermes/Timmy work)
high:
  # Framework specific
  - hermes
  - timmy
  - timmy foundation
  - langchain
  - langgraph
  - crewai
  - autogen
  - autogpt
  - babyagi
  
  # Agent concepts
  - llm agent
  - llm agents
  - agent framework
  - agent frameworks
  - multi-agent
  - multi agent
  - agent orchestration
  - agentic
  - agentic workflow
  - agent system
  
  # Tool use
  - tool use
  - tool calling
  - function calling
  - mcp
  - model context protocol
  - toolformer
  - gorilla
  
  # Reasoning
  - chain-of-thought
  - chain of thought
  - reasoning
  - planning
  - reflection
  - self-reflection
  
  # RL and training
  - reinforcement learning
  - RLHF
  - DPO
  - GRPO
  - PPO
  - preference optimization
  - alignment
  
  # Fine tuning
  - fine-tuning
  - finetuning
  - instruction tuning
  - supervised fine-tuning
  - sft
  - peft
  - lora
  
  # Safety
  - ai safety
  - constitutional ai
  - red teaming
  - adversarial

# Medium-priority keywords (relevant to AI work)
medium:
  # Core concepts
  - llm
  - large language model
  - foundation model
  - transformer
  - attention mechanism
  - prompting
  - prompt engineering
  - few-shot
  - zero-shot
  - in-context learning
  
  # Architecture
  - mixture of experts
  - MoE
  - retrieval augmented generation
  - RAG
  - vector database
  - embeddings
  - semantic search
  
  # Inference
  - inference optimization
  - quantization
  - model distillation
  - knowledge distillation
  - KV cache
  - speculative decoding
  - vLLM
  
  # Open research
  - open source
  - open weight
  - llama
  - mistral
  - qwen
  - deepseek
  
  # Companies
  - openai
  - anthropic
  - claude
  - gpt
  - gemini
  - deepmind
  - google ai

# Low-priority keywords (general AI)
low:
  - artificial intelligence
  - machine learning
  - deep learning
  - neural network
  - natural language processing
  - NLP
  - computer vision

# Source-specific bonuses (points added based on source)
source_bonuses:
  arxiv_ai: 0.5
  arxiv_cl: 0.5
  arxiv_lg: 0.5
  openai_blog: 0.3
  anthropic_news: 0.4
  deepmind_news: 0.3

# Filter settings
filter:
  min_relevance_score: 2.0
  max_entries_per_briefing: 15
  embedding_model: "all-MiniLM-L6-v2"
  use_embeddings: true