Tool Use

Core Concepts & Architecture

Vanishing Gradients & Optimization: Addresses the vanishing gradient problem in deep neural network training, utilizing advanced optimization strategies and backpropagation techniques to maintain signal integrity.
LLMs as Cognitive Cores: Language Models (LLMs) serve as the foundational components for ai-agents. Small, on-device models like MiniCPM5-1B are emerging as efficient cognitive cores for tool use, enabling local processing and reduced latency.
J-Space & Global Workspace: Anthropic’s discovery of “J-space” reveals an emergent internal global workspace within LLMs, providing interpretability into how models route information and manage context during complex reasoning tasks.
Personal Computer Training: Explores the feasibility of training custom small language models on personal computers, democratizing access to specialized model development.

BM25 Resurgence: Despite the prevalence of semantic search, lexical scoring functions like BM25 show “unreasonable effectiveness” in specific agentic contexts.
- Agentic Search Definition: Defined as “search inside an agent loop,” where precise lexical matching often outperforms dense vector retrieval for specific factual lookups or code snippets.
- Analysis: See BM25’s Unreasonable Effectiveness in LLM-Driven Agentic Search for detailed benchmarks and architectural implications.
- Source: BM25’s Unreasonable Effectiveness in LLM-Driven Agentic Search
MCP & Tool Use: Integration of the Model Context Protocol (MCP) allows agents to securely interact with external tools, databases, and APIs, expanding the utility of the cognitive core.

Frontier Model Comparison: Comparative performance benchmarks between GPT-5.6 Sol and Claude Fable 5 highlight trade-offs in reasoning, speed, and multi-modal capabilities.
Emerging Architectures:
- Inkling MoE: Thinking Machines Lab’s Mixture of Experts approach aims to improve efficiency and scalability.
- Muse Spark 1.1: Meta’s latest iteration focuses on multi-modal AI capabilities and diffusion architectures for image and video generation.
Diffusion Models: Parallel diffusion architectures continue to evolve, offering high-fidelity generation capabilities that complement LLM-based reasoning.

Codex AI Optimization: Strategies for leveraging GPT-5.6 capabilities within Codex AI to enhance code generation and debugging workflows.
Developer Tools: Evaluation of current developer tools for integrating tool-use patterns into CD pipelines and local development environments.

Bergum, Jo Kristian. “The unreasonable effectiveness of BM25 for agentic search.” Hornet.dev. https://www.youtube.com/watch?v=fZH97QHHYjY