research

LLM Observability Tools for Reliable AI Applications

Large language models (LLMs) now power everything from customer service bots to autonomous coding agents.

9 hours ago

Implementing Prompt Compression to Reduce Agentic Loop Costs

Agentic loops in production can be synonymous with high costs, especially when it comes to both LLM and external application…

1 day ago

Implementing Permission-Gated Tool Calling in Python Agents

AI agents have evolved beyond passive chatbots.

4 days ago

Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling

Overview of adaptive parallel reasoning. What if a reasoning model could decide for itself when to decompose and parallelize independent…

4 days ago

Implementing Statistical Guardrails for Non-Deterministic Agents

Non-deterministic agents are those where the same input can lead to distinct outputs across multiple runs.

1 week ago

Effective KV Compression with TurboQuant

TurboQuant has recently been launched by Google as a novel algorithmic suite and library for applying advanced quantization and compression…

2 weeks ago