#LLM

Large Language Models (LLMs) power the reasoning layer in these multi-agent systems. Posts cover LLM reliability engineering, token budget management, provider abstraction patterns, and the operational challenges of running LLM-backed services in production with predictable cost and latency.

5 posts tagged with llm. ← All posts

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Pratik Dhanave · ·13 min read

Response Evaluation: Match, ROUGE, and LLM-as-Judge

How to score an agent's final answer against a reference — from exact string match, through ROUGE-1 unigram overlap, to an LLM judge — with original Go you can drop into a test suite. Part 5 of Evaluating Agents in Go.

How to score an agent's final answer against a reference — from exact string match, through ROUGE-1 unigram overlap, to an LLM judge — with original Go you can drop into a test suite. Part 5 of Evaluating...

#AI Agents#Evaluation#Go#LLM#Backend Engineering#LLMs#Testing
Pratik Dhanave · ·6 min read

LLM-Guided Portfolio Allocation

A hybrid allocator where a quantitative core owns the money, a language model only whispers tilts, and hard constraints plus a human bound everything before a single order goes out.

A hybrid allocator: quantitative signals set the baseline (mean-variance / risk parity) while an LLM proposes tilts from qualitative context, constrained by risk limits and human review.

#Financial AI#AI Agents#LLM#Quant#LLMs
Pratik Dhanave · ·7 min read

Generative AI and LLMs in Finance: Patterns and Guardrails

Large language models earn their place in regulated finance as fast, well-supervised assistants — not as autonomous agents with a hand on the money.

Where LLMs fit in regulated finance: document analysis/extraction, retrieval-grounded Q&A, and agentic decision support — plus the guardrails (grounding, human-in-the-loop, output validation, audit trails) that keep them…

#Financial AI#AI Agents#LLM#Compliance#Governance#LLMs#Guardrails

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.