AWS Bedrock

How Intuit uses LLMs to explain taxes to millions of taxpayers - Jaspreet Singh, Intuit

Jul 23, 2025 · 18:59

Jaspreet Singh, Senior Staff Engineer at Intuit, explains how TurboTax uses Anthropic's Claude and OpenAI models to generate personalized tax explanations for 44 million customers. The system, built on Intuit's GenOS platform, combines prompt-engineered static explanations with dynamic question-answering using RAG and graphRAG for tax-specific queries. Singh details their fine-tuning of Claude Haiku on AWS Bedrock, which improved quality but proved too specialized. A key focus is evaluation: manual reviews by tax analysts followed by automated LLM-as-a-judge scoring for accuracy, relevancy, and coherence, with a golden dataset and safety guardrails to prevent hallucinated numbers. He highlights challenges like latency spikes on tax day (3–10 seconds), vendor lock-in through expensive contracts, and the difficulty of upgrading models even within the same vendor. Singh emphasizes that evaluations are essential for launching any GenAI feature in a regulated domain like tax.

RAG and the MongoDB Document Model: Ben Flast

Feb 8, 2025 · 13:13

Ben Flast, Director of Product at MongoDB, explains how the MongoDB document model and Atlas Vector Search enable more efficient and scalable Retrieval Augmented Generation (RAG). He contrasts MongoDB's JSON-based documents with relational databases, highlighting that documents store application objects directly without stitching tables. Flast details MongoDB's HNSW-based vector search, which stores embeddings alongside transactional data in the same document, supporting up to 4,096 dimensions. He introduces Search Nodes, which decouple vector search infrastructure from transactional databases for independent scaling. Flast covers AI integrations with LangChain, LlamaIndex, and others, enabling features like semantic caching and chat history memory within a single database. He cites the startup 4149, which uses MongoDB to store user data, meeting notes, and vector embeddings for an AI teammate that assists with tasks by combining transactional and semantic search.

What's new from Anthropic and what's next: Alex Albert

Aug 5, 2024 · 13:38

Alex Albert, Head of Developer Relations at Anthropic, argues the industry is in a 'magic star icon phase'—tacking AI onto existing products—and urges rebuilding from the ground up. He announces Claude 3.5 Sonnet, which scores 64% on pull request evals (vs 38% for 3 Opus), with 200k context, vision improvements, and pricing at $3/M input and $15/M output tokens. New features include Artifacts for collaborative creation of code and React components from screenshots, Projects for team knowledge grounding, and an enhanced ToolUse API supporting hundreds of tools and structured JSON output. Future models (3.5 Haiku/Opus) will be smarter, cheaper, and faster; a steering API for interpretability allows clamping feature values to control outputs.