How to reduce hallucinations when using LLMs for data analysis tasks?
I'm building a system where users ask questions about their data in natural language, and an LLM generates SQL queries and interprets results. **The problem:** The LLM often "hallucinates" insights t...
How to implement RAG (Retrieval-Augmented Generation) with custom embeddings?
I want to build a RAG system for our internal documentation, but I'm confused about the embedding strategy. **Current setup:** - 500+ markdown documentation files - Using OpenAI's text-embedding-3-sm...
How to reduce hallucinations when using LLMs for data analysis tasks?
I'm building a system where users ask questions about their data in natural language, and an LLM generates SQL queries and interprets results. **The problem:** The LLM often "hallucinates" insights t...
How to implement RAG (Retrieval-Augmented Generation) with custom embeddings?
I want to build a RAG system for our internal documentation, but I'm confused about the embedding strategy. **Current setup:** - 500+ markdown documentation files - Using OpenAI's text-embedding-3-sm...
How to reduce hallucinations when using LLMs for data analysis tasks?
I'm building a system where users ask questions about their data in natural language, and an LLM generates SQL queries and interprets results. **The problem:** The LLM often "hallucinates" insights t...
How to implement RAG (Retrieval-Augmented Generation) with custom embeddings?
I want to build a RAG system for our internal documentation, but I'm confused about the embedding strategy. **Current setup:** - 500+ markdown documentation files - Using OpenAI's text-embedding-3-sm...
How to optimize LLM inference costs in production?
Our AI application is getting expensive with GPT-4 API calls. We're spending $5000/month and growing. What strategies can reduce costs without sacrificing too much quality? Current setup: - 100k API...
How to optimize LLM inference costs in production?
Our AI application is getting expensive with GPT-4 API calls. We're spending $5000/month and growing. What strategies can reduce costs without sacrificing too much quality? Current setup: - 100k API...
How to optimize LLM inference costs in production?
Our AI application is getting expensive with GPT-4 API calls. We're spending $5000/month and growing. What strategies can reduce costs without sacrificing too much quality? Current setup: - 100k API...
How to optimize LLM inference costs in production?
Our AI application is getting expensive with GPT-4 API calls. We're spending $5000/month and growing. What strategies can reduce costs without sacrificing too much quality? Current setup: - 100k API...
How to optimize LLM inference costs in production?
Our AI application is getting expensive with GPT-4 API calls. We're spending $5000/month and growing. What strategies can reduce costs without sacrificing too much quality? Current setup: - 100k API...
How to optimize LLM inference costs in production?
Our AI application is getting expensive with GPT-4 API calls. We're spending $5000/month and growing. What strategies can reduce costs without sacrificing too much quality? Current setup: - 100k API...
How to optimize LLM inference costs in production?
Our AI application is getting expensive with GPT-4 API calls. We're spending $5000/month and growing. What strategies can reduce costs without sacrificing too much quality? Current setup: - 100k API...