ChatGPT Application Development
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Prompt Engineering
Higher predictability and contextual relevance in AI-generated responses by following proven prompting techniques.
Retrieval Augmented Generation (RAG)
Accuracy and contextual relevance are prioritized by combining OpenAI models with an existing knowledge base, lowering the risk of hallucinations.
Azure OpenAI Service
Low threshold for cloud applications build on Microsoft Azure.
Embedding Models & Vectorization
OpenAI models are fine-tuned for specific tasks, which is a ensuring optimal performance and cost-efficiency through advanced data handling techniques.
Semantic Search
Enhanced text summarization and search capabilities by querying broad concepts instead of exact phrases and getting answers backed by source citations.
Cost Optimization
To get the most out of a paid API, applications follow efficient practice like token management, data caching or model embedding.