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LLM EvaluationIngesting Data for Semantic Searches in a Production-Ready Way
The current ecosystem around LLMs, semantic search and vector storage makes it easy to prototype but difficult to move into production. Ingesting large volumes of data specifically for… David Garnitz November 8, 2023 10 min read -
LLM EvaluationOrca: Progressive Learning from Complex Explanation Traces of GPT-4 Paper Reading
Introduction Recent research focuses on improving smaller models through imitation learning using outputs from large foundation models (LFMs). Challenges include limited imitation signals, homogeneous training data, and a… Sarah Welsh July 13, 2023 30 min read -
LLM Evaluation
HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels
Introduction In this paper reading, we explore HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels. HyDE is a thrilling zero-shot learning technique that combines GPT-3’s language understanding with… Sarah Welsh June 27, 2023 30 min read -
LLM EvaluationHow To Troubleshoot LLM Summarization Tasks
This blog is co-authored by Xander Song, Developer Advocate at Arize Follow along in the Colab version of this blog Introduction Large language models (LLMs) are revolutionizing the… Hakan Tekgul June 22, 2023 6 min read -
LLM Evaluation
Retrieval-Augmented Generation – Paper Reading and Discussion
Introduction In this paper reading, we discuss “Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.” We know GPT-like LLMs are great at soaking up knowledge during pre-training and fine-tuning them… Sarah Welsh June 9, 2023 34 min read
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