Fangrui Liu

Jan 13, 2025 | pubs.rsc.org | Wenhao Yu |Dong Zhou |Fangrui Liu |Xu Li

Conjugation of PDLA onto MgO Microspheres: Comparison between Solution Grafting and Melt Grafting Methods Magnesium oxide (MgO) is known for its bioactivity and osteoconductivity when incprporated into biodegradable polylactide (PLA), while the weak interfacial bonding between MgO microspheres (mMPs) and PLA often leads to suboptimal composite properties with uncontrollable functionality. The conjugation of mMPs with PLA may offer a good way to enhance their compatibility.

Dec 7, 2023 | dzone.com | Fangrui Liu

Vector databases offer lightning-fast retrieval on similar objects stored in between billions of records. However, you may also be interested in searching for related objects that match a specific set of conditions, known as filtered vector search. With help from MyScale(opens new window), you can boost your filtered vector searches to a new level. Most vector indexes or vector stores work as dedicated index services.

Nov 24, 2023 | dzone.com | Fangrui Liu

On November 6, 2023, OpenAI announced the release of GPTs. On this no-code platform, as a professional (or hobbyist) developer, you can build customized GPTs or chatbots using your tools and prompts, effectively changing your interactions with OpenAI's GPT. Previous interactions mandated using dynamic prompting to retrieve responses from GPT with LangChain (opens new window)or LlamaIndex (opens window. Now, the OpenAI GPTs handle your dynamic prompting by calling external APIs or tools.

Nov 20, 2023 | dzone.com | Fangrui Liu

A new technique, Retrieval Augmented Generation (RAG), fills the knowledge gaps, reducing hallucinations by augmenting prompts with external data. Combined with a vector database (like MyScale (opens new window)), it substantially increases the performance gain in extractive question-answering systems, even with exhaustive knowledge bases like Wikipedia in the training set. To this end, this article focuses on determining the performance gain with RAG on the widely-used MMLU dataset.

Oct 25, 2023 | dzone.com | Fangrui Liu

Join the DZone community and get the full member experience. Join For Free Retrieval-augmented generation (RAG) is an AI framework designed to augment an LLM by integrating it with information retrieved from an external knowledge base. Based on the increasing focus RAG has garnered lately, it is reasonable to conclude that RAG is now a prominent topic in the AI/NLP (Artificial Intelligence/Natural Language Processing) ecosystem.