Engineering
Vector Search and RAG - Balancing Accuracy and Context
In this article, we cover AI Hallucinations and how RAG can help solve the issue. Christy demonstrated a great explanation of how building RAG requires careful choices of embedding models, indexes, and semantic search approaches.
Engineering
How to Detect and Correct Logical Fallacies from GenAI Models
Strategies for detecting and removing logical fallacies from LLMs
Engineering
Full RAG: A Modern Architecture for Hyperpersonalization
Mike Del Balso, CEO and Co-founder of Tecton delivered a talk on using the RAG architecture to improve the personalization of AI Recommendation engines at the Unstructured Data Meetup hosted by Zilliz.
Engineering
Nemo Guardrails: Elevating AI Safety and Reliability
In this article, we will provide an in-depth explanation of what Nemo Guardrails are, its practical applications, along with its integration.
Engineering
Top LLMs of 2024: Only the Worthy
This blog introduces the six most influential large language models in 2024.