Topic: llm

Neo4j Adds Vector Search Capability Within Its Native Graph Database for Richer Generative AI Insights

SAN MATEO, Calif., Aug. 22, 2023 /PRNewswire/ — Neo4j®, the world’s leading graph database and analytics company, announced that it has integrated native vector search as part of its core database capabilities. The result enables customers to achieve richer insights from semantic search and generative AI applications, and serve as long-term memory for LLMs, all while reducing hallucinations. … continue reading

SD Times Open-Source Project of the Week: Chaindesk

Chaindesk (previously called Databerry) is an open-source no-code platform for building your own large language model (LLM) agent.  Data can be loaded from any source, making it easy to make a chat agent that is specific to your data. Potential sources include text, PDF, Excel, Notion, Airtable, Word, and more.  Chaindesk connects these sources with … continue reading

Contrast Security adds new feature to help protect against prompt injection in LLMs

Prompt injection — attacks that involve inserting something malicious into an LLM prompt to get an application to execute unauthorized code — topped the recently released OWASP Top 10 for LLMs.  According to Contrast, this could result in an LLM outputting incorrect or malicious responses, producing malicious code, circumventing content filters, or leaking sensitive data. … continue reading

AWS and DeepLearning.AI launch course on LLMs

DeepLearning.AI and AWS unveiled a new course called Generative AI with Large Language Models on Coursera.  This hands-on course aims to equip data scientists and engineers with the skills needed to become proficient in utilizing large language models (LLMs) for practical applications. Participants will gain expertise in various aspects, including selecting appropriate models, training them … continue reading

SD Times Open-Source Project of the Week: BigCode

The BigCode initiative’s aim is to build state-of-the-art large language learning models (LLMs) to build code in an open and responsible way. Code LLMs enable the completion and synthesis of code from other code and natural language descriptions, and enables users to work across a wide range of domains, tasks, and programming languages.  The initiative … continue reading

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