Fine-tuning has been the sole method by which a model could be adapted to accomplish specific tasks. Today, the current large language model can be prompt-engineered to achieve similar results. An AI task that would have taken 6 months in the past can now be accomplished in a matter of minutes or hours. This development … continue reading
Bugcrowd has announced updates to its Vulnerability Rating Taxonomy (VRT), which categorizes and prioritizes crowdsourced vulnerabilities. The new update specifically addresses vulnerabilities in Large Language Models (LLMs) for the first time. The VRT is an open-source initiative aiming to standardize how suspected vulnerabilities reported by hackers are classified. “This new release of VRT not only … continue reading
IBM has announced the upcoming general availability of watsonx.governance in early December. This tool aims to address challenges associated with generative AI, which is powered by large language models (LLM) or foundation models. While such AI models offer various business use cases, they also bring risks and complexities, such as the use of unverified training … continue reading
Databricks introduced a public preview of GPU and LLM optimization support for Databricks Model Serving. This new feature enables the deployment of various AI models, including LLMs and Vision models, on the Lakehouse Platform. Databricks Model Serving offers automatic optimization for LLM Serving, delivering high-performance results without the need for manual configuration. According to Databricks, … continue reading
Cloudflare has launched Workers AI, a solution designed to provide the necessary infrastructure for efficiently and cost-effectively scaling and deploying AI models, catering to the upcoming generation of AI applications. The company has established strategic partnerships to offer GPU access on its global network, enabling low-latency AI inference near users. Paired with the Data Localization … continue reading
Amazon has unveiled the future of Alexa, revealing plans to harness the power of a specialized large language model (LLM) optimized for voice interactions. This development is expected to enhance the user experience with Alexa, making interactions more natural and conversational. The company emphasized the importance of involving developers in this journey to shape and … continue reading
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
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
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
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
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
