SMCC- Sponsorship Marketing Council Canada’s Post

Join us on August 15 for an exclusive webinar: Deep Dive into LLM Evaluation with Weights & Biases! We’ll explore how to assess LLM systems effectively, with a focus on Retrieval Augmented Generation (RAG) systems, dive into how LLMs can be used to self-evaluate, how to use Weights & Biases Sweeps, and much more. This workshop is based off the foundational learnings of our new course Evaluating & Debugging Generative AI built in collaboration with the Weights & Biases team. RSVP: https://hubs.la/Q01-6tdJ0

Being user of LlamaIndex and tried Property Graph, it’s a easy to use framework to build Knowlege Graph from Unstructured/ Semistructured Data. Below series will help you strengthen knowledge on Property Graph. #rag #knowledgegraph #llamaindex #kg

I’ve recently enjoyed contributing to the incredible LlamaIndex 🦙 library by adding a new extension for knowledge graph creation called DynamicLLMPathExtractor. I found LlamaIndex's property graphs to be incredibly useful for building knowledge graphs from raw text and sending the results directly into a graph database management system like Neo4j. As an extension of the rich family of path extractors (pipelines responsible for extracting entity-relationship-entity tuples from raw text), knowledge graph creation from raw text has never been easier. ✨ Key Features of DynamicLLMPathExtractor: - Utilizes LLMs to detect entities and relationships. - Dynamically infers the appropriate schema on the fly. - Allows users to provide partial schema (possible entities and relationships) to guide the LLM in the schema inference process. This empowers any user, even non-experts without a predefined schema, to leverage the expertise of LLMs in creating KGs that require minimal final adjustments to achieve desirable results. 📓I've added a notebook in the LlamaIndex repository where you can explore the different path extractors the library offers for yourself, and pick the one that best suits your needs: https://lnkd.in/epTw3-jD ➡️I've left some visualizations of the KGs I obtained here: https://lnkd.in/eYdtBgEW #llamaindex #knowledgegraph #llm #neo4j

Data representation is crucial in the realm of RAG and multi-agent systems, serving as a key differentiator for success. At Dell, our AI team has been exploring and developing innovative genAI based solutions to drive productivity, and our experiments with property graphs for internal knowledge graphs have been exceptionally promising. Property graphs offer a structured way to organize and query complex data elements, enabling us to build robust knowledge graphs that enhance decision-making and operational efficiency. This approach not only optimizes internal processes but also lays a solid foundation for genAI system we build on top of it. Below you can find reference to LlamaIndex series on property graphs that I found useful. #AI #ArtificialIntelligence #KnowledgeGraphs #Innovation #DellTechnologies #iwork4dell Jason Liu Rachel Shalom #Iwork4dell

Property Graphs are powerful tools that allow you to model complex relationships from documents, featuring properties on both nodes and edges.

We know mistakes happen, so to guarantee a flawless experience, we conducted a comprehensive dry run yesterday for our upcoming predictive analytics webinar on May 24th! Here's what that means for you: Seamless Platform Experience: You'll be comfortable using the platform, ensuring a smooth and informative webinar. Optimized Agenda: We've meticulously crafted the agenda to maximize your valuable time. Expert Insights: AUGUST CHAO, and Me and our host Kwoon Tien, Joshua Tan & Radhika Bhama, will share their valuable insights on this Free webinar. Bonus! Enhance your learning with these exclusive offers: Free Downloadable resources: Get our in-depth guide comparing LLM vs. Deep Learning models for time series predictions (worth SGD $50!). Lucky Draw: Stay tuned until the end for a chance to win SGD $20 (5 winners!). But remember, you must attend the entire session to qualify. This isn't a gimmick – it's the real deal! Don't miss out on unlocking the power of on-premise GPUs and revolutionizing your time series forecasting with generative AI. Register here: https://lnkd.in/gSWuwj-9

Another free Torchbox webinar about practical applications of AI to boost your impact 📡 May 02 at 2pm UK time (3pm CET) with Andy Gordon, Lisa Ballam and myself. This webinar is very much on the praxis end of the scale. We've talked a lot about theory and this webinar goes more into the real-world situations where we're using AI to effect change and achieve specific goals. A continual barrier we've heard from folks is lack of working with the tools on the market at the moment. There seems to be a worry that they're hard to use. The lack of familiarity makes it hard to understand if the tools will be useful for their org. Expect live demos of data analytics, co-creating activation ideas and generating prototypes. The webinar will be looking at how we can all learn about AI and how it might create value for your org through the experimentation, experience and reflection. Sign up here: https://lnkd.in/d3hSQW_D

Property Graphs are powerful tools that allow you to model complex relationships from documents, featuring properties on both nodes and edges. We are excited to announce a 6-part video series on Property Graphs in LlamaIndex using Mistral AI, Neo4j and Ollama, presented in a brand-new tutorial series by Ravi Theja Desetty! ➡️ What’s a property graph and why is it useful? ➡️ How to build a property graph in LlamaIndex ➡️ Building graph data extractors and retrievers ➡️ Using Neo4j with LlamaIndex ➡️ Using Ollama with pre-defined schemas ➡️ Building custom retrievers https://lnkd.in/gb_-Jdc6

We're thrilled to be at the #DX3 event in Toronto today and tomorrow! 🎉 If You're at the event, you can catch us right outside the Retail Theatre entrance at our booth. Swing by and pick up one of our exclusive Machine Learning in Retail booklets! 📚✨ Meet our team of data experts and dive deep into the power of AI, machine learning and data intelligence services. 🔍 #DataIntelligence #RetailInnovation #MachineLearning #DataExperts Adam Ryan Mark Herridge John Kobernyk Peter Matson Michael Edwards

Sharing knowledge and absorbing it from a human ecosystem having expertise in AI and Big Data is one of my favorite things about my professional journey. Very happy to have been invited as one of the speakers to the IDEAS Global AI summit. My “conference friend” Mitesh Mangaonkar and I loved talking about how big data, real time processing and data governance serve as the drivers for modern AI and Machine Learning. Excited about being the keynote speaker for the next IDEAS online conference in November! Jai Balani: we missed you on our panel but you were in the spirit! 😄 More pics and the conference recording to follow!