Hello everybody and welcome to my session at a engineer code summit and I'm going to talk a bit about how you can connect the dots with graph technology and solve problems like context engineering um improving retrieval patterns and also agentic memory. So we're going to have a lot of fun. My name is Stephen Chin.I'm VP of developer relations at Neo Forj and you can find me at all the different social media outlets with my handle Steve on Java. So excited you're all here to join for the session today. And I ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. ...

General Overview - The author encourages readers to reshare the content if they found it insightful [1] - The author shares tutorials and insights on Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAGs) daily [1] Author Information - The author can be found on Twitter/X with the handle @_avichawla [1]

Core Insights - The wealth management industry is undergoing a significant transformation driven by the rise of artificial intelligence (AI) and increasingly complex investor behavior [1][2][4] Group 1: Impact of AI on Wealth Management - AI will play a crucial role in enhancing advisor-client relationships by taking over tedious tasks such as tax planning, legal matters, and portfolio management, allowing advisors to focus more on client interactions [2][4] - The use of AI tools can help advisors and portfolio managers gain insights into market dynamics, including trending topics and sentiment analysis, which is essential for understanding market events [3][4] Group 2: Importance of Narrative Intelligence - Narrative intelligence is becoming a key differentiator, helping advisors interpret market sentiment and guide clients through emotional decision-making [4][7] - By leveraging sentiment analysis and natural language processing, advisors can help clients understand market events, reducing the likelihood of panic selling or irrational investment decisions [5][6] Group 3: Ensuring Trust in AI Tools - Trust in AI tools depends on transparency and multi-layered validation, with companies needing to adopt best practices to ensure the reliability and relevance of insights [4][6] - Practical measures include ensuring AI tools can trace information sources and employing prompt engineering to improve the quality of outputs from AI systems [6][7]

General Information - The author encourages readers to reshare the content if they found it insightful [1] - The author shares tutorials and insights on DS (Data Science), ML (Machine Learning), LLMs (Large Language Models), and RAGs (Retrieval-Augmented Generation) daily [1] Author Information - The author can be found on Twitter (now X) with the handle @_avichawla [1]

General Overview - The document is a wrap-up message encouraging readers to reshare the content if they found it insightful [1] - It promotes tutorials and insights on Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAGs) [1] Author Information - Avi Chawla (@_avichawla) shares daily tutorials and insights [1] Project Focus - The content focuses on generating a Large Language Model (LLM) fine-tuning dataset locally [1]

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):There's a new way to build production-grade MCP servers.- It takes less than a minute.- You don't have to write any code.- You can integrate from 100k+ tools.Here's a step-by-step breakdown (100% local): ...

Agent Technology & Protocol - Agent2Agent (A2A) protocol is explained with visuals [1] - Tutorials and insights on DS, ML, LLMs, and RAGs are shared daily [1] Resource Sharing - The author encourages readers to reshare the content with their network if they find it insightful [1] Author Information - Avi Chawla (@_avichawla) shares the content [1]

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):Let's build an MCP server (100% locally): ...