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How do we build an inclusive world? Hear intimate and in-depth conversations with changemakers on disability rights, youth mental health advocacy, prison reform, grassroots activism, and more. First-hand stories about activism, change, and courage from people who are changing the world: from how a teen mom became the Planned Parenthood CEO, to NBA player Kevin Love on mental health in professional sports, to Beetlejuice actress Geena Davis on Hollywood’s role in women’s rights. All About Change is hosted by Jay Ruderman, whose life’s work is seeking social justice and inclusion for people with disabilities worldwide. Join Jay as he interviews iconic guests who have gone through adversity and harnessed their experiences to better the world. This show ultimately offers the message of hope that we need to keep going. All About Change is a production of the Ruderman Family Foundation. Listen and subscribe to All About Change wherever you get podcasts. https://allaboutchangepodcast.com/

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Ep8: Luck Favors the Prepared + LLM Graph Builder Tool

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Contenido proporcionado por jmhreif. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente jmhreif o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Do you ever feel like some people have all the luck? Sometimes we need to see things in a new light to break through the barrier or overcome the obstacle. Plus, I took a look at a new-ish tool from Neo4j called the LLM Graph Builder. I’ll give a quick intro on that, plus what I’m doing with it and how it’s going.

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38 episodios

#Tech #News #Tech News #jmhreif

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Ep8: Luck Favors the Prepared + LLM Graph Builder Tool

Breaktime Tech Talks

published hace un año

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MP3•Episodio en casa

Contenido proporcionado por jmhreif. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente jmhreif o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Do you ever feel like some people have all the luck? Sometimes we need to see things in a new light to break through the barrier or overcome the obstacle. Plus, I took a look at a new-ish tool from Neo4j called the LLM Graph Builder. I’ll give a quick intro on that, plus what I’m doing with it and how it’s going.

… continue reading

38 episodios

#Tech #News #Tech News #jmhreif

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Ep38: Spring AI Debugging + How to Contribute to Open Source 13:25

hace 12 días13:25

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In this episode, I continue my journey with vector databases, integrating Pinecone , Neo4j , and Spring AI . While making some progress, I also encountered hurdles, such as evolving APIs and the unique architecture of vector stores. Next, I share insights from an article on contributing to open-source projects , how it can accelerate your career and enhance both your technical and soft skills. From picking the right project to building credibility within the community, it's a series of steps that gets better with time and practice!…

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Ep37: Vector Database Frustration + Microsoft LazyGraphRAG 12:22

hace 19 días12:22

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12:22

In this episode, I discuss my challenges exploring vector databases for an upcoming demo. From what is a vector database to integration issues, hear how I tried a few different approaches with limited success and discover the surprising one with the most promise. I also explore Microsoft's "Lazy Graph RAG" approach, which seems to trade one challenge for another but could be valuable in certain cases.…

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Ep36: What is a Developer Advocate + Balancing Digital Consumption 11:27

hace 5 weeks11:27

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11:27

This week, I explored the Javalin Java framework and project decisions I'm trying to make. I also answer: What exactly does a Developer Advocate/Evangelist/Devrel do? Finally, I reflect on an article on balancing digital consumption with actual productivity.

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Ep35: Vector Databases + Building Effective Agents 8:53

hace 6 weeks8:53

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In this episode, there are two topics I'm looking forward to diving deeper into: vector databases and AI agents. I'm particularly interested in understanding how vector databases work, how they work with data, and their role in AI applications. Then I share my thoughts on Anthropic’s article about Building AI Agents , which discusses their varying definitions—from simple workflows to fully autonomous systems—and provides practical examples. The article highlights the importance of starting simple, adding complexity only as needed.…

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Ep34: Outlines and Iterating + Lessons from Grace Hopper 13:21

hace 7 weeks13:21

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13:21

In this podcast episode, hear my process of preparing for an upcoming conference with insights on how outlines enhance presentations and blog posts, as well as code and architecture. Also discuss how constant improvement is key with an online course as an example. Finally, I highlight a historical read on cryptography , and share reflections from Grace Hopper's 1982 lecture on data, hardware, and software , drawing connections between her insights and modern challenges in technology.…

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Ep33: Cypher DSL examples + Crowd-source AI hacking 8:58

hace 8 weeks8:58

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8:58

In this episode, I share recent blog posts. The first is about tackling challenges with GitHub repositories , offering solutions on syncing forks and using git rebasing, diffs, and pruning. Next, I created examples with Cypher DSL , providing beginner-friendly details to help users get started. Additionally, I started prepping for the Devnexus conference , where I'll be delivering my first keynote. I also read an article about an intriguing AI testing project where a user successfully manipulated an AI to break its rules and win a $50,000 prize, illustrating the potential challenges AI systems face in handling sensitive tasks.…

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Ep32: Official CLI + Bread Code Framework 10:32

hace 9 weeks10:32

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10:32

In this episode, I’m following up on a few things I’ve mentioned before. I dive into some updates on the Aura CLI (the official product version). I also explored the Neo4j GenAI Java library a bit more, including a connection hiccup I ran into with Neo4j Desktop. Then, I get into my experience with the Cypher DSL library and how Cypher fits into the retrieval part of RAG systems. Finally, I take a fun detour into an interesting article about a GitHub repository that combines coding and sourdough baking . It’s a cool reminder that the skills we learn in coding can apply to all sorts of other areas, even in the kitchen!…

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Ep31: Database CLI + Containerization Refcard 9:31

hace 10 weeks9:31

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9:31

In this episode, hear updates on a few projects, including Neo4j's new Aura CLI and NeoConverse . Plus, the promised blog post from last week's episode on Spring Data Neo4j entity updates . Shout-out to the JAXJUG and TampaJUG groups. If you're not involved with a tech group, there are options! Finally, a review of the DZone RefCard on Java containerization with its clear guidance on Docker containers, native builds, and deployment, making complex concepts more accessible for developers.…

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Ep30: SDN update entity + Knowledge Graph ebook 9:06

hace 11 weeks9:06

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Dive into my latest experiences with Spring Data Neo4j, specifically exploring new methods for updating nodes. After revisiting my 2023 blog post on this topic, I share insights on custom Cypher queries and projections . I also discuss the challenges of finding good examples for update operations. In addition, Neo4j announced the release of The Developer's Guide: How to Build a Knowledge Graph , a new ebook I co-authored. Hear my challenges of writing the book, including finding the right dataset for graph queries, working through product updates during the writing process, and the complexities of collaborating across different perspectives. Stay tuned for future updates, as we continue to refine this ever-evolving resource.…

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Ep29: Neo4j GenAI plugin + How-To for Technical Content 10:16

hace 12 weeks10:16

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10:16

In this episode, dive into a few exciting areas I've been exploring, including generative AI and graph technologies. I worked with Neo4j’s generative AI plugin for an experiment, and it wasn't all smooth sailing. Next, my highlights from an article in the Descript community on how to expand your educational YouTube audience —especially applied for those creating technical content. Key tips include thinking like a viewer to ask great questions, tweaking video intros to keep people engaged, and channeling viewer interests to strengthen connections.…

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Ep28: 2024 Recap, 2025 Look-Ahead + Always Be Launching 12:32

hace 14 weeks12:32

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12:32

Take a moment to reflect on 2024, exploring highlights in AI advancements, personal growth, and professional achievements, along with exciting 2025 goals. Then delve into an article that discusses marketing strategies but aligns well with developer advocacy.

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Ep27: Lexical vs Semantic Search + Downside of Vector Databases 8:54

hace 15 weeks8:54

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8:54

Explore the distinction between lexical and semantic search technologies, the growing use of vector databases , and the potential challenges and solutions that may arise as these technologies mature.

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Ep26: Git Troubles + Dungeons & Dragons Graph 11:43

hace 17 weeks11:43

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Git issues, finally resetting local branch , cherry-picking , and cleaning up . Then a fun graph presentation - Dungeons, Dragons, and Graph Databases .

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Ep25: Github Actions + AI Coding Assistant 8:56

hace 18 weeks8:56

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8:56

In this episode, hear some positive tech experiences from the week: the upgrade from GitHub Actions ( upload/download artifact ) to v4 through a 3rd party repo , and the new AI coding assistant feature in IntelliJ IDEA.

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Ep24: Graph Data Science + Building Knowledge Graphs 9:57

hace 19 weeks9:57

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9:57

This episode, my refresher with the Graph Data Science library with highlights and challenges. Then an overview of the Building Knowledge Graphs book , a guide on everything from concepts to technical details.

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