We're trying something different this week: a full post-show breakdown of every episode in the latest season of Black Mirror! Ari Romero is joined by Tudum's Black Mirror expert, Keisha Hatchett, to give you all the nuance, the insider commentary, and the details you might have missed in this incredible new season. Plus commentary from creator & showrunner Charlie Brooker! SPOILER ALERT: We're talking about the new season in detail and revealing key plot points. If you haven't watched yet, and you don't want to know what happens, turn back now! You can watch all seven seasons of Black Mirror now in your personalized virtual theater . Follow Netflix Podcasts and read more about Black Mirror on Tudum.com .…
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Ep16: Mapping Relationships in Applications + Software Estimates
Manage episode 442304214 series 3579839
Nội dung được cung cấp bởi jmhreif. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được jmhreif hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.
Documenting how to map relationship entities from a database to an application. Then, delving into one author’s viewpoint on software project estimates and some ideas to adapt this inaccurate process for better results.
40 tập
Chia sẻManage episode 442304214 series 3579839
Nội dung được cung cấp bởi jmhreif. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được jmhreif hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.
Documenting how to map relationship entities from a database to an application. Then, delving into one author’s viewpoint on software project estimates and some ideas to adapt this inaccurate process for better results.
40 tập
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1 Ep40: Recent AI learnings + More than a vector database 10:24
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Nghe Sau Nghe Sau Danh sách Thích Đã thíchFresh from the Arc of AI conference , I’m unpacking the biggest insights that stuck with me—ranging from the extremes of AI’s capabilities to the deeper implications for how we build and maintain our tech systems. I’ll also share a new blog post and code repo I published on loading data into Pinecone, some next-gen tools I’m eyeing, and thoughts on a great article from the Redis blog about why vector databases aren’t enough . Navigate the evolving landscape of LLMs, generative AI, and modern infrastructure with me in this episode.…
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1 Ep39: Why embedding models should match + Advice for starting a blog 13:36
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1 Ep38: Spring AI Debugging + How to Contribute to Open Source 13:25
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1 Ep37: Vector Database Frustration + Microsoft LazyGraphRAG 12:22
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1 Ep36: What is a Developer Advocate + Balancing Digital Consumption 11:27
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1 Ep35: Vector Databases + Building Effective Agents 8:53
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1 Ep34: Outlines and Iterating + Lessons from Grace Hopper 13:21
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1 Ep33: Cypher DSL examples + Crowd-source AI hacking 8:58
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1 Ep32: Official CLI + Bread Code Framework 10:32
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1 Ep31: Database CLI + Containerization Refcard 9:31
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1 Ep30: SDN update entity + Knowledge Graph ebook 9:06
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1 Ep29: Neo4j GenAI plugin + How-To for Technical Content 10:16
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1 Ep28: 2024 Recap, 2025 Look-Ahead + Always Be Launching 12:32
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1 Ep27: Lexical vs Semantic Search + Downside of Vector Databases 8:54
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1 Ep26: Git Troubles + Dungeons & Dragons Graph 11:43
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1 Ep25: Github Actions + AI Coding Assistant 8:56
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1 Ep24: Graph Data Science + Building Knowledge Graphs 9:57
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1 Ep23: Spring Data Neo4j course + Event recap 14:58
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1 Ep22: LLM Graph Builder + Devrel unlocks “aha” moment 11:12
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In this episode, hear why data (a less glamorous topic) is actually fascinating and crucial. Then, look forward with a preview of next week's NODES 2024 event, which features a range of sessions on graph technologies, AI, data science, and security. Finally, get a teaser for the next episode.
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Cover the basics of graphs , explaining mathematical roots and applications. Introduce Goodhart's Law and highlight the risks of over-focusing on metrics, whether in tech or personal growth.
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1 Ep18: What is Vector search + JConf/Dev2next experiences 10:59
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1 Ep17: Using Asciidoc for Tech Content + Current Productivity Reads 10:19
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1 Ep16: Mapping Relationships in Applications + Software Estimates 10:23
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1 Ep14: Making Tech Relatable + Java Entity Mapping 8:47
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1 Ep13: GraphQL vs GQL vs Cypher + Road to NODES 9:29
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1 Ep12: What is RAG + Case for Conferences 11:35
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1 Ep11: What is a Knowledge Graph + DevUp Conference 9:26
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