正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

In Knowledge Graphs for RAG, our latest short course, you’ll explore how knowledge graphs work, how to build with them, and create better retrieval augmented generation applications. Start today for free:

DeepLearning.AI

336,161 subscribers

13,987 次观看 • 2 年前 •via X (Twitter)

科学技术教育健康养生

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Knowledge graphs are really cool 🧠 What’s even cooler is LLMs + knowledge graphs backed by a graph db (NebulaGraph) 🔥 This presents an entirely new stack for retrieval-augmented generation (separate from vector db + top-k)! Now possible with LlamaIndex 🦙 👇

Knowledge graphs are really cool 🧠 What’s even cooler is LLMs + knowledge graphs backed by a graph db (NebulaGraph) 🔥 This presents an entirely new stack for retrieval-augmented generation (separate from vector db + top-k)! Now possible with LlamaIndex 🦙 👇

Jerry Liu

113,738 次观看 • 3 年前

RAG is not Memory for AI Agents. 5 AI memory engines to build agents that maintain long-term context and learn continuously: (Last 2 released just this month) 1. Zep builds and queries temporally-aware knowledge graphs that evolve with every interaction. 100% Opensource.

RAG is not Memory for AI Agents. 5 AI memory engines to build agents that maintain long-term context and learn continuously: (Last 2 released just this month) 1. Zep builds and queries temporally-aware knowledge graphs that evolve with every interaction. 100% Opensource.

Unwind AI

85,045 次观看 • 9 个月前

Today SciPhi is open-sourcing Triplex, a SOTA LLM for knowledge graph construction. Triplex is so small that it can be used with SciPhi's R2R to build knowledge graphs directly from your laptop. Triplex outperforms few-shot prompted gpt-4o at 1/60th the inference cost.

Today SciPhi is open-sourcing Triplex, a SOTA LLM for knowledge graph construction. Triplex is so small that it can be used with SciPhi's R2R to build knowledge graphs directly from your laptop. Triplex outperforms few-shot prompted gpt-4o at 1/60th the inference cost.

Owen Colegrove

42,871 次观看 • 1 年前

RAG is not Memory. AI agents need long-term memory to maintain context and learn continuously. 5 frameworks for AI agent memory. 100% opensource. 1. Graphiti builds temporally-aware knowledge graphs for AI agents that change over time with evolving relationships and context.

RAG is not Memory. AI agents need long-term memory to maintain context and learn continuously. 5 frameworks for AI agent memory. 100% opensource. 1. Graphiti builds temporally-aware knowledge graphs for AI agents that change over time with evolving relationships and context.

Unwind AI

293,513 次观看 • 1 年前

How do we approach design? Try it for yourself. Want to join our discord for more insider knowledge ask in the comments.

How do we approach design? Try it for yourself. Want to join our discord for more insider knowledge ask in the comments.

Genie AI

17,957 次观看 • 5 个月前

Introducing knowledge bases for Poe bots! Starting today, bot creators can now add knowledge bases to their bots, to create more unique experiences grounded in any sources they provide, complete with citations. (1/5)

Introducing knowledge bases for Poe bots! Starting today, bot creators can now add knowledge bases to their bots, to create more unique experiences grounded in any sources they provide, complete with citations. (1/5)

Poe

73,233 次观看 • 2 年前

Check out these common #OnlineSafety myths and facts to brush up on your knowledge this #SaferInternetDay! 💭 Want to learn more? 👇 Explore our full library of FREE guides for parents, carers and educators today >>

Check out these common #OnlineSafety myths and facts to brush up on your knowledge this #SaferInternetDay! 💭 Want to learn more? 👇 Explore our full library of FREE guides for parents, carers and educators today >>

Wake Up Wednesday

39,127 次观看 • 3 年前

GraphRAG-UI GraphRAG-UI is a user-friendly interface for GraphRAG, a powerful tool that uses the Retrieval-Augmented Generation (RAG) approach to index and query large text data. This project supports the latest version graphrag-0.3.3 and aims to provide a convenient management and interaction method for GraphRAG, supporting the configuration of local large language models like Ollama, making it easier for users to leverage.

GraphRAG-UI GraphRAG-UI is a user-friendly interface for GraphRAG, a powerful tool that uses the Retrieval-Augmented Generation (RAG) approach to index and query large text data. This project supports the latest version graphrag-0.3.3 and aims to provide a convenient management and interaction method for GraphRAG, supporting the configuration of local large language models like Ollama, making it easier for users to leverage.

AK

27,249 次观看 • 1 年前

Brilliant open-source tool from Anthropic Visualize internal LLM pathways through open attribution graphs. → Attribution graphs reveal which neurons and features drive each output token, turning the LLM’s black box into a clear map. They open-sourced a library that generates attribution graphs to trace how LLMs arrive at outputs. These graphs reveal internal activation flows and feature influences in popular open-weights models. 🧠 Attribution Graphs Graphs link model activations to output tokens. Nodes represent neurons or features. Edges show influence strength. Researchers inspect paths to see which components drive each decision. 🛠️ Toolchain and Frontend Circuit-tracer library works with models like Gemma-2-2b and Llama-3.2-1b. Demo notebooks illustrate multi-step reasoning examples. Neuronpedia hosts an interactive UI for graph exploration, annotation, and sharing. 🔍 Hypothesis Testing Users tweak feature values in graphs, regenerate outputs, and observe changes. This lets researchers validate whether specific circuits control behaviors like language translation or reasoning chains.

Brilliant open-source tool from Anthropic Visualize internal LLM pathways through open attribution graphs. → Attribution graphs reveal which neurons and features drive each output token, turning the LLM’s black box into a clear map. They open-sourced a library that generates attribution graphs to trace how LLMs arrive at outputs. These graphs reveal internal activation flows and feature influences in popular open-weights models. 🧠 Attribution Graphs Graphs link model activations to output tokens. Nodes represent neurons or features. Edges show influence strength. Researchers inspect paths to see which components drive each decision. 🛠️ Toolchain and Frontend Circuit-tracer library works with models like Gemma-2-2b and Llama-3.2-1b. Demo notebooks illustrate multi-step reasoning examples. Neuronpedia hosts an interactive UI for graph exploration, annotation, and sharing. 🔍 Hypothesis Testing Users tweak feature values in graphs, regenerate outputs, and observe changes. This lets researchers validate whether specific circuits control behaviors like language translation or reasoning chains.

Rohan Paul

27,197 次观看 • 1 年前

how it felt walking into my school’s Scholastic Book Fair with $20 and a thirst for knowledge

how it felt walking into my school’s Scholastic Book Fair with $20 and a thirst for knowledge

Phillies Muse

186,967 次观看 • 1 年前

You can now view Knowledge Base retrieval chunks directly in the Test LLM feature🌐 Get full visibility into how your Knowledge Base is being used. Instantly verify whether queries retrieve the right information — and fine-tune as needed.

You can now view Knowledge Base retrieval chunks directly in the Test LLM feature🌐 Get full visibility into how your Knowledge Base is being used. Instantly verify whether queries retrieve the right information — and fine-tune as needed.

Sayly AI

60,480 次观看 • 3 个月前

Grateful to participate in the AFN Special Chiefs Assembly today. Partnership with First Nations is at the core of our mission to build. Only by working together can we build stronger communities and better futures for the next generation.

Grateful to participate in the AFN Special Chiefs Assembly today. Partnership with First Nations is at the core of our mission to build. Only by working together can we build stronger communities and better futures for the next generation.

Mark Carney

40,848 次观看 • 6 个月前

How have I lived for 25 years without this knowledge???

How have I lived for 25 years without this knowledge???

Today Years Old

8,378,982 次观看 • 2 年前

What if your second brain could actually think with you? Today, we're proud to release Ryzome - where your knowledge comes alive with AI. So, what exactly is Ryzome? and how is it changing the way people think, create, and do work? Thread 👇[1/12]

What if your second brain could actually think with you? Today, we're proud to release Ryzome - where your knowledge comes alive with AI. So, what exactly is Ryzome? and how is it changing the way people think, create, and do work? Thread 👇[1/12]

Tachi

35,927 次观看 • 10 个月前

Finally! A RAG over code solution that actually works (open-source). Naive chunking used in RAG isn't suited for code. This is because codebases have long-range dependencies, cross-file references, etc., that independent text chunks just can't capture. Graph-Code is a graph-driven RAG system that solves this. It analyzes the Python codebase and builds knowledge graphs to enable natural language querying. Key features: - Deep code parsing to extract classes, functions, and relationships. - Uses Memgraph to store the codebase as a graph. - Parses pyproject to understand external dependencies. - Retrieves actual source code snippets for found functions. Find the repo in the replies!

Finally! A RAG over code solution that actually works (open-source). Naive chunking used in RAG isn't suited for code. This is because codebases have long-range dependencies, cross-file references, etc., that independent text chunks just can't capture. Graph-Code is a graph-driven RAG system that solves this. It analyzes the Python codebase and builds knowledge graphs to enable natural language querying. Key features: - Deep code parsing to extract classes, functions, and relationships. - Uses Memgraph to store the codebase as a graph. - Parses pyproject to understand external dependencies. - Retrieves actual source code snippets for found functions. Find the repo in the replies!

Avi Chawla

121,867 次观看 • 11 个月前

Treat the whole patient with confidence. We’ll help you create treatment plans for patients with complex comorbidities. Free access to the Comorbidities Manager for all NHS staff and learners, funded by @NHS_HealthEdEng NHS Knowledge for Healthcare #NHSBMJBP

Treat the whole patient with confidence. We’ll help you create treatment plans for patients with complex comorbidities. Free access to the Comorbidities Manager for all NHS staff and learners, funded by @NHS_HealthEdEng NHS Knowledge for Healthcare #NHSBMJBP

BMJ Best Practice

1,556,418 次观看 • 3 年前

AI Agents can take your business to the next level, and Bird makes set up easier than ever. Dive into our Knowledge Base to learn how and explore a range of other valuable resources.

AI Agents can take your business to the next level, and Bird makes set up easier than ever. Dive into our Knowledge Base to learn how and explore a range of other valuable resources.

Bird

28,690 次观看 • 1 年前

Today’s decentralized applications are fragmented across a chaotic landscape of disconnected blockchains. It’s time to unite them once and for all. Explore the three layers of Anoma to create one application layer for all Web3. One place for apps that just work everywhere.

Today’s decentralized applications are fragmented across a chaotic landscape of disconnected blockchains. It’s time to unite them once and for all. Explore the three layers of Anoma to create one application layer for all Web3. One place for apps that just work everywhere.

Anoma

48,169 次观看 • 11 个月前

Watch our new Rust-based parser turn a 200+ page PDF packed with text, charts, and graphs into clean Markdown in seconds. Earnings calls, whitepapers, market research - Firecrawl can handle them all, giving you structured data ready for your AI pipeline.

Watch our new Rust-based parser turn a 200+ page PDF packed with text, charts, and graphs into clean Markdown in seconds. Earnings calls, whitepapers, market research - Firecrawl can handle them all, giving you structured data ready for your AI pipeline.

Firecrawl

61,987 次观看 • 3 个月前

There are over 70 one-page guides available to download for FREE from my website. Useful for building knowledge, developing a shared understanding about learning and supporting CPD. 🙏 Support my work by tapping REPOST and grab them here:

There are over 70 one-page guides available to download for FREE from my website. Useful for building knowledge, developing a shared understanding about learning and supporting CPD. 🙏 Support my work by tapping REPOST and grab them here:

Jamie Clark

20,973 次观看 • 7 个月前