Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Rag is Dead #rag #llm #llm

Professor Glitch

114,300 subscribers

27,500 Aufrufe • vor 7 Monaten •via TikTok

Wissenschaft & Technologie #rag #llm

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Rag VS LLM Explained #llm #rag #learnai #edutok

Rag VS LLM Explained #llm #rag #learnai #edutok

Professor Glitch

13,900 Aufrufe • vor 8 Monaten

Rag VS Finetuning #rag #llm

Rag VS Finetuning #rag #llm

Professor Glitch

16,100 Aufrufe • vor 6 Monaten

lHow to Build Karpathy LLM wiki second brain #secondbrain #llm #rag

lHow to Build Karpathy LLM wiki second brain #secondbrain #llm #rag

Professor Glitch

34,000 Aufrufe • vor 6 Monaten

👨🏻‍💻 LLM Engineer Toolkit - Collection of 120+ LLM Libraries Category Wise LLM Engineer Toolkit repository contains a curated list of 120+ LLM libraries category wise. 🚀 LLM Training 🧱 LLM Application Development 🩸LLM RAG 🟩 LLM Inference 🚧 LLM Serving 📤 LLM Data Extraction 🌠 LLM Data Generation 💎 LLM Agents ⚖️ LLM Evaluation 🔍 LLM Monitoring 📅 LLM Prompts 📝 LLM Structured Outputs 🛑 LLM Safety and Security 💠 LLM Embedding Models ❇️ Others Repo -

👨🏻‍💻 LLM Engineer Toolkit - Collection of 120+ LLM Libraries Category Wise LLM Engineer Toolkit repository contains a curated list of 120+ LLM libraries category wise. 🚀 LLM Training 🧱 LLM Application Development 🩸LLM RAG 🟩 LLM Inference 🚧 LLM Serving 📤 LLM Data Extraction 🌠 LLM Data Generation 💎 LLM Agents ⚖️ LLM Evaluation 🔍 LLM Monitoring 📅 LLM Prompts 📝 LLM Structured Outputs 🛑 LLM Safety and Security 💠 LLM Embedding Models ❇️ Others Repo -

Kalyan KS

17,297 Aufrufe • vor 1 Jahr

Introducing `Personalized Agentic RAG` - where the LLM remembers key details about the user and automatically chooses the tool for RAG. We'll build: 👏 ChatGPT like memory ⚙️ Function calling 🧙 Multi-Agent orchestration code:

Introducing `Personalized Agentic RAG` - where the LLM remembers key details about the user and automatically chooses the tool for RAG. We'll build: 👏 ChatGPT like memory ⚙️ Function calling 🧙 Multi-Agent orchestration code:

Ashpreet Bedi

45,082 Aufrufe • vor 2 Jahren

Lets build `Auto-RAG` where we let the LLM pull the data it needs from different sources. 🔎 The user asks a question. 🤔 LLM decides whether to search its knowledge, memory, internet or make an API call. ✍️ LLM answers with the context. Code:

Lets build `Auto-RAG` where we let the LLM pull the data it needs from different sources. 🔎 The user asks a question. 🤔 LLM decides whether to search its knowledge, memory, internet or make an API call. ✍️ LLM answers with the context. Code:

Ashpreet Bedi

174,580 Aufrufe • vor 2 Jahren

If you don't know how to trace & evaluate LLM apps yet, read this👇 In this video I used Opik to: - Trace regular LLM calls. - Trace a RAG workflows. - Evaluate the workflow. 100% Open-source!

If you don't know how to trace & evaluate LLM apps yet, read this👇 In this video I used Opik to: - Trace regular LLM calls. - Trace a RAG workflows. - Evaluate the workflow. 100% Open-source!

Akshay 🚀

18,683 Aufrufe • vor 1 Jahr

Andrew Ng + Google showed the foundation behind modern "RAG", "Graph RAG" and semantic retrieval: • 12:00 - turning text into embeddings that capture meaning • 24:00 - visualizing semantic relationships between vectors • 35:00 - using embeddings for classification, clustering and outlier detection • 50:00 - controlling LLM generation with temperature, top-k and top-p • 1:04:00 - semantic search with ScaNN • 1:15:00 - combining retrieval + an LLM into a RAG-style Q&A system - 84-minute deep dive, and one of the clearest explanations of what happens underneath retrieval systems The progression is simple: Text → Embeddings → Similarity → Semantic Search → Retrieval → LLM Answer Most people jump straight into RAG frameworks without understanding this layer Andrew Ng starts one level lower and shows why retrieval works in the first place Watch it today, then read the full "RAG → Context Graphs" roadmap below

Andrew Ng + Google showed the foundation behind modern "RAG", "Graph RAG" and semantic retrieval: • 12:00 - turning text into embeddings that capture meaning • 24:00 - visualizing semantic relationships between vectors • 35:00 - using embeddings for classification, clustering and outlier detection • 50:00 - controlling LLM generation with temperature, top-k and top-p • 1:04:00 - semantic search with ScaNN • 1:15:00 - combining retrieval + an LLM into a RAG-style Q&A system - 84-minute deep dive, and one of the clearest explanations of what happens underneath retrieval systems The progression is simple: Text → Embeddings → Similarity → Semantic Search → Retrieval → LLM Answer Most people jump straight into RAG frameworks without understanding this layer Andrew Ng starts one level lower and shows why retrieval works in the first place Watch it today, then read the full "RAG → Context Graphs" roadmap below

Morlex

34,790 Aufrufe • vor 2 Monaten

RAG is dead. long live RAG — index, generate embeddings and start querying in just a few steps with the new @cloudflaredev autoRAG

RAG is dead. long live RAG — index, generate embeddings and start querying in just a few steps with the new @cloudflaredev autoRAG

rita kozlov 🐀

108,052 Aufrufe • vor 1 Jahr

What is RAG? #rag #aiagents

What is RAG? #rag #aiagents

Professor Glitch

49,000 Aufrufe • vor 2 Monaten

What is LLM #ai #learnai #llm #edutok

What is LLM #ai #learnai #llm #edutok

Professor Glitch

11,500 Aufrufe • vor 8 Monaten

Cohere has just launched Rerank-3, now available in our "RAG using ⌘R+" Studio. Experience Cohere's Full-stack RAG capabilities in this document chat app using: - Cohere's ⌘R+ as LLM - Cohere's Embed V3 - And Cohere's Rerank-3 Powered by LlamaIndex 🦙 🦙 Take it for a spin, launch Lightning AI ⚡️⚡️ studio now:

Cohere has just launched Rerank-3, now available in our "RAG using ⌘R+" Studio. Experience Cohere's Full-stack RAG capabilities in this document chat app using: - Cohere's ⌘R+ as LLM - Cohere's Embed V3 - And Cohere's Rerank-3 Powered by LlamaIndex 🦙 🦙 Take it for a spin, launch Lightning AI ⚡️⚡️ studio now:

Akshay 🚀

85,967 Aufrufe • vor 2 Jahren

9 huge AI agents, MCP, RAG, and LLM updates this week: 1. OpenAI Operator costs $200/month. This web AI agent is free and better. It can read interfaces, click buttons, fill forms, and execute real tasks online - 100% autonomously.

9 huge AI agents, MCP, RAG, and LLM updates this week: 1. OpenAI Operator costs $200/month. This web AI agent is free and better. It can read interfaces, click buttons, fill forms, and execute real tasks online - 100% autonomously.

Unwind AI

64,385 Aufrufe • vor 1 Jahr

Build a local LLM app with RAG to chat with Google Drive data using Mistral or Llama-3 running locally on your computer without wiring a single line of Python Code (100% free and without internet):

Build a local LLM app with RAG to chat with Google Drive data using Mistral or Llama-3 running locally on your computer without wiring a single line of Python Code (100% free and without internet):

Shubham Saboo

189,778 Aufrufe • vor 2 Jahren

Our new RAG CLI tool lets you RAG any file on your filesystem, using only on-device LLMs/embeddings! 💾🔎 Using LlamaIndex 🦙, Mistral-7B on ollama, and bge-m3, you have access to an LLM-powered grep that you can easily install, use, and customize. Can input any files including glob strings. LlamaPack: We also have the recipe for you to build your own RAG CLI from scratch. Check out this excellent guide by Sourabh Desai:

Our new RAG CLI tool lets you RAG any file on your filesystem, using only on-device LLMs/embeddings! 💾🔎 Using LlamaIndex 🦙, Mistral-7B on ollama, and bge-m3, you have access to an LLM-powered grep that you can easily install, use, and customize. Can input any files including glob strings. LlamaPack: We also have the recipe for you to build your own RAG CLI from scratch. Check out this excellent guide by Sourabh Desai:

LlamaIndex 🦙

40,124 Aufrufe • vor 2 Jahren

Rag explained 60 second #rag #ai #learnai #edutok

Rag explained 60 second #rag #ai #learnai #edutok

Professor Glitch

53,600 Aufrufe • vor 8 Monaten