Категории

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.2 Module Overview

Опубликовано: 03 Октябрь 2024
на канале: Databricks
8,995
72

To participate in discussion forums, enroll in our Large Language Models course on edX for free here: https://www.edx.org/course/large-lang...

All notebooks and slides are hosted on https://github.com/databricks-academy.... You can find slides under the Releases section.

#llms #largelanguagemodels #generativeai #llm #nlp #vectordb #vectorsearch #vectorlibrary #vectordatabase #embedding

play_arrow
2,129
322

Катрены Создателя ✴ 03.03.2024 “В этой жизни отдыха никому не полагается!” (003/1365)

Катрены Создателя ✴ 03.03.2024 “В этой жизни отдыха никому не полагается!” (003/1365)
play_arrow
882
10

EMERGENCY CALL 112 The Fire Fighting Simulation 2 - Single Player Career Mode - English #11

EMERGENCY CALL 112 The Fire Fighting Simulation 2 - Single Player Career Mode - English #11
play_arrow
2,127
7

Blue Screen of Death Download !

Blue Screen of Death Download !
play_arrow
1,972,410
21 тыс

WHAT IS THE CONDITION OF ISRAEL WHEN SEEN FROM ITS GEOGRAPHICAL LOCATION

WHAT IS THE CONDITION OF ISRAEL WHEN SEEN FROM ITS GEOGRAPHICAL LOCATION
play_arrow
531,407
11 тыс

Fortnite themed Midas Desktop Pet

Fortnite themed Midas Desktop Pet
play_arrow
1,014
8

Школа выживания 2013

Школа выживания 2013
play_arrow
99
0

CWMALLS® Customize Outer Space Shearling Bomber B-3 Jacket CW828665

CWMALLS® Customize Outer Space Shearling Bomber B-3 Jacket CW828665
play_arrow
1,563
18

Автоматизация исследования мочи с развернутой оценкой осадка:

Автоматизация исследования мочи с развернутой оценкой осадка: "секреты" интерпретации.
Похожие видео
play_arrow
Mosaic AI Gateway - Secure and Govern your AI

Mosaic AI Gateway - Secure and Govern your AI
play_arrow
Data + AI Summit 2023

Data + AI Summit 2023
play_arrow
LLM Module 6: LLMOps | 6.7 Notebook Demo

LLM Module 6: LLMOps | 6.7 Notebook Demo
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.13.1 Notebook Demo Part 1

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.13.1 Notebook Demo Part 1
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.10 Task specific Evaluations

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.10 Task specific Evaluations
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.6 Fine Tuning: LLMs as a Service

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.6 Fine Tuning: LLMs as a Service
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.3 Applying Foundation LLMs

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.3 Applying Foundation LLMs
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.4 Fine Tuning: Few-shot Learning

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.4 Fine Tuning: Few-shot Learning
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.2 Module Overview

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.2 Module Overview
play_arrow
LLM Module 4: Fine-tuning and Evaluating LLMs | 4.1 Introduction

LLM Module 4: Fine-tuning and Evaluating LLMs | 4.1 Introduction
play_arrow
LLM Module 3 - Multi-stage Reasoning | 3.7.1 Notebook Demo Part 1

LLM Module 3 - Multi-stage Reasoning | 3.7.1 Notebook Demo Part 1
play_arrow
LLM Module 3 - Multi-stage Reasoning | 3.3 Prompt Engineering

LLM Module 3 - Multi-stage Reasoning | 3.3 Prompt Engineering
play_arrow
LLM Module 3 - Multi-stage Reasoning | 3.1 Introduction

LLM Module 3 - Multi-stage Reasoning | 3.1 Introduction
play_arrow
LLM Module 3 - Multi-stage Reasoning | 3.2 Module Overview

LLM Module 3 - Multi-stage Reasoning | 3.2 Module Overview
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.8.2 Notebook Demo Part 2

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.8.2 Notebook Demo Part 2
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.8.1 Notebook Demo Part 1

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.8.1 Notebook Demo Part 1
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.6 Best Practices

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.6 Best Practices
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.5 Vector Stores

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.5 Vector Stores
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.2 Module Overview

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.2 Module Overview
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.4 Filtering

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.4 Filtering
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.3 How does Vector Search work

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.3 How does Vector Search work
play_arrow
LLM Module 2 - Embeddings, Vector Databases, and Search | 2.1 Introduction

LLM Module 2 - Embeddings, Vector Databases, and Search | 2.1 Introduction
play_arrow
LLM Module 1 - Applications with LLMs | 1.8 Summary

LLM Module 1 - Applications with LLMs | 1.8 Summary
play_arrow
LLM Module 1 - Applications with LLMs | 1.9 Notebook Demo

LLM Module 1 - Applications with LLMs | 1.9 Notebook Demo