Популярное

Музыка Кино и Анимация Автомобили Животные Спорт Путешествия Игры Юмор

Интересные видео

2025 Сериалы Трейлеры Новости Как сделать Видеоуроки Diy своими руками

Топ запросов

смотреть а4 schoolboy runaway турецкий сериал смотреть мультфильмы эдисон
dTub
Скачать

Beyond the Hype: A Realistic Look at Large Language Models • Jodie Burchell • GOTO 2024

GOTO

GOTOcon

GOTO Conference

GOTO (Software Conference)

Videos for Developers

Computer Science

Programming

Software Engineering

GOTOpia

Tech

Software Development

Tech Channel

Tech Conference

GOTOams

GOTO Amsterdam

Jodie Burchell

JetBrains

LLM

LLMs

Large Language Models

AI

GenAI

Generative AI

Kaggle

CUDA

Common Crawl

LSTMs

GPT

Автор: GOTO Conferences

Загружено: 19 июл. 2024 г.

Просмотров: 147 208 просмотров

Описание:

This presentation was recorded at GOTO Amsterdam 2024. #GOTOcon #GOTOams
https://gotoams.nl

Jodie Burchell - Data Scientist and Developer at JetBrains ‪@jodieburchell‬

RESOURCES
  / t_redactyl  
  / jodieburchell  
https://github.com/t-redactyl
https://t-redactyl.io

ABSTRACT
If you've been remotely tuned in to the latest developments in large language models (LLMs), you've likely been inundated with news, ranging from claims that these models will replace numerous white-collar jobs to declarations of sentience and an impending AI apocalypse. At this stage, the hype surrounding these models has far surpassed the actual useful information available.

In this talk, we’ll cut through the noise and delve deep into the current applications, risks, and limitations of LLMs. We’ll start with early research endeavours aimed at creating an "artificial brain" and trace the path that has led us to today's sophisticated text models. Along the way, we'll address how these models have been mistaken for intelligent systems.

We’ll shed light on the actual requirements for developing true artificial general intelligence, and see how far LLMs are from this goal. We’ll end with a practical demonstration of how you can use LLMs in a way that plays to their strengths, by showing you how to build a system which leans into these models’ powerful natural language capabilities. [...]

TIMECODES
00:00 Intro
03:01 Where are we and how did we get here?
13:35 Are LLMs "intelligent"?
27:29 Using LLMs
42:29 Outro

Download slides and read the full abstract here:
https://gotoams.nl/2024/sessions/3115

RECOMMENDED BOOKS
Alex Castrounis • AI for People and Business • https://amzn.to/3NYKKTo
Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ
Holden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning • https://amzn.to/3JVngcx
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRg
Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • https://amzn.to/2ZD7t0x
Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision • https://amzn.to/3m9HNjP

  / gotocon  
  / goto-  
  / goto_con  
  / gotoconferences  
#LLM #LargeLanguageModel #LimitationsOfLLMs #GenAI #AI #GenerativeAI #CUDA #CommonCrawl #LSTMs #Kaggle #JodieBurchell

CHANNEL MEMBERSHIP BONUS
Join this channel to get early access to videos & other perks:
   / @goto-  

Looking for a unique learning experience?
Attend the next GOTO conference near you! Get your ticket at https://gotopia.tech
Sign up for updates and specials at https://gotopia.tech/newsletter

SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily.
https://www.youtube.com/user/GotoConf...

Beyond the Hype: A Realistic Look at Large Language Models • Jodie Burchell • GOTO 2024

Поделиться в:

Доступные форматы для скачивания:

Скачать видео mp4

  • Информация по загрузке:

Скачать аудио mp3

Похожие видео

Adaptive Socio-Technical Systems with Architecture for Flow • Susanne Kaiser • GOTO 2024

Adaptive Socio-Technical Systems with Architecture for Flow • Susanne Kaiser • GOTO 2024

How to Improve LLMs with RAG (Overview + Python Code)

How to Improve LLMs with RAG (Overview + Python Code)

Introduction to Generative AI

Introduction to Generative AI

How AI Could Save (Not Destroy) Education | Sal Khan | TED

How AI Could Save (Not Destroy) Education | Sal Khan | TED

Open Conf 2024 Speech: Magy Kontou - 101 Digital Product design

Open Conf 2024 Speech: Magy Kontou - 101 Digital Product design

Как LLM могут хранить факты | Глава 7, Глубокое обучение

Как LLM могут хранить факты | Глава 7, Глубокое обучение

Как работает ChatGPT: объясняем нейросети просто

Как работает ChatGPT: объясняем нейросети просто

Музыка для работы — Deep Focus Mix для программирования, кодирования

Музыка для работы — Deep Focus Mix для программирования, кодирования

How to Build a Multi Agent AI System

How to Build a Multi Agent AI System

БОЕВИК! ПОСЛЕ 14 ЛЕТ В ПЛЕНУ БЫВШИЙ РАЗВЕДЧИК ВЕРНУЛСЯ ЧТОБЫ МСТИТЬ НАКАЗЫВАТЬ ОБИДЧИКОВ И УБИЙЦ!

БОЕВИК! ПОСЛЕ 14 ЛЕТ В ПЛЕНУ БЫВШИЙ РАЗВЕДЧИК ВЕРНУЛСЯ ЧТОБЫ МСТИТЬ НАКАЗЫВАТЬ ОБИДЧИКОВ И УБИЙЦ!

© 2025 dtub. Все права защищены.



  • Контакты
  • О нас
  • Политика конфиденциальности



Контакты для правообладателей: [email protected]