You’ll learn how ChatGPT works and this will provide many benefits, such as helping you to use the model more effectively, evaluate its outputs more critically, and staying informed about the latest developments in the field so you are better prepared to take advantage of new opportunities.

ChatGPT is a type of natural language processing model (NLP) known as a Generative Pretrained Transformer (GPT) developed by OpenAI. These are the two big terms we will focus on in this video. On top of that you will also get a base understanding of common Machine Learning techniques like supervised learning, and reinforcement learning, which were used to make ChatGPT as good as it is.

Use ChatGPT here: https://chat.openai.com/

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Video on my second channel about building a blog website with ChatGPT: https://youtu.be/Z6IYxbMdOms

Further Sources:
Scale AI, OpenAI's Greg Brockman: The Future of LLMs, Foundation & Generative Models (DALL·E 2 & GPT-3): https://youtu.be/Rp3A5q9L_bg

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This Edureka Big Data tutorial ( Big Data Hadoop Blog series: https://goo.gl/LFesy8 ) helps you to understand Big Data in detail. This tutorial will be discussing about evolution of Big Data, factors associated with Big Data, different opportunities in Big Data. Further it will discuss about problems associated with Big Data and how Hadoop emerged as a solution. Below are the topics covered in this Big Data tutorial:
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00:00:21 Agenda
00:01:20 Evolution of Technology
00:04:06 Social Media
00:05:38 Other Factors
00:06:36 What is Big Data
00:07:46 Volume
00:08:16 Variety
00:09:23 Velocity
00:12:05 Veracity
00:12:53 5 V's of Big Data
00:13:23 Big Data as an opportunity
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00:17:20 Problem with Smart Meter Big Data
00:17:42 How Smart Meter Big Data Is Analysed
00:20:14 ONCOR using IBM Smart Meter Solution
00:23:08 Problems with Big Data
00:28:25 Hadoop Distributed File System
00:29:47 Storing Data (Solution)
00:31:13 Store Different kinds of Data (Solution)
00:31:49 Processing Data Faster (Solution)
00:33:18 Hadoop Ecosystem
00:36:05 Big Data Hadoop Certification Training
00:38:36 Some Big Data & Hadoop Projects @ Edureka
00:40:31 Session In A Minute

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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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Description: This video is based on the Excel Full course. This Excel Full Course video will help you understand the fundamentals of Microsoft Excel, spreadsheet functionalities, and various crucial functions available in Excel, such as lookup, H lookup, sumif/s, counif/s, iferror, and others. Finally, you will see some most frequently asked interview questions based on Microsoft Excel.

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What is HTML (HyperText Markup Language)?
HTML is the most widely used language for developing web applications. It was created by Berners-Lee in the year 1991 but was first published in 1995. HTML 4 was a popular breakthrough version and got published in 1999. This version gained a lot of popularity and was adopted all over the globe for developing web applications. HTML 5 is the current version and was published in 2012. HTML is critical for web development, and if you’ve ever thought about choosing that career path, you’d unquestionably have come across this language. And that’s probably why you are here in the first place.

HTML stands for HyperText Markup Language. It is used for creating websites and web applications. Let’s break it down, so we understand the name better:
HyperText: HyperText refers to the “text wrapped within a text.” It is very similar to hyperlinks and contains an underlying text that, when clicked, redirects to a new webpage.

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The Google Cloud Platform Tutorial video will cover all the important concepts of Google Cloud Platform. Google Cloud Platform is a set of cloud computing services provided by Google that runs on the same infrastructure that Google uses for its end-user products like YouTube, Gmail, and more. In this video, we will be looking into what is GCP? GCP tutorial, AWS vs GCP, GCP web hosting, Google cloud ML, GCP fundamentals, Google Cloud Platform Fundamentals (CP100A) Certification Training.

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Do you want to see chatGPT coding Rasa rules and stories? In this second episode of the series on Generative AI, We covered, Auto-encoding, and Auto-Regressive models. What is Prompt Engineering with an Example, Drawbacks of GPT, and prompt injection. We also discussed hallucinations in GPT with a demo and training process of chatGPT. At last chatGPT codes Rasa rules and stories.

Links to Papers:
Attention Is All You Need: https://arxiv.org/abs/1706.03762
Training language models to follow instructions with human feedback : https://arxiv.org/abs/2203.02155

Learn more about Rasa: https://rasa.com
Rasa documentation: http://rasa.com/docs
Join the Rasa Community: https://forum.rasa.com
Twitter: https://twitter.com/Rasa_HQ
Facebook: https://www.facebook.com/RasaHQ
Linkedin: https://www.linkedin.com/company/rasa
You can connect with me on: https://twitter.com/sonam_pankaj_


Chapters:-
0:00 Introduction
0:31 Papers
01:08 Language Models
1:22 Transformers
1:52 Auto-Encoding
2:18 Auto-Regressive
2:48 Hallucination in Generative Models
4:21 chatGPT
4:56 Prompt Engineering
5:18 Prompt engineering examples
6:06 chatGPT training steps
6:30 chatGPT training step-2
7:15 chatGPT training steps-3
7:43 chatGPT codes Rasa Rules and Stories
9:48 Prompt Injection


#generative #ai #chatgpt #chatbot #nlp #opensource

In this talk, we will cover the basics of Reinforcement Learning from Human Feedback (RLHF) and how this technology is being used to enable state-of-the-art ML tools like ChatGPT. Most of the talk will be an overview of the interconnected ML models and cover the basics of Natural Language Processing and RL that one needs to understand how RLHF is used on large language models. It will conclude with open question in RLHF.

RLHF Blogpost: https://huggingface.co/blog/rlhf
The Deep RL Course: https://hf.co/deep-rl-course
Slides from this talk: https://docs.google.com/presen....tation/d/1eI9PqRJTCF
Nathan Twitter: https://twitter.com/natolambert
Thomas Twitter: https://twitter.com/thomassimonini

Nathan Lambert is a Research Scientist at HuggingFace. He received his PhD from the University of California, Berkeley working at the intersection of machine learning and robotics. He was advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab and Roberto Calandra at Meta AI Research. He was lucky to intern at Facebook AI and DeepMind during his Ph.D. Nathan was was awarded the UC Berkeley EECS Demetri Angelakos Memorial Achievement Award for Altruism for his efforts to better community norms.

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This full course " Project Management Basics For Beginners" is an all in one guide for the beginners in this domain. A lot of people want to make a career in this field but lack the understanding of where to start learning and how to learn project management. There are definitely a lot of resources available out on the internet but they are just as confusing. Keeping this in mind, we at Simplilearn have created this amazing and comprehensive Project Management Basics course specifically for people who want to venture in the field of Project Management or people who want to have a refresher of the most important and most fundamental concepts. In this video we will be covering everything from scratch, so whether you are a beginner or someone who is looking to upskill this video os for all.

00:00 Introduction to Project Management
What is Project Management
The Project Life Cycle
Project Management Knowledge Areas
What is project planning
Project planning using Gantt Charts
Project management Framework
PMP Exam prep 6th edition
Project management roles and responsibility

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This video on the "Artificial Intelligence full course" video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.
Below are the topics covered in this AI and ML full course:

Artificial Intelligence Full Course 2022
Artificial Intelligence Basics
Top 10 AI Technologies 2022
Top 10 AI Companies for 2022
Machine Learning Algorithms
Linear Regression
Decision Tree
SVM
Clustering
K-means Clustering
Logistic Regression
KNN
Perceptron
RNN
Keras
CNN classification
Sequential Model

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⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

#ArtificialIntelligenceFullCourse #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #MachineLearningTutorial #AITutorial #AIAndML #Simplilearn

What Exactly is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (data) like humans without direct programming. When exposed to new data, these applications learn, grow, change, and develop by themselves. In other words, with Machine Learning, computers find insightful information without being told where to look. Instead, they do this by leveraging algorithms that learn from data in an iterative process.

What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
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✅ Skills Covered

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Learn how to create an expert level artificial intelligence to play Connect Four using Python. We start out with a very simple implementation of just dropping a piece randomly and then progress to choosing a column based on score and then finally implementing the minimax algorithm with alpha beta pruning.

💻 Initial code: https://github.com/KeithGalli/Connect4-Python

🎥Developing the initial connect four game: https://youtu.be/XpYz-q1lxu8
🎥How a board game AI works: https://youtu.be/y7AKtWGOPAE
🎥Alpha-beta pruning: https://youtu.be/l-hh51ncgDI

Video from Keith Galli. Check out his channel: https://www.youtube.com/channe....l/UCq6XkhO5SZ66N04Ic

Keith on social media:
https://www.instagram.com/keithgalli/
https://twitter.com/keithgalli/

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://medium.freecodecamp.org

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0:01:14 How To Change Lower Case To Upper Case In Excel?
0:01:33 How To Add Rows In Excel?
0:02:57 How To Add Columns In Excel?
0:02:48 How To Select Entire Column In Excel?
0:07:19 How to Compare Two Columns In Excel?
0:01:37 How To Convert Rows To Columns In Excel?
0:01:45 How to Group Rows in Excel?
0:03:47 How To Remove Blank Rows In Excel?
0:02:29 How To Freeze Row In Excel Tutorial
0:02:45 How to Convert Number to Words in Excel?
0:02:28 Combining Data From Multiple Cells In Excel
0:04:45 How To Merge Cells In Excel
0:01:36 How to Add Date in Excel?
0:03:54 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
0:01:54 How To Calculate Age In Excel From A Date Of Birth?
0:01:38 How To Calculate Time Difference in Excel?
0:05:05 DAX In Excel Explained
0:04:11 Checkboxes In Excel
0:02:06 How to Insert Excel in PPT?
0:03:27 How To Insert Image In Excel?
0:03:28 How To Insert PDF in Excel Sheet ?
0:04:33 How To Convert PDF To Excel
0:02:57 How to Insert Tick Mark in Excel?
0:02:52 How to add Watermark in Excel?
0:02:54 How to Increase Cell Size in Excel?
0:03:18 How to create Barcode In Excel
0:04:51 Excel Flash Fill
0:12:44 How to Add Hyperlink In Excel
0:02:34 Excel Round Off Formula
0:06:32 How To Calculate Standard Deviation In Excel?
0:04:21 Index Match In Excel
0:01:30 How to Sort by Date in Excel?
0:03:06 How to Use AutoSum In Excel
0:09:36 How To Sort Data In Excel?
0:04:23 Slicer and Filter in Excel
0:01:31 How to Add Filters in Excel
0:04:27 Goal Seek In Excel
0:10:57 How to Create Drop Down List In Excel?
0:26:42 Data Validation In Excel
0:06:26 How To Lock(Protect) Cells In Excel
0:00:48 How To Calculate Average In Excel?
0:18:03 Excel Print Page Setup
0:01:48 Page Break In Excel For Beginners
0:03:20 Conditional Formatting In Excel
0:05:45 How to Count Colored Cells in Excel?
0:03:13 DateDif In Excel Explained
0:04:08 Remove Duplicates In Excel
0:07:36 SUMIFS Formula in Excel
0:04:18 How To Create Pivot Tables In Excel?
0:03:22 Autofill In Excel Explained
0:01:46 How to Calculate Percentage In Excel
0:03:56 How To Highlight Duplicates In Excel?
0:17:58 Charts In Excel

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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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37 гривень на «Гнів Пречистий» ➡️ https://send.monobank.ua/jar/7MgRmb8MyE 🔥

Переклав: Vladee Flava.
Озвучили: Vladee Flava, Юрій Чеков, Валерія-Анастасія Пришляк, Олексій Великий, Юлія Оліяр, Юра Кавратка, Таня Дворжак, Олег Андрощук, Лариса Пришляк та Валентин Глушко.

Оригінал: https://youtu.be/d6iQrh2TK98?si=PRo0bcK3J3-Mok34

PROМОВА (ПРОЄКТ МОВА) - створений задля поширення та популяризації українськомовного контенту, основу каналу складають іноземні відео вперше озвучені українською мовою.

ПІДТРИМАЙТЕ ПРОЄКТ МОВА ФІНАНСОВО:
➡️ https://bmc.link/projektmova/membership - Buy Me A Coffee ☕
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Окрема подяка: Анатолій Партика, Євгеній Домарєв, Раймонд Пермінов, Денис Мартиненко, Олександр Білецький 🔥

➡️ https://instagram.com/projektmova 📱
➡️ https://t.me/projektmova 📱

#VERITASIUM #ЯДЕРНИЙКРАТЕР #ПРОЄКТМОВА

Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

В мире робототехники существует много соревнований, и, возможно одно из самых странных — забеги робомышей по лабиринту. Так называемые «микромыши» должны самостоятельно найти кратчайший путь к цели, а затем пройти его как можно быстрее. Состязания проводятся регулярно уже пару десятков лет, и Дерек Маллер с канала Veritasium посетил одно из них, чтобы пообщаться с участниками и узнать, что же их привлекает в этом нестандартном виде спорта.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Алексей Гущенко
Озвучка: Дмитрий Чепусов, Алексей Никитин
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider
Озвучки Vert Dider выходят с вашей помощью:

Alexander Lebedev, Lexx, Nikrodol, Rashn, Rincewind, Sonra44, Шурик Самара, Artem Piskarev, Artem Sobolenkov, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, dv0, Адам Шифф, Арс Ник, Василий , Глеб Кочергин, Иван Новиков, Илья Зверев, Никита Омельницкий, Тимур Абдуллин, Точка Зрения, Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Ira Kozlovskaya, Amir, Куляш, Anatoly Ressin, Мikhail Samin, Pavel Parpura, Vitaliy Vachynyuk, Anton Bolotov, Таисия, Eugene Tsaplin, Ника Калмыкова, opperatius, Katoto Chan, Oleg Zingilevskiy, angel, Victor Cazacov, Kirill Zaslavskii, Vladimir Sharich, Oleksandr Hrebeniuk, Vadim Velicodnii, Artem Amirbekov, Evgeny Vrublevsky, Ihar Marozau, Morock_D, Katya Ma, Николай Шпотаковский, Maxim Korotkov, Timur Sattarov, Alex Kulakov, Janis Riekstins, Anna Ostrovskaya, Vladyslav Sokolenko, Dzmitryi Halyava, Irina Shakhverdova, Leonid Steinberg, Aleksei Shabalin, Alexander Goida.

#vertdider #veritasium

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/ZMQbHMgK2rw

Learn how to fine tuning LLM models. This course will teach you fine tuning using using QLORA and LORA, as well as Quantization using LLama2, Gradient and the Google Gemma model. This crash course includes both theoretical and practical instruction to help you understand how to perform fine tuning.

💻 Code: https://github.com/krishnaik06/Finetuning-LLM

✏️ Course developed by @krishnaik06

⌨️ (0:00:00) Introduction
⌨️ (0:01:39) Quantization Intuition
⌨️ (0:34:03) Lora And QLORA Indepth Intuition
⌨️ (0:56:26) Finetuning With LLama2
⌨️ (1:20:35) 1 bit LLM Indepth Intuition
⌨️ (1:37:33) Finetuning with Google Gemma Models
⌨️ (1:59:45) Building LLm Pipelines With No code
⌨️ (2:20:33) Fine tuning With Own Custom Data

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

This is the 1st video in a series on using large language models (LLMs) in practice. I introduce LLMs and three levels of working with them.

▶️ Series Playlist: https://www.youtube.com/playli....st?list=PLz-ep5RbHos
📰 Read more: https://towardsdatascience.com..../a-practical-introdu

Music by Me
https://soundcloud.com/shawhin....-talebi/letsalljustt
https://www.youtube.com/@shawhin-music

--
Homepage: https://shawhintalebi.com/

Intro - 0:00
What is an LLM? - 1:13
Zero-shot Learning - 3:36
How do LLMs work? - 5:44
3 Levels of Using LLMs - 7:52
Level 1: Prompt Engineering - 8:22
Level 2: Model Fine-tuning - 11:00
Level 3: Build your own - 13:13

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#ChatGPTExpertCourse #ChatGPT Expert #ChatGPT #ChatGPTForBeginners #ChatGPT #Chat_GPT #ChatGPTTutorial #ChatGPTForBeginners #Simplilearn

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

✅ Key Features

- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
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- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

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👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=09AugCHATGPTFC&utm_medium=Description&utm_source=youtube

It’s been over a year since I last made a list like this so I decided to give it an update. I also decided to make this an annual list. The top 100 songs that I believe the most people in the world will recognize. I looked at charts, streams, sales, and overall pop culture relevance but at the end of the day, this is all just my opinion (which makes this list even more correct).

No Christmas songs, children’s songs, classical music, or film scores were included as that would take up 90% of the list and make it boring.

Spotify playlist: https://open.spotify.com/playlist/50ozhW6x8mS6r64G4Dru0c?si=5g86KH9nSOmyBnrC8UkbRA&pi=u-G6q8mcW6Sxab
Thumbnail: https://youtube.com/@Queen?si=vQYckgvP5U9G_4_E

Top 100 Most Recognizable Songs of All Time (2024 version)

#music #songs #top100

While much of the world is focused on large language models, our Salesforce AI Research teams are looking at smaller models that offer unique advantages in speed, cost, and accessibility. In this episode, learn what Small Language Models are, how they work and how they can be used for task-specific situations like personal agents on wearable devices like smart watches and robotics.

Learn more about Agentforce: https://www.salesforce.com/agentforce/
Learn more about AI Agents: https://www.salesforce.com/agentforce/ai-agents/

The AI Research Lab - Explained gives you a sneak peak of cutting-edge AI techniques developed by Salesforce’s very own AI Research group. Along the way, we’ll demystify complex concepts and share real-world insights—all from the forefront of research.

#Salesforce #Agentforce

Subscribe to Salesforce’s YouTube Channel: http://bit.ly/SalesforceSubscribe

Learn more about Salesforce: https://www.salesforce.com
Facebook: https://www.facebook.com/salesforce
Twitter: https://www.twitter.com/salesforce
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LinkedIn: https://www.linkedin.com/company/salesforce

About Salesforce:
Improve customer relationships with Salesforce, the #1 AI CRM where humans with agents drive customer success together. Our integrated platform pairs your unified customer data with trusted agents that can assist, take action autonomously, and hand off seamlessly to your employees in sales, service, marketing, commerce, and more.

Disclaimer: This video is for demonstration purposes only. All account data depicted is fictional and does not contain personally identifiable information (PII). This content is intended solely to illustrate product functionality in a simulated environment.