Creating a contextual workspace in ChatGPT
Key Takeaways
The video demonstrates how to create a contextual workspace in ChatGPT using the Projects feature, which allows users to organize files, save context, and keep conversations consistent across projects. It showcases how to use Projects to generate a go-to-market strategy using internal context.
Full Transcript
Projects live in the sidebar above your chats. What we're going to do is we're going to create a new project here today by clicking on our sidebar, new project, and creating a new name. We're going to look at this as an analytic product launch. Now, we want our project to have some context. In this case, I'm going to upload a PRD, some customer feature requests, and maybe a market analysis conducted via deep research. Once I've uploaded a document, it becomes context for any of our chats within this project. You can also set up some custom instructions to tailor a way that chat GBT responds. In this case, I want chat to pretend to be a product operations advisor or VP of product. Now, any chat within projects has this context and it also has the instructions. I'm looking to build out a detailed launch plan. I want to look into different regions and to find any potential risks. Projects works with 01 and I'm going to select this because I want to build a complex launch plan taking into consideration a bunch of constraints. As you can see with 01, it has a chain of thought when crafting my launch plan. It's referencing the documents I've uploaded. It's looking at the marketing and engineering teams. It's really giving me a really robust answer. We can now see that the output is a pretty detailed six week launch plan. Normally putting a first draft together like this would mean slowly writing and referencing all my uploaded documents. But here I'm able to have a first draft in a number of minutes. Relevant documents are also referenced throughout this showing that they've been read by chatbt before building in the plan. You can see here that we've referenced a few of them. Let's say I want to find events that we want our marketing team to present at a launch in North America. I'm going to start a new chat within our project and then I'm going to add in my prompt to say that we want to be specifically focusing on North America and Europe. I'm going to enable 40 so that I have my search capabilities. As you can see here, we're going out and searching. So, it's going through the web to find out what are some of the relevant events within these locations. We can now see that it has sharable links and citations so that we can follow up on this later on. We can now return to our homepage where we're going to have the history of the two chats that we've asked within our projects. It's a really powerful way to centralize chats in a particular workstream and ensure Chat GBT has the same context as your project team to help you work smarter and faster.
Original Description
Discover how ChatGPT’s Projects feature helps you organize files, save context, and keep conversations consistent across your projects. In this demo, we use Projects to generate a go-to-market strategy using all the internal context that one of our colleagues might have.
Built for operations leads, program managers, and business teams who want ChatGPT to get up to speed on their projects faster.
🔗 Learn more:
OpenAI for Business: https://openai.com/business
Or, try it out in product: https://chatgpt.com/#team-pricing
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from OpenAI · OpenAI · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Robots that Learn
OpenAI
Emergence of Grounded Compositional Language in Multi-Agent Populations
OpenAI
OpenAI + Dota 2
OpenAI
Dendi vs. OpenAI at The International 2017
OpenAI
Competitive Self-Play
OpenAI
Learning a Hierarchy
OpenAI
Physical Spam Detection
OpenAI
Ingredients for Robotics Research
OpenAI
OpenAI Five
OpenAI
OpenAI Five: Dota Gameplay
OpenAI
Learning Dexterity
OpenAI
Learning Dexterity: Uncut
OpenAI
OpenAI Five Benchmark: Post-Game Analysis
OpenAI
Investigating Model Based RL for Continuous Control | Alex Botev | 2018 Summer Intern Open House
OpenAI
Generative Modelling | Sadhika Malladi | 2018 Summer Intern Open House
OpenAI
A pathway to more efficient generative models | Will Grathwohl | 2018 Summer Intern Open House
OpenAI
Learning Dexterity | Alex Ray | 2018 Summer Intern Open House
OpenAI
Robust Vision-Based State Estimation | Hsiao-Yu 'Fish' Tung | 2018 Summer Intern Open House
OpenAI
Using Semantic Trees In Place of Sentences | Munashe Shumba | OpenAI Scholars Demo Day 2018
OpenAI
Reinforcement Learning with Prediction-Based Rewards
OpenAI
OpenAI Spinning Up in Deep RL Workshop
OpenAI
Arena Announcement and Closing | OpenAI Five Finals (6/6)
OpenAI
Co-Op Match | OpenAI Five Finals (5/6)
OpenAI
OpenAI Five vs. OG, Game 2 | OpenAI Five Finals (4/6)
OpenAI
OpenAI Five vs. OG, Game 1 | OpenAI Five Finals (3/6)
OpenAI
Pre-Match Panel Discussion | OpenAI Five Finals (2/6)
OpenAI
Opening Keynote | OpenAI Five Finals (1/6)
OpenAI
OpenAI Robotics Symposium 2019
OpenAI
OpenAI Scholars Demo Day 2019
OpenAI
Multi-Agent Hide and Seek
OpenAI
Solving Rubik’s Cube with a Robot Hand: Uncut
OpenAI
Solving Rubik’s Cube with a Robot Hand: Perturbations
OpenAI
Solving Rubik’s Cube with a Robot Hand
OpenAI
Music Generation | Christine Payne | OpenAI Scholars Demo Day 2018
OpenAI
Deephypebot | Nadja Rhodes | OpenAI Scholars Demo Day 2018
OpenAI
Physics Net | Ifu Aniemeka | OpenAI Scholars Demo Day 2018
OpenAI
Art Composition Attributes + CycleGAN | Holly Grimm | OpenAI Scholars Demo Day 2018
OpenAI
Generating Emotional Landscapes | Hannah Davis | OpenAI Scholars Demo Day 2018
OpenAI
Looking For Grammar In All The Right Places | Alethea Power | OpenAI Scholars Demo Day 2020
OpenAI
Semantic Parsing English to GraphQL | Andre Carerra | OpenAI Scholars Demo Day 2020
OpenAI
Long term credit assignment with temporal reward transp… | Cathy Yeh | OpenAI Scholars Demo Day 2020
OpenAI
Social learning in independent multi-agent reinfor… | Kamal N’dousse | OpenAI Scholars Demo Day 2020
OpenAI
Quantifying Interpretability of Models Trained on Coi… | Jorge Orbay | OpenAI Scholars Demo Day 2020
OpenAI
Towards Epileptic Seizure Prediction with Deep Network | Kata Slama | OpenAI Scholars Demo Day 2020
OpenAI
Universal Adversarial Perturbations and Language M… | Pamela Mishkin | OpenAI Scholars Demo Day 2020
OpenAI
Introductions by Sam Altman & Greg Brockman | OpenAI Scholars Demo Day 2020
OpenAI
Introduction by Sam Altman | OpenAI Scholars Demo Day 2021
OpenAI
Breaking Contrastive Models with the SET Card Game | Legg Yeung | OpenAI Scholars Demo Day 2021
OpenAI
Large Scale Reward Modeling | Jonathan Ward | OpenAI Scholars Demo Day 2021
OpenAI
Words to Bytes: Exploring Language Tokenizations | Sam Gbafa | OpenAI Scholars Demo Day 2021
OpenAI
Learning Multiple Modes of Behavior in a Continuous… | Tyna Eloundou | OpenAI Scholars Demo Day 2021
OpenAI
Scaling Laws for Language Transfer Learning | Christina Kim | OpenAI Scholars Demo Day 2021
OpenAI
Contrastive Language Encoding | Ellie Kitanidis | OpenAI Scholars Demo Day 2021
OpenAI
Characterizing Test Time Compute on Graph Structur… | Kudzo Ahegbebu | OpenAI Scholars Demo Day 2021
OpenAI
Studying Scaling Laws for Transformer Architecture … | Shola Oyedele | OpenAI Scholars Demo Day 2021
OpenAI
Feedback Loops in Opinion Modeling | Danielle Ensign | OpenAI Scholars Demo Day 2021
OpenAI
Creating a Space Game with OpenAI Codex
OpenAI
“Hello World” with OpenAI Codex
OpenAI
Talking to Your Computer with OpenAI Codex
OpenAI
Data Science with OpenAI Codex
OpenAI
More on: LLM Foundations
View skill →Related Reads
🎓
Tutor Explanation
DeepCamp AI