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Everyday AI Podcast – An AI and ChatGPT Podcast


1 Ep 563: ChatGPT's New Custom GPT's: Advanced techniques to win back time 46:43
46:43
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אהבתי46:43
Think you know ChatGPT's custom GPTs? 🤔 Probably not. Last week, we tackled the basics and what's new with OpenAI's refreshed GPTs. For this AI Working Wednesdays episode, we're getting into some advanced techniques to hep you win back time. ↳ using the crazy powerful o3 model to your GPT's advantage ↳ context stacking ↳ custom actions to connect to third party sites Yeah.... don't sleep on this one shorties. Ep 563: ChatGPT's New Custom GPT's: Advanced techniques to win back time Newsletter: Sign up for our free daily newsletter More on this Episode: Episode Page Join the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn. Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup Website: YourEverydayAI.com Email The Show: info@youreverydayai.com Connect with Jordan on LinkedIn Topics Covered in This Episode: Custom GPTs: Advanced Techniques Overview OpenAI's Context Stacking Strategy O3 Model's Thinking Capabilities Building Efficient Custom GPTs Custom Actions and API Integration Zapier Integration for Dynamic Data ChatGPT's Context Window Management Creating Evergreen Podcast Content Timestamps: 00:00 Custom GPTs: Evolution and Insights 03:23 "Mastering GPT Context Stacking" 09:31 "Context Stacking in Chat GPT" 11:20 GPT Context Switching Advantage 15:33 Customizable GPT Usage Explained 19:51 Evergreen Episode Update Strategy 21:44 Optimizing AI for Continued Learning 23:48 "O-Series Models: Advanced AI Capabilities" 28:41 Building GPTs for Episode Research 30:03 GPT Model Customization and Sharing 33:18 Securing API Keys in GPTs 36:55 Zapier Enhances GPT Email Capabilities 42:12 "Use Chrome Extensions for Tokens" 43:48 "AI at Work Wednesdays Survey" Keywords: OpenAI's custom GPTs, advanced techniques, save time, context stacking, o three model, ChatGPT updates, logic and reasoning, plan ahead capabilities, agentic tools, custom actions, third party data, API, building GPTs, leveraging AI, context window, transformer model, generative AI, organization usage, fine tuning performance, productivity enhancement, AI agents, AI tools integration, custom configuration, everyday applications, tech strategies, new rendition, midweek break, AI experts, smarter AI usage, AI-powered planning, AI transformations. Ep 563: ChatGPT's New Custom GPT's: Advanced techniques to win back time Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner…
Workload Management: A Critical Aspect of Analytics at Scale
Manage episode 248013309 series 2582621
תוכן מסופק על ידי Teradata. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Teradata או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
In this episode, Carrie Ballinger introduces us to a critical requirement of managing data and analytics at scale—workload management.
- What is “workload management”?
- Why and when workload management is necessary
- The most important thing workload management enables
- How is workload management managed?
- Different types of workload management
- How workload management improves overall throughput
- Interesting workload management stories
6 פרקים
Manage episode 248013309 series 2582621
תוכן מסופק על ידי Teradata. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Teradata או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
In this episode, Carrie Ballinger introduces us to a critical requirement of managing data and analytics at scale—workload management.
- What is “workload management”?
- Why and when workload management is necessary
- The most important thing workload management enables
- How is workload management managed?
- Different types of workload management
- How workload management improves overall throughput
- Interesting workload management stories
6 פרקים
כל הפרקים
×You write a query and get data back. In between, magic happens. In this episode, we talk with Ron Luebke about the “query optimizer”—a critical component of that magic. We talk about query optimizers in general, what makes Teradata’s query optimizer a bit more magic than the rest, and how that magic gets extended beyond the relational database to other parts of a complete analytics ecosystem.…

1 Workload Management: A Critical Aspect of Analytics at Scale 31:44
31:44
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אהבתי31:44
In this episode, Carrie Ballinger introduces us to a critical requirement of managing data and analytics at scale—workload management. What is “workload management”? Why and when workload management is necessary The most important thing workload management enables How is workload management managed? Different types of workload management How workload management improves overall throughput Interesting workload management stories…
“There are many types of data that have many different types of relationships, and you need to manage that data based on value.” — Rob Armstrong, Teradata This week, Rob Armstrong shares all you need to know about data management by value—in just two shapes. Links The Circle and Square, All You Need to Know About Data and Analytics [blog post]…
Our guest this week is Tim Miller , from Teradata’s Technology & Innovation Office. He was a principal in the development of the first commercial in-database data mining system, which makes him a perfect choice to provide an overview of the data science process. New to data science? There may be occasional bouts of jargon you don’t understand. If so, don’t worry! Tim (naturally) uses terminology from the data science domain, but we always bring it back to plain-English explanations. What is data science? CRISP-DM: Cross-industry standard process for data mining [ Wikipedia ] Fundamental: What is the business problem we’re trying to address? Data science is a team sport Supervised and unsupervised learning How do you decide which techniques and algorithms to use? What is analytics ops? Happiness is “in-platform analytics”…

1 The Cloud Isn’t Magic (But It’s Kinda Magic) 33:41
33:41
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אהבתי33:41
“There are things in every single company that should be done in the cloud. On the flip side of the coin, not everything belongs in the cloud.” — Marc Clark Not sure what data and analytics scenarios make the most sense to do in the cloud? Maybe more importantly, are you sure which don’t? Marc Clark, Teradata’s Director Global Sales Enablement and Strategy, shares some clarity on the cloud. What are the right use cases for cloud analytics? What are the wrong ones? What’s the best way for a company to dip their toes into cloudy waters?…
In this episode, Rob Armstrong talks about the evolution and future of analytics.
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