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محتوای ارائه شده توسط Michael Kennedy. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Michael Kennedy یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Everyday AI Podcast – An AI and ChatGPT Podcast


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…
#507: Agentic AI Workflows with LangGraph
Manage episode 486534727 series 1422209
محتوای ارائه شده توسط Michael Kennedy. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Michael Kennedy یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
If you want to leverage the power of LLMs in your Python apps, you would be wise to consider an agentic framework. Agentic empowers the LLMs to use tools and take further action based on what it has learned at that point. And frameworks provide all the necessary building blocks to weave these into your apps with features like long-term memory and durable resumability. I'm excited to have Sydney Runkle back on the podcast to dive into building Python apps with LangChain and LangGraph.
Episode sponsors
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Talk Python Courses
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Episode sponsors
Posit
Auth0
Talk Python Courses
Links from the show
Sydney Runkle: linkedin.com
LangGraph: github.com
LangChain: langchain.com
LangGraph Studio: github.com
LangGraph (Web): langchain.com
LangGraph Tutorials Introduction: langchain-ai.github.io
How to Think About Agent Frameworks: blog.langchain.dev
Human in the Loop Concept: langchain-ai.github.io
GPT-4 Prompting Guide: cookbook.openai.com
Watch this episode on YouTube: youtube.com
Episode #507 deep-dive: talkpython.fm/507
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy
LangGraph: github.com
LangChain: langchain.com
LangGraph Studio: github.com
LangGraph (Web): langchain.com
LangGraph Tutorials Introduction: langchain-ai.github.io
How to Think About Agent Frameworks: blog.langchain.dev
Human in the Loop Concept: langchain-ai.github.io
GPT-4 Prompting Guide: cookbook.openai.com
Watch this episode on YouTube: youtube.com
Episode #507 deep-dive: talkpython.fm/507
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy
711 قسمت
Manage episode 486534727 series 1422209
محتوای ارائه شده توسط Michael Kennedy. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Michael Kennedy یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
If you want to leverage the power of LLMs in your Python apps, you would be wise to consider an agentic framework. Agentic empowers the LLMs to use tools and take further action based on what it has learned at that point. And frameworks provide all the necessary building blocks to weave these into your apps with features like long-term memory and durable resumability. I'm excited to have Sydney Runkle back on the podcast to dive into building Python apps with LangChain and LangGraph.
Episode sponsors
Posit
Auth0
Talk Python Courses
…
continue reading
Episode sponsors
Posit
Auth0
Talk Python Courses
Links from the show
Sydney Runkle: linkedin.com
LangGraph: github.com
LangChain: langchain.com
LangGraph Studio: github.com
LangGraph (Web): langchain.com
LangGraph Tutorials Introduction: langchain-ai.github.io
How to Think About Agent Frameworks: blog.langchain.dev
Human in the Loop Concept: langchain-ai.github.io
GPT-4 Prompting Guide: cookbook.openai.com
Watch this episode on YouTube: youtube.com
Episode #507 deep-dive: talkpython.fm/507
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy
LangGraph: github.com
LangChain: langchain.com
LangGraph Studio: github.com
LangGraph (Web): langchain.com
LangGraph Tutorials Introduction: langchain-ai.github.io
How to Think About Agent Frameworks: blog.langchain.dev
Human in the Loop Concept: langchain-ai.github.io
GPT-4 Prompting Guide: cookbook.openai.com
Watch this episode on YouTube: youtube.com
Episode #507 deep-dive: talkpython.fm/507
Episode transcripts: talkpython.fm
--- Stay in touch with us ---
Subscribe to Talk Python on YouTube: youtube.com
Talk Python on Bluesky: @talkpython.fm at bsky.app
Talk Python on Mastodon: talkpython
Michael on Bluesky: @mkennedy.codes at bsky.app
Michael on Mastodon: mkennedy
711 قسمت
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