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1 72: If You Want to Grow—Stop Fixing the Wrong Problem 16:32
[Bonus] LLMs making Web-Browsing Decisions
Manage episode 421443630 series 3519364
[Bonus] This is a bonus episode. We had too many unreleased episodes in our backlog, so we decided to give you an extra treat this week! Hope you enjoy it!
Join the discussion on how AI agents can intelligently browse websites to retrieve specific information across links and pages. The hosts dive deep into techniques like embedding link text, URL paths, and accessibility attributes to compare against the desired information goal. They explore methods to filter and re-rank links through this embedding approach, accounting for factors like the total number of links per page and whether the target requires navigating across multiple sites.
The conversation covers setting reasonable boundaries on recursive browsing, using a large language model for final relevance assessment, and the broader considerations of efficient agent design for web information retrieval tasks. With their combined 25+ years of AI engineering experience, the hosts provide insights into this emerging and complex challenge.
—
Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.
Check out PromptDesk.ai for an open-source prompt management tool.
Check out Brad’s AI Consultancy at bradleyarsenault.me
Add Justin Macorin and Bradley Arsenault on LinkedIn.
Please fill out our listener survey here to help us create a better podcast: https://docs.google.com/forms/d/e/1FAIpQLSfNjWlWyg8zROYmGX745a56AtagX_7cS16jyhjV2u_ebgc-tw/viewform?usp=sf_link
Hosted by Ausha. See ausha.co/privacy-policy for more information.
52 episodes
Manage episode 421443630 series 3519364
[Bonus] This is a bonus episode. We had too many unreleased episodes in our backlog, so we decided to give you an extra treat this week! Hope you enjoy it!
Join the discussion on how AI agents can intelligently browse websites to retrieve specific information across links and pages. The hosts dive deep into techniques like embedding link text, URL paths, and accessibility attributes to compare against the desired information goal. They explore methods to filter and re-rank links through this embedding approach, accounting for factors like the total number of links per page and whether the target requires navigating across multiple sites.
The conversation covers setting reasonable boundaries on recursive browsing, using a large language model for final relevance assessment, and the broader considerations of efficient agent design for web information retrieval tasks. With their combined 25+ years of AI engineering experience, the hosts provide insights into this emerging and complex challenge.
—
Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.
Check out PromptDesk.ai for an open-source prompt management tool.
Check out Brad’s AI Consultancy at bradleyarsenault.me
Add Justin Macorin and Bradley Arsenault on LinkedIn.
Please fill out our listener survey here to help us create a better podcast: https://docs.google.com/forms/d/e/1FAIpQLSfNjWlWyg8zROYmGX745a56AtagX_7cS16jyhjV2u_ebgc-tw/viewform?usp=sf_link
Hosted by Ausha. See ausha.co/privacy-policy for more information.
52 episodes
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1 Towards an Inter-Agent Communication Standard 21:21




1 Measuring Business Results of LLMs with Abi Aryan 43:09





1 How to protect your LLM against Prompt Injections 22:00

1 How do we know if Llama 3 is actually any better with Maxime Labonne 34:07

1 The Importance of Decomposition in Prompt Engineering 16:00

1 How LLM’s have changed MLOps with Andy McMahon 44:09


1 Prompt Injections to Coerce any LLM to do Anything You Want with Jonas Geiping 42:52


1 AI Agents in the Enterprise with Alan Wunsche 45:11

1 Programming 10x Faster with AI Augmentation 26:22

1 Prompt Design for AI Art with Sachin Kamath 42:35





1 Prompt injection and LLM Security a Deep Dive with Peter Gostev 41:49

1 Why Small Language Models are Going to Eat the World 20:06

1 Data-free Quality Analysis of Deep Neural Nets with Charles H. Martin 53:42

1 Why AI Systems are More Complex than they Seem 21:16

1 How LLM-based Logic can Revolutionize Product Design 18:24
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