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Building Institutional Grade GenAI Agents - AI PM Community Session #33 

Product Management Exercises
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Become an AI product manager:
www.productmanagementexercise...
We delved into the core principles of building GenAI Agents for institutional use. Attendees gained valuable insights into essential tactics and proven strategies for developing sophisticated and reliable GenAI systems, perfectly suited for broad-scale applications.
If you wish to participate in our community sessions, we are offering our AI PM community sessions for free and open to the public every Saturday at 9:30 AM PST. Don't miss out on this incredible opportunity to grow in the AI product management field.
Visit the AI PM Community sessions page to learn more:
www.productmanagementexercise...
Become a world-class AI Product Manager!
Join our 4-week live online program with a small group of other product managers, learn the necessary concepts for navigating through the AI/ML space and being an effective PM, get year-round access to expert workshops, learning material, and coaching to help you become a great AI/ML product manager, and gain lifetime access to a community of high-caliber peers for networking and support in the AI/ML community.
Visit the AI/ML Product Management program to learn more:
www.productmanagementexercise...
Timestamps:
00:00:00 Intro
00:05:25 Machine Learning Co-Expos
00:09:53 Building a Startup
00:11:00 Function Calling in the Google Apps
00:16:04 OpenAI vs. Customization: How Much Should I Charge?
00:17:56 OpenAI: The Software of Questions
00:22:56 Cohere vs. OpenAI: Should You Go With Cohere
00:31:36 Pinecone: What is the Knowledge Base?
00:33:21 Can Cohere Help You Understand Your Business?
00:34:53 OpenAI: Assistant API vs. Collection
00:39:54 What Is the Problem with OpenAI Agents?
00:43:12 What Are the Challenges of Fine-tuning Custom 3.5?
00:44:21 Transfer Learning and Fine-tuning
00:46:14 How to start building with AWS
00:52:08 The AWS Agents Lab
01:03:05 Chatbot on AWS
#aidevelopment #mlprojects #aiexploration #techenthusiast #aidevelopment #learningai #aitechnology #programmingai #productmanager #aiproductmanager #artificialintelligence #mlengineer #productmanagement #pmcommunity #machinelearning #technology #innovation #communitysession #openai #agents #generativeai #institutionalgrade

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4 июл 2024

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Комментарии : 1   
@rajathslr
@rajathslr 13 дней назад
It was a wonderful session, I have one question, lets say there is a 600-page document, I want to perform RAG operation with two models 'GPT 4o' and 'OLLAMA-3(local)', in both cases I create my own vector database locally before querying the model, so once I share my vector database, is my data safe (meaning, can anyone else query my context after sharing vdb)
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