This media is not supported in your browser
VIEW IN TELEGRAM
π
01 - Accelerate everyday tasks with OpenAIs Operator
π₯5
This media is not supported in your browser
VIEW IN TELEGRAM
π
03 - Creating and monitoring tasks with OpenAIs Operator
π₯5β€1
π
Building a Personalized Chatbot with OpenAI and LangChain
π Author: Dhhyey Desai
π° Level: Intermediate
β° Duration: 22m
π Topics: LangChain, OpenAI Products, Chatbot Development
π€ Join OpenAI Tutorials for more courses
π Learn how to build a fully personalized chatbot with LangChain and OpenAI.
Please open Telegram to view this post
VIEW IN TELEGRAM
β€9
Are you a Python programmer looking to expand your skill set with AI, machine learning, and APIs? In this course, instructor Dhhyey Desai shows you how to use LangChain and OpenAI to build a fully personalized chatbot thats trained on your data through a PDF file.Learn the fundamentals of setting up and preparing data, including the development environment, PDF, and website data. Along the way, Dhhyey provides an overview of what it takes to successfully build a chatbot, from integrating OpenAI for responses to building the LangChain architecture and using Flask for chatbot deployment.
Please open Telegram to view this post
VIEW IN TELEGRAM
β€12
Please open Telegram to view this post
VIEW IN TELEGRAM
β€12
Please open Telegram to view this post
VIEW IN TELEGRAM
β€27π₯9π3
The company I work for demonstrated a proof of concept today using a ChatGPT model for image recognition to pre-fill and verify data, previously a manual task. By automating this process, we saved about six minutes per instance. That doesnβt sound like much, right?
Well, this process runs 282,000 times a year, resulting in a staggering 28,000 hours saved.
Letβs estimate an hourly rate of $25. A simple AI use case like this just saved the company $700,000 per year. And this was just build and released in a matter of months.
This is one of the many examples I've seen so far. Right now, the company is experimenting with 10 other proof of concepts for various use cases. Many of which I believe will scale massively over time. The same goes for many other businesses right now. They are still very much in the experimental phase. Only just beginning to grasp the massive potential of AI.
This is why Iβve positioned my portfolio heavily in companies that benefit from the various stages of AI adoption. Investing is about looking to the future, and I truly believe thereβs so much more to come. As both an investing and tech geek, I find this incredibly exciting.
Please open Telegram to view this post
VIEW IN TELEGRAM
β€33π7π₯3
Media is too big
VIEW IN TELEGRAM
π
Building a Document Summarizer App with Flask and OpenAI
In this video, I'll use the OpenAI API to summarize documents uploaded to a Flask app.
π» Code written in video
https://prettyprinted.com/l/LkQ
In this video, I'll use the OpenAI API to summarize documents uploaded to a Flask app.
π» Code written in video
https://prettyprinted.com/l/LkQ
β€15
π Automate tasks, build personal tools and prototypes β perfect for creatives, ex-coders & product minds.
Please open Telegram to view this post
VIEW IN TELEGRAM
β€21
02 - Using Python Libraries for Simple Projects.zip
113.3 MB
02 - Using Python Libraries for Simple Projects
β€6
03 - Using Multiple Libraries for Complex Projects.zip
400.5 MB
03 - Using Multiple Libraries for Complex Projects
β€10
Please open Telegram to view this post
VIEW IN TELEGRAM
β€34π4π₯2