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เข้าร่วมเมื่อ 14 มิ.ย. 2023
Aws Bedrock- Part 2
#AWS #bedrock
Here i described Bedrock Functionalities.
- How to use Bedrock
- Its Advantages and Disadvantages
- Use Cases
Here i described Bedrock Functionalities.
- How to use Bedrock
- Its Advantages and Disadvantages
- Use Cases
มุมมอง: 0
วีดีโอ
Introduction for AWS services - Part 1
14 วันที่ผ่านมา
Learn about followieng Aws services in detailed: 1. Aws bedrock 2. aws sagemaker 3. aws lambda 4. aws ec2
OpenAI Projects Generations Part 3
มุมมอง 1114 วันที่ผ่านมา
How to interact with OpenAI Projects - Model Instructions - Model content generation - Prompt Engineering
OpenAI Projects Generations Part 2
มุมมอง 2314 วันที่ผ่านมา
How to interact with OpenAI Projects - Model Instructions - Model content generation - Prompt Engineering
OpenAI Projects - Generation
มุมมอง 1714 วันที่ผ่านมา
How to interact with OpenAI Projects - Model Instructions - MOdel content generation - Prompt Engineering
TensorRT LLM Start!
มุมมอง 2421 วันที่ผ่านมา
TensorRT LLM Start! TensorRT Onnx - www.udemy.com/course/learn-tensorflow-pytorch-tensorrt-onnx-from-scratch/ Generative AI - www.udemy.com/course/web-applications-with-large-language-model-fast-inference/
LOTUS: LOTUS Makes LLM-Powerd Data Processing Fast and Easy
มุมมอง 4221 วันที่ผ่านมา
THis is LOTUS: An Advanced Open Source Query Engine with a DataFrame API and Semantic Operators lotus-ai.readthedocs.io/en/latest/installation.html Please feel free to post questions. if you want to know more about this , Please to my course: 1. www.udemy.com/course/learn-tensorflow-pytorch-tensorrt-onnx-from-scratch/ 2. www.udemy.com/course/web-applications-with-large-language-model-fast-infer...
How and When to use Google Studio AI
มุมมอง 1221 วันที่ผ่านมา
If you want to know more about Google studio AI, please refer to aistudio.google.com/apikey
Why and when to Use LLama - Meta
มุมมอง 1721 วันที่ผ่านมา
This is meta Llama models : Please feel free to ask me about any related questions
QT Web Application Widgets with Javascript Functionality
มุมมอง 1717 หลายเดือนก่อน
QT Web Application Widgets with Javascript Functionality
QT WEB Engine View Interaction with HTTPS protocol
มุมมอง 267 หลายเดือนก่อน
QT WEB Engine View Interaction with HTTPS protocol
YoloV7 Fast Video Inference Detect and Track
มุมมอง 289 หลายเดือนก่อน
YoloV7 Fast Video Inference Detect and Track
Deep Reinforcement Learning with Frozen Lake Environment. Success!!
มุมมอง 10310 หลายเดือนก่อน
Deep Reinforcement Learning with Frozen Lake Environment. Success!!
Deep Q Learning with Theory and Deep Practical Code
มุมมอง 1611 หลายเดือนก่อน
Deep Q Learning with Theory and Deep Practical Code
Javascript, Html,Css, YoloV7 TENSORRT INFERENCE
มุมมอง 2811 หลายเดือนก่อน
Javascript, Html,Css, YoloV7 TENSORRT INFERENCE
Hardware Embedded Protocols, RS232, RS422, RS485 Part 3
มุมมอง 2ปีที่แล้ว
Hardware Embedded Protocols, RS232, RS422, RS485 Part 3
Hardware Embedded Protocols, RS232, RS422, RS485 Part 2
มุมมอง 12ปีที่แล้ว
Hardware Embedded Protocols, RS232, RS422, RS485 Part 2
Hardware Embedded Protocols, RS232, RS422, RS485 Part 1
มุมมอง 25ปีที่แล้ว
Hardware Embedded Protocols, RS232, RS422, RS485 Part 1
YOLOP Detection and Segmentatin with ONNX inference
มุมมอง 88ปีที่แล้ว
YOLOP Detection and Segmentatin with ONNX inference
really helpful
Cool, the fps is so high, how you can achieve that? Did you use yolov8s?
i used tensorrt. if you want to know about the implementation.Please follow my course : www.udemy.com/course/learn-tensorflow-pytorch-tensorrt-onnx-from-scratch/
sausage english :)
If I run html file shows failed to fetch data
Can I request for full coupon code
for which course?
Hello coach, Would you be able to have a little business chat with me concerning your Udemy course?
eline sağlık güzel bir video olmuş
May I know How much was the size of docker image? since I am getting it above 6 GB!
6gb is docker image or gpu memory size in your case?
Thank you for the explanations!
thanks to you. if you want to learn more and apply those theoritcal skills into practice, i kindly sugest you to look through my course: www.udemy.com/course/learn-tensorflow-pytorch-tensorrt-onnx-from-scratch/
looks good, can you guide me how can i prepare data for road segmentation?
Hi, Sure. would you like to implement binary or multiclass segmentation. And also your task is semantic or instance segmentation.
@@ArtificialIntelligenceon-ww9hm Maybe multiclass segmentation with instance segmentation, Basically I want to train the model to find the road path, road lane and detect vehicles.
@@moviearchive3718 yes sure. i actually i teach these materials via course: www.udemy.com/course/learn-tensorflow-pytorch-tensorrt-onnx-from-scratch/
I am looking forward to it
how can anyone deploy it on internet?
do you want to render to html?
is gpu reauired for tensor rt?
ofcourse. tensorrt is library based on cuda