This slide is "How To Chat Gpt Works?". Here you will learn more things about chat Gpt. Here I discussed what is chat gpt, history of chat gpt, Algorithms & , chat gpt uses technology, advantage & disadvantage of chat gpt, limitations of chat gpt & most important point future works of chat gpt. And all reference link is here. Open & visit the link and learn more about chat Gpt. So , This slide will help for your learning .
N.B: If any information wrong then contact with us and please let me know, I will update the slide.
So Please download the slide and put here your review.
AI Infra Day | The Generative AI Market And Intel AI Strategy and Product Up...Alluxio, Inc.
AI Infra Day
Oct. 25, 2023
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jordan Plawner (Global Director of Artificial intelligence Product Management and Strategy, @Intel)
ChatGPT and other massive models represents an amazing step forward in AI, yet they do not solve real-world business problems. We will survey how the AI ecosystem has worked non-stop over this last year to take these all-purpose multi-task models and optimize them to they can be used by organizations to address domain specific problems. We will explain these new AI-for-the-real world techniques and methods such as fine tuning and how can be applied to deliver results which are highly performant with state-of-the-art accuracy while also being economical to build and deploy everywhere to enhance products and services.
AZConf 2023 - Considerations for LLMOps: Running LLMs in productionSARADINDU SENGUPTA
With the recent explosion in development and interest in large language, vision and speech models, it has become apparent that running large models in production will be a key driver in enterprise adoption of ML. Traditional MLOps, i.e. running machine learning models in production, already has so many variabilities to address starting from data integrity, data drift and model optimization. Running a large model (language or vision) in production keeping in mind business requirements is different altogether. In this talk, I will try to explain the general framework for LLMOps and certain considerations while designing a system for inferencing a large model.
This talk will be covered in sub-topics:
1. Model Optimization
2. Model fine-tuning
3. Model Editing
4. Model Serving and deployment
5. Model metrics monitoring
6. Embedding and artifact management
In each sub-topic, a brief understanding of the current open-source tool sets will also be mentioned so that tool-chain selection is a bit easier.
This slide is "How To Chat Gpt Works?". Here you will learn more things about chat Gpt. Here I discussed what is chat gpt, history of chat gpt, Algorithms & , chat gpt uses technology, advantage & disadvantage of chat gpt, limitations of chat gpt & most important point future works of chat gpt. And all reference link is here. Open & visit the link and learn more about chat Gpt. So , This slide will help for your learning .
N.B: If any information wrong then contact with us and please let me know, I will update the slide.
So Please download the slide and put here your review.
AI Infra Day | The Generative AI Market And Intel AI Strategy and Product Up...Alluxio, Inc.
AI Infra Day
Oct. 25, 2023
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jordan Plawner (Global Director of Artificial intelligence Product Management and Strategy, @Intel)
ChatGPT and other massive models represents an amazing step forward in AI, yet they do not solve real-world business problems. We will survey how the AI ecosystem has worked non-stop over this last year to take these all-purpose multi-task models and optimize them to they can be used by organizations to address domain specific problems. We will explain these new AI-for-the-real world techniques and methods such as fine tuning and how can be applied to deliver results which are highly performant with state-of-the-art accuracy while also being economical to build and deploy everywhere to enhance products and services.
AZConf 2023 - Considerations for LLMOps: Running LLMs in productionSARADINDU SENGUPTA
With the recent explosion in development and interest in large language, vision and speech models, it has become apparent that running large models in production will be a key driver in enterprise adoption of ML. Traditional MLOps, i.e. running machine learning models in production, already has so many variabilities to address starting from data integrity, data drift and model optimization. Running a large model (language or vision) in production keeping in mind business requirements is different altogether. In this talk, I will try to explain the general framework for LLMOps and certain considerations while designing a system for inferencing a large model.
This talk will be covered in sub-topics:
1. Model Optimization
2. Model fine-tuning
3. Model Editing
4. Model Serving and deployment
5. Model metrics monitoring
6. Embedding and artifact management
In each sub-topic, a brief understanding of the current open-source tool sets will also be mentioned so that tool-chain selection is a bit easier.
프레젠테이션 그리고 디자인
*당연한 5가지 원칙
- 진실만을 말하라
- 핵심을 공략하라
- 적절한 도구를 선택하라
- 중요한 부분을 강조하라
- 간단명료하게 표현하라
*실행해야할 5가지 원칙
- 청중은 왕이다.
- 아이디어를 전파하고 사람들을 움직인다.
- 내가 말하는 것을 볼 수 있게 돕는다.
- 장식이 아니라 디자인이다.
- 건강한 관계를 만든다.
우리는 피피티를 만드는데 너무 많은 시간을 쓰고 있습니다.
피피티는 잘 해야 하는 것이 아니라 기본만 하면 되는 것입니다.
피피티로 날밤새지 않고, 피피티로 무시받지 않는 방법!
프레젠테이션 기획, 제작, 발표까지, 그 기본을
야매피티가 알려드립니다.
2015.10.04 야매피티 version 2.0 update
2017.05.24 야매피티 version 3.0 update
한국산업기술협회에서는 올해 처음으로 시행되는
"3D프린팅 운용관리사"자격증 과정을 시작하였습니다.
이 자격증 과정의 강의와 시험출제, 감독을
리안코칭센터 전임강사 진성준 강사가 담당하게 되어
이렇게 홍보를 하고 있습니다.
아래와 같이 교육과정을 모집하오니 많은 관심과 참여를 부탁드리겠습니다.
감사합니다.
.
---< 아 래 >---
한국산업기술협회 자격과정
3D프린팅 운용관리사
.
자격과정 회차 (각 회차 5일 (30hr))
1회 : 20 1 7년 7월 1 7일 ~ 201 7년 7월 2 1 일
2회 : 20 1 7년 8일 21 일 - 2017년 8월 25일
.
응시자격 :
1. 관련 분야 실무 종사자 또는 관련 학과 재학생
2, 한국산업기술협회연수원에서 진행하는 "3D프린 팅 운용관리사” 교육과정을 이수한 자
.
- 자격과정 교육비 : 재직자 600,000원, 재학생 200,000원
- 자격시험 응시료(별도) : 100.000원 (재직자. 재학생 동일)
.
3D프린터 H/W 및 S/W 개발보다는 3D프린터 활용에 중심을 두고. 개인의 창의력을 발휘할 수 있도록 사용방법을 이해하고 습득하는 교육 과정입니다.
교육 진행은 개론부터 3D프린터 장비 교육 및 모델링, 적용사례와 시장동향 파악을 통해 3D프린팅의 산업분야까지 3D프린팅의 전반을 이해 할 수 있도록 학습을 통해 개인에게 3D프린터 기술을 전달하는데 목적을 두고 있습니다.
이 세상의 모든 사물은 하나의 색만으로 존재할 수 없습니다.
빨간색 사과가 빨간색인 것처럼 보이지만 거기에는 밝은 빨강, 어두운 빨강, 약간 노란 빨강 등 수많은 빨강의 조합으로 만들어져 있죠.
하얀색 커피잔 또한 흰색인 것처럼 보이지만 빛의 영향으로 잔 안쪽은 어둡게, 바깥쪽은 밝게 보이죠.
그래서 그림을 그릴 때 색을 다양하게 사용하면 좀 더 그럴듯하고 자연스러운 형태를 얻을 수 있습니다.
그리고 그 색들을 자연스럽게 혼합하는 방법을 그라데이션이라고 합니다.